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Job Title: GenAI Developer/ Engineer
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Location - Bangalore
Experience - 6 to 10
Skills and Qualifications:
Preferred skills:
Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)
GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel
Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch
Key Responsibilities:
- Develop scalable Python applications focused on GenAI
- Knowledge of Snowflake Cortex is a big plus.
- Learn and apply techniques like document chunking and embeddings
- Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
- Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
- Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
- Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
- Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
- Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
- Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
- Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
- Design and implement scalable RESTful APIs and microservices to expose AI functionalities
- Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
- Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
- Follow coding best practices and contribute to testing and documentation
- Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
- Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
- Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.
Ready to apply?
Apply to CapcoThe Role
Lead the maturation of Securly's content classification system — building the ML infrastructure that determines, at scale, whether web content is appropriate for K-12 students, and establishing the rigorous evaluation framework that product and leadership teams depend on.
This is applied ML with direct student safety impact — not research. You will lead a significant uplift of Securly's classification models: refactoring binary models to proper multiclass classification, building labeled evaluation datasets, and producing standardized model cards with per-category precision, recall, F1, and confusion matrix analysis.
At L5, you are the technical leader of the data science function for content safety. You will define the evaluation methodology the team follows, set the standard for what a model card must contain before a model ships, mentor the team on applied ML rigor, and serve as the interface between data science and engineering on production integration constraints.
What It Means to Be L5 at Securly
L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.
- Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
- Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
- Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
- Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
- Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
- Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
- Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.
What You'll Do
- Define the evaluation methodology for content classification at Securly: establish what a model card must contain and hold every model release to that standard before it ships.
- Lead the multiclass refactor of Securly's content classification models: redesign binary models to handle multi-label, multi-class content categories (Adult Content, Violence, Self-Harm, Social Media, and others).
- Build and maintain labeled evaluation datasets with robust annotation workflows; address class imbalance and label noise systematically; document dataset curation decisions in a versioned data card.
- Connect offline evaluation to production monitoring — surface classification drift and error patterns before they become customer-facing issues.
- Investigate and resolve misclassification errors: false positives (over-blocking) and false negatives (under-blocking); produce written root cause analyses.
- Build and maintain training data pipelines: ingestion, cleaning, labeling, and versioning at scale.
- Mentor the existing AI team on evaluation methodology, model development practices, and data science communication rigor.
- Communicate precision/recall tradeoffs to product managers and engineers; produce executive-level summaries of classification quality for leadership.
- Collaborate with engineering to integrate model outputs into the production filtering stack with appropriate latency and reliability constraints.
- Research and prototype improvements: feature representations, model architectures, active learning for label efficiency, domain adaptation for emerging content categories.
Skills & Requirements
Must-Have
- Machine learning — multi-label/multi-class classification, model evaluation methodology, handling class imbalance, feature engineering for text and URL data. 5+ years in applied ML roles.
- Python (ML stack) — production-quality code: scikit-learn, PyTorch or TensorFlow, pandas, numpy. Notebooks for exploration; production-grade pipelines for delivery.
- Text / NLP feature engineering — URL tokenization, domain analysis, HTML content features, TF-IDF or embedding-based representations for web content classification.
- ML evaluation rigor — precision/recall tradeoffs, confusion matrix analysis, offline vs. online evaluation, A/B testing, reproducible model cards. At L5, you define the evaluation standard.
- Data engineering for ML — training data pipelines, data versioning, handling noisy and partially labeled datasets, annotation workflow design.
- Technical communication and stakeholder influence — ability to present quantitative model quality findings to both engineering and non-technical leadership.
Strongly Preferred
- Large-scale classification in production — shipping models with latency and throughput constraints; understanding the gap between offline eval metrics and live production behavior.
- Active learning / annotation workflows — strategies for efficient label acquisition on large, imbalanced datasets.
- Cloud ML infrastructure — AWS SageMaker, GCP Vertex AI, or equivalent for training pipelines, experiment tracking, and model deployment.
Nice to Have
- Web content / URL classification domain — prior work on web categorization, safe browsing, or content policy systems.
- K-12 / CIPA compliance — understanding of regulated content categories and compliance requirements around false negative rates.
- LLM-based classification — zero-shot or few-shot content classification for emerging categories without labeled training data.
- Graph / network features — domain co-occurrence, DNS graph signals, or network-based features for domain classification at scale.
Who You Are
- You have shipped ML models to production and lived with the consequences — you know what model drift looks like and how to catch it before it becomes a customer issue.
- You treat evaluation as a first-class engineering artifact. A model without a model card is not finished — and you set and enforce that standard for the team.
- You define the methodology, not just apply it. You produce the evaluation framework that other data scientists use, and you hold them to it.
- You can communicate precision/recall tradeoffs to a product manager and to a senior engineer in the same conversation, calibrated to each audience.
- You are energized by problems with real stakes: a false negative in Self-Harm classification is not an acceptable error rate.
- You mentor by example and by expectation: your code, your analysis, and your documentation set the standard.
About Securly
Securly processes over 1.1 billion requests per day and 54 TB of data daily, protecting more than 20 million students across 20,000+ schools globally. Since pioneering the first cloud-based web filter for K-12 in 2013, Securly has built one of the most trusted, high-scale platforms for student safety, wellness, and engagement. By turning data into meaningful, actionable intelligence, Securly enables schools to identify risk earlier, reduce harmful incidents, and strengthen student support.
We are proud to be consistently recognized as a Top Place to Work, named a Top 40 Most Used EdTech platform, and included on the GSV 150 list as one of the most transformational growth companies in digital learning and workforce skills.
Benefits
- Comprehensive Health Insurance (employee, parents, spouse, children)
- Accidental & Term Life Insurance
- Learning & Development reimbursement
- Paid Time Off
- Public Holidays (10+ per year)
- Retirement Benefits (EPF & gratuity)
- Parental Leave (as per statutory norms)
Securly is an Equal Opportunity Employer committed to inclusion, fairness, and respect. We welcome applicants from all backgrounds, identities, and experiences. #LI-REMOTE #LI-DO1
Ready to apply?
Apply to Securly
The Role
The Senior Data Scientist will lead the maturation of Securly's content classification system — building the ML infrastructure that determines, at scale, whether web content is appropriate for K-12 students, and establishing the rigorous evaluation framework that product and leadership teams depend on.
This is applied ML with direct student safety impact — not research. You will lead a significant uplift of Securly's classification models: refactoring binary models to proper multiclass classification, building labeled evaluation datasets, and producing standardized model cards with per-category precision, recall, F1, and confusion matrix analysis.
At L5, you are the technical leader of the data science function for content safety. You will define the evaluation methodology the team follows, set the standard for what a model card must contain before a model ships, mentor the team on applied ML rigor, and serve as the interface between data science and engineering on production integration constraints.
What It Means to Be L5 at Securly
L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.
- Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
- Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
- Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
- Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
- Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
- Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
- Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.
What You'll Do
- Define the evaluation methodology for content classification at Securly: establish what a model card must contain and hold every model release to that standard before it ships.
- Lead the multiclass refactor of Securly's content classification models: redesign binary models to handle multi-label, multi-class content categories (Adult Content, Violence, Self-Harm, Social Media, and others).
- Build and maintain labeled evaluation datasets with robust annotation workflows; address class imbalance and label noise systematically; document dataset curation decisions in a versioned data card.
- Connect offline evaluation to production monitoring — surface classification drift and error patterns before they become customer-facing issues.
- Investigate and resolve misclassification errors: false positives (over-blocking) and false negatives (under-blocking); produce written root cause analyses.
- Build and maintain training data pipelines: ingestion, cleaning, labeling, and versioning at scale.
- Mentor the existing AI team on evaluation methodology, model development practices, and data science communication rigor.
- Communicate precision/recall tradeoffs to product managers and engineers; produce executive-level summaries of classification quality for leadership.
- Collaborate with engineering to integrate model outputs into the production filtering stack with appropriate latency and reliability constraints.
- Research and prototype improvements: feature representations, model architectures, active learning for label efficiency, domain adaptation for emerging content categories.
Skills & Requirements
Must-Have
- Machine learning — multi-label/multi-class classification, model evaluation methodology, handling class imbalance, feature engineering for text and URL data. 5+ years in applied ML roles.
- Python (ML stack) — production-quality code: scikit-learn, PyTorch or TensorFlow, pandas, numpy. Notebooks for exploration; production-grade pipelines for delivery.
- Text / NLP feature engineering — URL tokenization, domain analysis, HTML content features, TF-IDF or embedding-based representations for web content classification.
- ML evaluation rigor — precision/recall tradeoffs, confusion matrix analysis, offline vs. online evaluation, A/B testing, reproducible model cards. At L5, you define the evaluation standard.
- Data engineering for ML — training data pipelines, data versioning, handling noisy and partially labeled datasets, annotation workflow design.
- Technical communication and stakeholder influence — ability to present quantitative model quality findings to both engineering and non-technical leadership.
Strongly Preferred
- Large-scale classification in production — shipping models with latency and throughput constraints; understanding the gap between offline eval metrics and live production behavior.
- Active learning / annotation workflows — strategies for efficient label acquisition on large, imbalanced datasets.
- Cloud ML infrastructure — AWS SageMaker, GCP Vertex AI, or equivalent for training pipelines, experiment tracking, and model deployment.
Nice to Have
- Web content / URL classification domain — prior work on web categorization, safe browsing, or content policy systems.
- K-12 / CIPA compliance — understanding of regulated content categories and compliance requirements around false negative rates.
- LLM-based classification — zero-shot or few-shot content classification for emerging categories without labeled training data.
- Graph / network features — domain co-occurrence, DNS graph signals, or network-based features for domain classification at scale.
Who You Are
- You have shipped ML models to production and lived with the consequences — you know what model drift looks like and how to catch it before it becomes a customer issue.
- You treat evaluation as a first-class engineering artifact. A model without a model card is not finished — and you set and enforce that standard for the team.
- You define the methodology, not just apply it. You produce the evaluation framework that other data scientists use, and you hold them to it.
- You can communicate precision/recall tradeoffs to a product manager and to a senior engineer in the same conversation, calibrated to each audience.
- You are energized by problems with real stakes: a false negative in Self-Harm classification is not an acceptable error rate.
- You mentor by example and by expectation: your code, your analysis, and your documentation set the standard.
About Securly
Securly processes over 1.1 billion requests per day and 54 TB of data daily, protecting more than 20 million students across 20,000+ schools globally. Since pioneering the first cloud-based web filter for K-12 in 2013, Securly has built one of the most trusted, high-scale platforms for student safety, wellness, and engagement. By turning data into meaningful, actionable intelligence, Securly enables schools to identify risk earlier, reduce harmful incidents, and strengthen student support.
We are proud to be consistently recognized as a Top Place to Work, named a Top 40 Most Used EdTech platform, and included on the GSV 150 list as one of the most transformational growth companies in digital learning and workforce skills.
Benefits
- Comprehensive Health Insurance (employee, parents, spouse, children)
- Accidental & Term Life Insurance
- Learning & Development reimbursement
- Paid Time Off
- Public Holidays (10+ per year)
- Retirement Benefits (EPF & gratuity)
- Parental Leave (as per statutory norms)
Securly is an Equal Opportunity Employer committed to inclusion, fairness, and respect. We welcome applicants from all backgrounds, identities, and experiences. #LI-REMOTE #LI-DO1
Ready to apply?
Apply to Securly
Data Engineer
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Rhombus Power, Inc. delivers AI-powered predictive intelligence in real time for defense and national security organizations worldwide. Our mission-built products— Ambient AI and Guardian— are transforming strategic, operational, and tactical decision-making. By empowering the shift from reactive analysis to proactive, predictive intelligence and decision support, Rhombus Power is providing foresight and freedom of action when it matters most.
Come join our cross-disciplinary and world-class team that is delivering game-changing solutions to transform global security.
Learn more about Rhombus Power, Inc. and watch a demonstration of Guardian, our AI Platform here:
https://www.youtube.com/watch?v=3PxY6su1Q-Q
https://www.youtube.com/@rhombuspower8558/videos
https://www.youtube.com/watch?v=Iby5WVNfQiI
See the following articles to learn more about what we do:
Rhombus Power India is purposefully transforming the nation’s defense and national security enterprises with Guardian, its Artificial Intelligence platform for strategic, operational, and tactical decision-making at the speed of relevance.
We are looking for people who are driven by a sense of purpose. In this role, you will serve as a Data Engineer to solve our customer’s uniquely complex problems. We expect you to be a systems-level thinker and a real doer. You will excel in this role if you are hungry to make a difference and are intellectually bold. And we sure hope that you smile when you hear our clients say, “If we can dream it, Rhombus can do it.”
Come join our cross-disciplinary and world-class team of technologists who are working hard every day to deliver game-changing solutions to transform national security.
Location
New Delhi, India
Job Description
Rhombus’ Data Engineers are instrumental in designing and implementing data engineering activities on topical, mission-driven projects that inform our national security agenda. They analyze, build, and maintain our organization’s data infrastructure and processing systems. As a Data Engineer, you’ll perform various code development and query needs for integration with new and existing applications, dashboards and machine learning pipelines. You’ll work cross functionally with other departments and utilize your skills at all stages of the analytics pipeline to create results that drive business values and customer success! You’ll be asked to travel to client sites where you’ll engage and collaborate directly with the client to discuss data pipelines, solutioning, and to ensure a strong client connection.
Responsibilities:
- Develop code using various programming and scripting languages to automate data ingestion and improve data management processes.
- Architect data repositories, stand up data platforms and develop data pipelines for ingestion, transformation, and aggregation.
- Review existing architecture, data strategy, and improve processes for data governance, data quality, and metadata management.
- Extract and analyze raw data from multiple data sources via APIs, SQL Stored Procedures, or Python scripts.
- Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms.
- Collaborate with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced, agile environment.
- You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for clients.
- Communicate project status and results to various levels of leadership.
Qualifications:
- A Bachelor’s degree in Data Analytics, Computer Science, Computer Engineering, Information Systems/Sciences, or other relevant area (or equivalent experience) and at least 1 year of professional experience, or a Master’s degree with strong academic project experience.
- Experience with 1 or more programming and scripting languages, with a strong focus on Python, Pandas and Numpy. Other languages include: Shell, PERL, Java, C/C++/C#, Scala, etc.
- Experience with 1 or more of the following relational, noSQL and/or file based storage (e.g. MYSQL, MongoDB, SQL Server, Oracle, Postgres, Hbase, DynamoDB, etc.)
- Experience building and maintaining ETL data pipelines
- Experience with software development life cycle including testing, documenting, delivery and support
- Working knowledge of AWS/cloud technologies
- Experience using query optimization as well as data modeling techniques.
- Familiarity with machine learning frameworks (such as TensorFlow, Scikit-Learn, etc.)
Personal Qualities:
- Ability to contextualize data as it relates to Rhombus’ vision. We want someone who can understand the “why” and “so what”, and not just the “how”. Our Data Engineers help us transmit the enthusiasm we have around the data work to the individuals doing that work.
- Must have strong problem-solving skills and demonstrated excellent oral and written communication skills.
- We’re seeking folks with strong intellectual curiosity and creativity, with an ability and willingness to learn new skills and apply novel solutions to problems.
- Comfort in a fast-paced start-up environment is crucial, with the ability to consistently revise your approach in response to new information, and to be flexible and adaptive.
Ready to apply?
Apply to Rhombus Power, Inc.
Applied Data Scientist - Research
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About HG Insights
HG Insights is the pioneer of Revenue Growth Intelligence. For more than a decade, we have delivered comprehensive, AI-driven datasets on B2B buyers, technology adoption, IT spend, and buyer intent, sourced from billions of data points. Today, we are a trusted partner to Fortune 500 technology companies, hyperscalers, and innovative B2B vendors seeking precise go-to-market analytics and decision-making.
Through an evolving suite of AI agents that incorporate first-party data and buyer signals, HG Insights enables AI-powered GTM automation across sales, marketing, RevOps, and data analytics teams, modernizing GTM execution from strategy through activation.
Role Overview
The Applied Data Scientist - Research is a collaborative analytical partner to the Head of Data Science, contributing to the design and validation of GTM insights that power the Contextual Intelligence initiative.
You will co-develop insight logic, selecting signals, designing scoring frameworks, prototyping models in Python, and validating outputs. You will also contribute to the production-ready briefs that are implemented in the data production pipeline by the engineering team.
This role sits at the intersection of statistical modeling, structured data analysis, and applied AI. You are comfortable reasoning about how to measure something rigorously, how entities and relationships in a knowledge graph can be leveraged, and how to use LLMs as a practical tool in the insight development workflow, not as a subject of research, but as part of the toolkit.
What You Will Do
Insight & Model Development
- Co-develop scoring frameworks and metrics models, contributing to signal selection, weighting logic, and model structure across a range of GTM insight types (acquisition,expansion, retention, strategic)
- Prototype insight logic in Python notebooks: assembling features from HG's structured data assets, implementing model components, and stress-testing outputs.
- Design and run validation experiments to confirm that insight outputs are directionally correct, well-calibrated, and meaningful across the full vendor universe
- Contribute to ontology and entity design, thinking through how vendors, products, companies, and relationships should be structured to support a given insight, informed by a conceptual understanding of the knowledge graph schema
Production Brief Development
- Translate insight designs into clear, implementation-ready production briefs
- Document model specifications precisely: component definitions, feature engineering, aggregation logic, edge case handling, and expected output distributions
- Participate in handoff reviews with the production function, answering implementation questions and refining specs based on feasibility feedback
Insight Research & Discovery
- Contribute to the prioritized insights catalog, researching new insight ideas, assessing data availability, and framing feasibility
- Stay current on GTM data science approaches, competitive intelligence methodologies, and relevant analytical techniques that could expand the insight library
What We're Looking For
Core Skills
- Statistical modeling depth: Ability to design and implement a range of scoring and metrics models from first principles; comfortable with component weighting, normalization, signed rate-of-change metrics, composite aggregation, and distribution analysis; knows when a technique is appropriate and why
- Python for analytical prototyping: Strong notebook-based Python for data manipulation, feature construction, model prototyping, and output validation; pandas, NumPy, and Scikit are daily
- SQL: Proficient in querying structured data at scale; used for signal extraction, feature derivation, and validation checks across large vendor and company datasets
- Analytical rigor & validation thinking: Ability to critically evaluate whether a model is measuring what it claims to measure; designs validation experiments, checks edge cases, and flags when outputs don't pass a sanity check
- Clear technical communication: Able to translate analytical logic into precise written specifications; the production brief is a key deliverable
Applied AI & Graph Literacy
- LLM API usage: Hands-on experience using Claude, GPT, or equivalent APIs as a practical tool; can design effective prompts, integrate LLM steps into an analytical workflow, and evaluate output quality critically
- Knowledge graph concepts: Conceptual understanding of how entities, relationships, and properties are structured in a graph; able to reason about how graph-derived features (e.g., vendor-product-company traversals) should inform insight design, without necessarily writing production Cypher
Nice to Have
- GTM/Management Consulting, or IT Research experience, familiarity with concepts like install base, intent signals, competitive intelligence, and market analysis. Experience writing Cypher or querying graph-structured data directly
- Experience working collaboratively with engineering, product and GTM teams
- Experience in a B2B SaaS or data products environment
Tools & Environment
Primary
- Python (pandas, NumPy, scipy, Jupyter)
- SQL
- LLM APIs (Claude, GPT)
- Git and version control
Working Knowledge
- Databricks
- Cloud storage
- Knowledge graph concepts
Ready to apply?
Apply to HG Insights
At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
About the Role
We are seeking a Senior AI Engineer with a strong foundation in Python capabilities, and hands-on experience building Agentic AI applications that integrate with Large Language Models (LLMs) Large Language Models (LLMs). We are also looking for him to be a full-stack Engineer with hands-on experience with mobile front-end hands-on experience with mobile front-end Flutter, React-native. This role blends traditional backend engineering expertise with next-generation AI agentic systems development, requiring not just system design skills, but also creativity in prompt engineering, AI product development and working with data-rich environments.
You will contribute to the design and implementation of intelligent backend services that coordinate LLMs, agents, and data workflows to support enterprise-grade agentic systems.
Key Responsibilities
- Develop robust, scalable Java/Python based backend systems that enable the orchestration of Agentic AI workflows.
- Develop state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection.
- Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
- Hands on experience with mobile front-end Flutter, React-native etc.
- Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow, with seamless integration into production systems.
- Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models.
- Work closely with various stakeholders to design agent architectures and LLM toolchains (using frameworks like LangGraph, Crew AI, AutoGen, etc.).
- Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents.
- Collaborate with data engineers to ensure clean, efficient, and real-time access to structured and semi-structured data.
- Apply prompt engineering best practices to improve agent behavior, task accuracy, and adaptability.
- Monitor and optimize service performance, reliability, and scalability in production environments.
- Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies.
- Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development.
Required Qualifications
- 5+ years of overall experience mobile front-end Flutter, React-native etc
- 2+ years of experience in developing and deploying machine learning models and AI products in production environments.
- Experience in Agentic AI systems development using tools such as LangGraph, Crew AI, AutoGen, or similar.
- Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools (Spark, Kafka, Airflow).
- Experience integrating or orchestrating LLMs within business workflows or intelligent assistants.
- Solid understanding of prompt engineering techniques (e.g., system messages, chaining, tool invocation prompts).
- Familiarity with data engineering concepts, including pipelines, data models, and ETL workflows.
- Strong grasp of object-oriented design, data structures, and algorithms.
Preferred Qualifications
- Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, RAG pipelines).
- Background in building microservices or backend systems for data-rich AI/ML platforms.
- Experience with vector databases, embedding services, or semantic search integration.
- Knowledge of cloud platforms (AWS, GCP, or Azure), containerization (Docker), and DevOps best practices.
- Experience in developing LLM-powered agents, copilots, or task bots.
What We Offer
- Opportunity to work on cutting-edge backend and AI systems, including agentic automation and LLM innovation.
- A flexible hybrid work model in our Bangalore office.
- Competitive compensation with performance-based rewards.
- A culture that promotes engineering excellence, experimentation, and growth.Access to learning platforms, technical workshops, and industry-leading AI research.
Why Join Reltio?*
- Health & Wellness:
- Comprehensive Group medical insurance including your parents with additional top-up options.
- Accidental Insurance
- Life insurance
- Free online unlimited doctor consultations
- An Employee Assistance Program (EAP)
- Work-Life Balance:
- 36 annual leaves, which includes Sick leaves – 18, Earned Leaves - 18
- 26 weeks of maternity leave, 15 days of paternity leave
- Very unique to Reltio - 01 week of additional off as recharge week every year globally
- Support for home office setup:
- Home office setup allowance.
- Stay Connected, Work Flexibly: Mobile & Internet Reimbursement
- No need to pack a lunch—we’ve got you covered with a free meal.And many more…..
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Ready to apply?
Apply to Reltio
Senior Manager_MLE
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The Company
CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week.
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2,200+
Customers
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10 of Top 12
CPG Companies
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900+
Retailers Connected
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$200M+
Raised
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Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO.
Company Overview
At CommerceIQ, we help consumer brands accelerate their retail ecommerce market share growth and profitability through machine learning algorithms. We are building the world’s most complete and sophisticated Retail Ecommerce Management Platform, which connects and intelligently automates the management of retail ecommerce channels like Amazon, Walmart, and Instacart, across the entire ecommerce operational chain of retail media management, sales operations, supply chain, and digital self analytics.
We are in hyper growth mode, having recently raised our Series D funding at unicorn valuation (>$1B) and ended our third year of triple-digit revenue growth. Continued acceleration of our growth is fueled by landing new customers, expanding our platform through new products, managing new retail ecommerce platforms, and delivering exceptional customer service to unlock high net retention rates.
What You’ll Be Doing
As a Lead ML Engineer in the Data Science team, you will work closely with the engineering, product, and operations teams to build state-of- the-art ML based solutions for B2B SaaS products. This will entail applying advanced ML algorithms at scale for core products and developing robust end to end production pipelines which includes Human-in-the-Loop component to boost the quality.
In this role, you will find innovative ways to apply emerging technologies to improve business processes and drive more value for customers. The ideal candidate will have a strong background in machine learning model development, natural language processing and understanding, and data analysis which they can utilize to manage and improve our company’s AI/ML initiatives.
- Architect and Own multiple AI driven end to end pipelines that allows for deployment and scalability of machine learning models
- Build tools and capabilities that help with data ingestion to feature engineering, data management and organization
- Build tools and capabilities for scalability through distributed optimization
- Deploy cutting edge algorithms like LLMs etc. on GPUs at scale
- Work with stakeholders on the research and software engineering side of the company to understand how to support their teams
- Build tools and capabilities for model management and model performance monitoring
- Build operating services at scale with high availability and reliability
- Propose and implement the best engineering practices for scaling ML-powered features, with a goal to enable the fast iteration of and efficient experimentation with novel features
- Contribute and influence the ML infrastructure roadmap in collaboration with Data Science team
What we are looking for -
- Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 5+ years of experience in solving of experience in machine learning engineering problems
- Experience and understanding of the entire machine learning pipeline from data ingestion to production
- Experience with machine learning operations, software engineering, and architecture
- Experience with large-scale systems including parallel computing and GPUs
- Experience architecting and building an AI pipelines that supports productionization of ML models
- Experience with MLOps systems
- Strong programming skills in a scientific computing language such as Python, SQL
- Experience using frameworks for machine learning and data science like scikit-learn, pandas, NumPy
- Experience working with ML tools such as Tensorflow, Keras, and Pytorch
- Ability to take successful, complex research ideas from experimentation to production
- Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
- Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra
Why you will love to work with us -
We have multiple brands, which are among the biggest brands operating on amazon, as our customers. You will be responsible for working with their data and developing models and algorithms to drive lift in tune of hundreds of thousands of dollars.
- Opportunity to work on cutting edge technologies in text and images data like LLMs, OCR, transformer based embeddings models
- Deploy code using the most sophisticated tech stack like AWS, GCP etc.
- You will own projects end to end i.e., from exploration to final production
- You will be empowered to make decisions. It implies more responsibilities but high learning
- Immense opportunities to learn and develop ML based SaaS products for brands and get company-wide recognition
- Forget endless meetings. Get things done and start making an impact from day 1
- Work hard, have amazing fun, create history, build the future of eCommerce
- Start-up environment with a strong culture and values to accelerate your career
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.
Ready to apply?
Apply to CommerceIQAbout Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role Summary
We are looking for a technically strong AI / ML Developer with hands-on expertise in training and fine-tuning Small Language Models (SLMs) and RAG Solutions. The ideal candidate will drive end-to-end AI Solutions — from dataset curation and pre-processing to training, evaluation, and production deployment. You will collaborate closely with product, product engineers, and infrastructure teams to build AI solutions that are efficient, scalable, and business-aligned.
Key Responsibilities
1 Model Design & Training
- Design, train, and fine-tune Small Language Models (SLMs) using frameworks such as PyTorch, TensorFlow, or JAX.
- Conduct experiments with supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and instruction tuning.
- Implement efficient training pipelines leveraging distributed training (DDP, FSDP) across GPU/TPU clusters.
- Perform hyperparameter optimisation, ablation studies, and model selection based on benchmark results.
- Develop and maintain data pipelines for collecting, cleaning, tokenising, and pre-processing large-scale training corpora.
2 Model Evaluation & Quality
- Define and implement evaluation frameworks including perplexity, BLEU, ROUGE, BERTScore, and task-specific benchmarks.
- Conduct red-teaming, bias analysis, and safety evaluations to ensure responsible AI deployment.
- Benchmark models against established baselines (e.g., GPT-2, Phi, Mistral) and track performance over iterations.
- Collaborate with QA teams to build regression suites for model versioning and continuous evaluation.
3 MLOps & Deployment
- Containerise and deploy models using Docker, Kubernetes, and cloud-native ML platforms (AWS SageMaker / GCP Vertex AI / Azure ML).
- Build and maintain model registries, experiment tracking (MLflow, Comet), and reproducible training pipelines.
- Optimise inference performance through quantisation (INT8, INT4), pruning, distillation, and ONNX/TensorRT conversion.
- Monitor model drift, data drift, and performance degradation in production; implement automated retraining triggers.
4 Research & Innovation
- Stay current with state-of-the-art NLP/LLM research; prototype and validate new techniques from published literature.
- Contribute to internal knowledge sharing, technical documentation, and model cards.
- Explore parameter-efficient fine-tuning (PEFT) methods such as LoRA, QLoRA, and Adapter layers.
- Investigate and apply mixture-of-experts (MoE), retrieval-augmented generation (RAG), and agentic workflows as needed.
5 Collaboration & Stakeholder Management
- Work with product managers and domain experts to translate business requirements into model objectives and KPIs.
- Communicate model capabilities, limitations, and trade-offs clearly to both technical and non-technical stakeholders.
- Participate in architecture reviews, sprint planning, and cross-functional design discussions.
Required Qualifications
1 Education
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field.
- Equivalent professional experience with a strong portfolio of delivered AI/ML projects will be considered.
2 Experience
- 4 – 6 years of professional experience in machine learning or NLP engineering.
- Minimum 2 years of direct, hands-on experience in training or fine-tuning language models (LLMs or SLMs).
- Demonstrable experience taking a model from dataset preparation through to production deployment.
3 Technical Skills — Core
- Programming: Python (proficient); familiarity with C++/CUDA a plus.
- Deep Learning Frameworks: PyTorch (primary), TensorFlow or JAX.
- NLP Libraries: Hugging Face Transformers, Datasets, PEFT, TRL, Accelerate.
- Training Infrastructure: Multi-GPU training, FSDP, DeepSpeed ZeRO stages 1–3.
- Data Engineering: Pandas, NumPy, Apache Spark or Dask for large-scale data prep.
- Vector DBs & Retrieval: FAISS, Pinecone, Weaviate, or equivalent.
- Cloud Platforms: AWS, GCP, or Azure — ML-specific services (SageMaker, Vertex AI, etc.).
- Version Control & CI/CD: Git, GitHub/GitLab, MLflow or W&B for experiment tracking.
4 Technical Skills — Nice to Have
- Experience with multimodal models or vision-language models (VLMs).
- Knowledge of model safety, alignment techniques, and responsible AI frameworks.
- Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.
- Contributions to open-source ML projects or publications at NeurIPS, ICML, EMNLP, ACL.
Behavioural Competencies
- Intellectual Curiosity: Keeps up with rapidly evolving AI research and applies learnings pragmatically.
- Problem Solving: Approaches ambiguous problems with structured, data-driven thinking.
- Ownership: Takes full accountability for model quality, timelines, and production reliability.
- Collaboration: Works effectively in cross-functional teams with diverse skill sets.
- Communication: Distils complex technical concepts for diverse audiences.
- Adaptability: Thrives in a fast-paced environment where priorities evolve with research breakthroughs.
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
Senior Machine Learning Engineer
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Senior Machine Learning Engineer
Location: (Bangalore or Noida)
The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data
As a Machine Learning Engineer, you’ll build the intelligence behind the next generation of agentic AI systems that reason over massive, heterogeneous log data. You’ll combine machine learning, prompt engineering, and rigorous evaluation to create autonomous AI agents that help organizations understand and act on their data in real time.
You’ll be part of a small, high-impact team shaping how AI agents understand complex machine data. This is an opportunity to work on cutting-edge LLM infrastructure and contribute to defining best practices in context engineering and AI observability.
Responsibilities
- Design, implement, and optimize agentic AI components, including context engineering, memory management, and prompts.
- Collaborate cross-functionally with product, data, and infrastructure teams to deliver end-to-end AI-powered insights.
- Operate autonomously in a fast-paced, ambiguous environment - defining scope, setting milestones, and driving outcomes.
- Ensure reliability, performance, and observability of deployed agents through rigorous testing and continuous improvement.
- Maintain a strong bias for action—delivering incremental, well-tested improvements that directly enhance customer experience.
Required Qualifications
- B.Tech, M.Tech, or Ph.D. in Computer Science, Data Science, or a related field.
- 4-6 years of hands-on industry experience with demonstrable ownership and delivery.
- Strong understanding of machine learning fundamentals, data pipelines, and model evaluation.
- Proficiency in Python and ML/data libraries (NumPy, pandas, scikit-learn); familiarity with JVM languages is a plus.
- Working knowledge of LLM core concepts, prompt design, and agentic design patterns.
- Strong communication skills and a passion for shaping emerging AI paradigms.
Desired Qualifications
- Prior experience building and deploying AI agents or LLM applications in production.
- Familiarity with modern agentic AI frameworks (e.g., LangGraph, LangChain, CrewAI).
- Experience with ML infrastructure and tooling (PyTorch, MLflow, Airflow, Docker, AWS).
- Exposure to LLM Ops - infrastructure optimization, observability, latency, and cost monitoring.
About Us
Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.
Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.
Ready to apply?
Apply to Sumo LogicRecognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists.
The below role is for our Bengaluru office.
Director – Data Science
Why Join Sigmoid?
- Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions.
- Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo
- Vibrant inclusive culture of mutual respect and fun through both work and play
Roles and Responsibilities:
- Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it.
- Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
- Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights
- Contribute to internal product development initiatives related to data science.
- Drive excellent project management required to deliver complex projects, including effort/time estimation.
- Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy
- Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects
- Manage the team-members, to ensure that the project plan is being adhered to over the course of the project
- Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.
Mandated Skills:
- A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject
- 15+ overall experience with 12+ years of hands-on experience in applied Machine Learning, AI and analytics
- Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP)
- Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc.
- Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas
- Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc.
Desired Skills:
- Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.
- Comfortable with large scale data processing and distributed computing
- Providing required inputs to sales, and pre-sales activities
- A self-starter who can work well with minimal guidance
- Excellent written and verbal communication skills
Note:
By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.
Ready to apply?
Apply to Sigmoid
WHO WE ARE:
Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.
WHO YOU ARE
You are a passionate Python and AI/ML Engineer minimum 4 years of hands-on experience building intelligent systems. You thrive in fast-paced environments, love solving complex problems with data and algorithms, and take pride in delivering AI solutions that create real business impact. You have experience with cutting-edge Generative AI, scalable ML pipelines, and production-grade systems and you're energized by working at the frontier of what AI can do.
WHAT YOU'LL DO
- Design, develop, and deploy machine learning models and Generative AI solutions — including classification, clustering, summarization, search & ranking, and information extraction.
- Own end-to-end ML pipelines — from data ingestion and preprocessing through model training, deployment, and production monitoring.
- Collaborate with cross-functional teams to translate business requirements into AI-driven features — applying NLP, outlier detection, and deep learning techniques where applicable.
- Build robust, scalable, and well-documented Python-based RESTful APIs to expose ML models and AI services in production environments.
- Optimize database interactions and ensure efficient data storage and retrieval for AI applications across SQL and NoSQL systems.
- Stay current with the latest advances in AI/ML — integrating emerging approaches such as RAG pipelines, LLM fine-tuning, and vector search into live products.
WHAT YOU'LL NEED
Python
Strong hands-on proficiency for building, scripting, and deploying AI/ML systems.
NumPy · Pandas · FastAPI · Scikit-learn
Machine Learning
Applied expertise across supervised, unsupervised, and deep learning — classification, clustering, outlier detection.
PyTorch · TensorFlow · XGBoost · DBSCAN
Generative AI (2+ yrs)
Hands-on experience building with LLMs — prompt engineering, RAG pipelines, summarization, and AI-powered features.
LLMs · RAG · Prompt Eng. · Fine-tuning
NLP & Search / Ranking
Processes language and builds relevance engines — NER, embeddings, semantic search, and ranking models.
spaCy · BERT · FAISS · Elasticsearch
API Development
Designs and ships secure, well-documented RESTful APIs exposing ML models as production-ready services.
REST · FastAPI · OAuth2 · Swagger
Databases
Proficient in SQL and NoSQL stores for structured and unstructured data pipelines supporting AI workloads.
PostgreSQL · MongoDB · Vector DBs
GOOD TO HAVE
Cloud Platforms
Deploys and scales AI workloads on AWS, Azure, or GCP.
AWS · Azure
TypeScript / JavaScript
Frontend or full-stack exposure for building ML-powered product interfaces.
TypeScript · React · Node.js
MLOps
Manages the ML lifecycle — tracking, versioning, and pipeline automation.
MLflow · Kubeflow · CI/CD
Containerization & Orchestration
Packages and scales AI services using containers and cluster management.
Docker · Kubernetes
Ready to apply?
Apply to Zinnia
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
We are looking for a highly skilled and motivated Data and Analytics Systems Engineer to join our growing team. The ideal candidate will have a strong background in data engineering and analytics, with hands-on experience in designing, building, and maintaining data pipelines and analytics solutions. You will be responsible for leveraging a variety of technologies, including Google Cloud Platform, Google BigQuery, Tableau, Informatica, Databricks, Python, and Anaplan, to deliver high-quality data products and insights to our business stakeholders to ensure our Data & Analytics systems and operations are effective and efficient.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in a data engineering or analytics system management role.
- Proven experience with Google Cloud Platform (GCP), including Google BigQuery, Cloud Storage, and Cloud Functions.
- Experiences with data visualization tools, preferably Tableau.
- Proficiency in ETL/ELT tools like Informatica, Airflow, Dataproc, and so on.
- Experience with big data technologies such as Databricks and Spark.
- Strong programming skills in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Familiarity with the Anaplan platform is a plus.
- Excellent problem-solving and communication skills.
- Ability to work independently and as part of a team.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.
Key Responsibilities
- Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
- Develop and productionize ML models, taking them from prototype to scalable, live systems.
- Construct and manage the data pipelines required for model training, validation, and inference.
- Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
- Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
- Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
- Optimize applications for speed, scalability, and reliability.
- Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.
Required Qualifications
- Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
- Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
- Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
- Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
- Data manipulation and analysis: Pandas, NumPy.
- Core ML frameworks: scikit-learn.
- Deep learning frameworks: Experience with TensorFlow or PyTorch.
- Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
- Experience with version control (Git) and CI/CD practices.
- Excellent problem-solving skills and the ability to write efficient, production-ready code.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
- Knowledge of large-scale data processing frameworks like Spark or Dask.
What Makes This Role Exciting
This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.
Key Responsibilities
- Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
- Develop and productionize ML models, taking them from prototype to scalable, live systems.
- Construct and manage the data pipelines required for model training, validation, and inference.
- Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
- Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
- Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
- Optimize applications for speed, scalability, and reliability.
- Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.
Required Qualifications
- Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
- Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
- Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
- Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
- Data manipulation and analysis: Pandas, NumPy.
- Core ML frameworks: scikit-learn.
- Deep learning frameworks: Experience with TensorFlow or PyTorch.
- Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
- Experience with version control (Git) and CI/CD practices.
- Excellent problem-solving skills and the ability to write efficient, production-ready code.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
- Knowledge of large-scale data processing frameworks like Spark or Dask.
What Makes This Role Exciting
This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
We are looking for a highly skilled and motivated Data and Analytics Systems Engineer to join our growing team. The ideal candidate will have a strong background in data engineering and analytics, with hands-on experience in designing, building, and maintaining data pipelines and analytics solutions. You will be responsible for leveraging a variety of technologies, including Google Cloud Platform, Google BigQuery, Tableau, Informatica, Databricks, Python, and Anaplan, to deliver high-quality data products and insights to our business stakeholders to ensure our Data & Analytics systems and operations are effective and efficient.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in a data engineering or analytics system management role.
- Proven experience with Google Cloud Platform (GCP), including Google BigQuery, Cloud Storage, and Cloud Functions.
- Experiences with data visualization tools, preferably Tableau.
- Proficiency in ETL/ELT tools like Informatica, Airflow, Dataproc, and so on.
- Experience with big data technologies such as Databricks and Spark.
- Strong programming skills in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Familiarity with the Anaplan platform is a plus.
- Excellent problem-solving and communication skills.
- Ability to work independently and as part of a team.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.
Key Responsibilities
- Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
- Develop and productionize ML models, taking them from prototype to scalable, live systems.
- Construct and manage the data pipelines required for model training, validation, and inference.
- Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
- Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
- Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
- Optimize applications for speed, scalability, and reliability.
- Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.
Required Qualifications
- Expert (10+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
- Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
- Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
- Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
- Data manipulation and analysis: Pandas, NumPy.
- Core ML frameworks: scikit-learn.
- Deep learning frameworks: Experience with TensorFlow or PyTorch.
- Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
- Experience with version control (Git) and CI/CD practices.
- Excellent problem-solving skills and the ability to write efficient, production-ready code.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
- Knowledge of large-scale data processing frameworks like Spark or Dask.
What Makes This Role Exciting
This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to Anaplan
Data Engineer
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Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we’d love to hear from you.
Job Description – Data Engineer
About the Role
We are looking for a candidate who is passionate about building scalable data pipelines, optimizing data workflows, and ensuring high data quality across systems. Candidates should demonstrate strong technical foundations, the ability to work independently, and a willingness to collaborate in a dynamic environment.
Core Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines to support business and analytical needs.
- Work extensively with Databricks, Python, and PySpark to process large datasets.
- Build and manage DAGs using Apache Airflow for workflow orchestration.
- Collaborate with cross-functional teams to understand data requirements and translate them into efficient engineering solutions.
- Develop and optimize complex SQL queries and participate in data modeling activities for relational and cloud data warehouses.
- Work with Amazon S3 for data storage, ingestion, partitioning, and integration within broader data lake and pipeline ecosystems.
- Ensure high standards of data quality, reliability, and performance across all data processes.
- Contribute to documentation, best practices, and continuous improvement initiatives.
Core Technical Requirements
- Python Programming
- Strong experience writing clean, efficient Python code for data manipulation, automation, scripting, and ETL workflows.
- Familiarity with widely used data libraries (e.g., pandas, numpy).
- Databricks
- Hands-on experience with Databricks for distributed data processing.
- Proficiency in PySpark, Delta Lake, notebooks, and building scalable pipelines.
- Orchestration Tools
- Apache Airflow (Required): Ability to design, implement, and maintain complex DAGs for scheduling and orchestrating workflows.
- Argo Workflows (Preferred): Experience with Kubernetes-native orchestration platforms is an added advantage.
- SQL Skills
- Advanced SQL expertise including writing complex queries, query optimization, and working with relational/cloud data warehouses.
- Experience in data modeling and performance tuning.
- Cloud Storage (Amazon S3)
- Practical knowledge of S3 for ingestion, storage, data partitioning, access control, and integration as part of data lake architectures.
Experience Level
2–5 years in Data Engineering or related roles..
Preferred Personal Attributes
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work in a fast-paced, evolving environment.
Ready to apply?
Apply to Definitive Healthcare, India
Senior Data Scientist
Share this job
Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we’d love to hear from you.
Job Description
We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches.
The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage.
Responsibilities
- Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python.
- Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.
- Create data-driven deliverables and visualizations to support customer engagements and business decision-making.
- Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.
- Collaborate with global and cross-functional teams to design and implement optimized data solutions.
- Develop scalable tools such as solution workbenches and automated reporting systems.
- Scope, prioritize, and independently handle client requests with minimal supervision.
- Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.
- Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.
- Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.
Qualifications
Bachelors or Masters degree in computer science, Statistics, Data Science, or a related
quantitative field.
• 3–5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL
and Python.
• Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets
is mandatory.
• Strong programming skills in Python, including data manipulation, wrangling, and analysis using
libraries such as pandas, NumPy, and scikit-learn.
• Advanced proficiency in SQL for working with large, complex relational datasets.
• Comfortable working with large-scale data and able to assess existing processes to identify
opportunities for improvement.
• Sound knowledge of statistics, data modeling, and predictive analytics.
• Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical
findings.
• Strong interpersonal, communication, and presentation skills, with the ability to explain technical
concepts to non-technical stakeholders.
• Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic
environment.
ISMS Responsibilities
- Comply with information security policies and processes
- Report security weaknesses, events or potential events, or other security risks, to the organization
- Execute all tasks related to information security management system as appropriate
Why we love Analytical Wizards, and why you will too!
- Industry leading products
- Work hard, and have fun doing it
- Incredibly fast growth means limitless opportunity
- Flexible and dynamic culture
- Work alongside some of the most talented and dedicated teammates
- A collaborative and friendly culture with very high employee engagement
Ready to apply?
Apply to Definitive Healthcare, India
Senior Data Scientist
Share this job
Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we’d love to hear from you.
Job Description
We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches.
The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage.
Responsibilities
- Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python.
- Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.
- Create data-driven deliverables and visualizations to support customer engagements and business decision-making.
- Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.
- Collaborate with global and cross-functional teams to design and implement optimized data solutions.
- Develop scalable tools such as solution workbenches and automated reporting systems.
- Scope, prioritize, and independently handle client requests with minimal supervision.
- Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.
- Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.
- Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.
Qualifications
Bachelors or Masters degree in computer science, Statistics, Data Science, or a related
quantitative field.
• 3–5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL
and Python.
• Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets
is mandatory.
• Strong programming skills in Python, including data manipulation, wrangling, and analysis using
libraries such as pandas, NumPy, and scikit-learn.
• Advanced proficiency in SQL for working with large, complex relational datasets.
• Comfortable working with large-scale data and able to assess existing processes to identify
opportunities for improvement.
• Sound knowledge of statistics, data modeling, and predictive analytics.
• Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical
findings.
• Strong interpersonal, communication, and presentation skills, with the ability to explain technical
concepts to non-technical stakeholders.
• Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic
environment.
ISMS Responsibilities
- Comply with information security policies and processes
- Report security weaknesses, events or potential events, or other security risks, to the organization
- Execute all tasks related to information security management system as appropriate
Why we love Analytical Wizards, and why you will too!
- Industry leading products
- Work hard, and have fun doing it
- Incredibly fast growth means limitless opportunity
- Flexible and dynamic culture
- Work alongside some of the most talented and dedicated teammates
- A collaborative and friendly culture with very high employee engagement
Ready to apply?
Apply to Definitive Healthcare, India
Senior Data Delivery & Dashboard Executive
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About Inizio Ignite:
Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.
Company Descriptor
Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward.
Role Overview
The Data Delivery & Dashboards Executive role will report into the Dashboard Manager. The Data Delivery & Dashboards Executive will be a key member of the newly formed India-based Data Management & Delivery Hub, supporting quantitative healthcare market research projects across global markets. As a Dashboard Developer Executive, you build and maintain high impact dashboards and data visualizations that transform raw market research data into actionable insights. You’ll collaborate with researchers, analysts, and engineers to ensure data flows seamlessly from collections to visual storytelling. You will also support the team in delivering insightful, user-friendly dashboards through automated tools and off-the-shelf solutions. This is a fantastic opportunity to develop your skills in data management, quality assurance, and data visualisation, while working alongside an experienced team in a dynamic, global environment. Skill Set required
What you'll be doing
Brand Equity tracking support with our in-house platform:
- Maintain the pipeline for the project data process flow (this includes receival of data into in-hosue Tool, through the data processing stage into the storage mart, through the python utilities into required outputs)
- Maintain and update python utilities when required due to changes from the research team
- Manage and rectify when failures occur in the pipeline, liaising with both the data providers, research team and developers on the dashboard
- Manage the storage mart and data warehouse
- Support team with edits in-house platform
Data Quality Checks:
Assist in performing detailed quality control checks on large and complex datasets to ensure accuracy, completeness, and consistency.
Data Transformation & Standardisation:
Support the transformation and standardisation of data files to align with internal data structures, project needs, and client-specific formats.
Dashboard Support & Maintenance:
Assist in the creation, population, and maintenance of dashboards using off-the-shelf tools (e.g., Power BI, Tableau, or similar platforms), ensuring outputs are clear, accurate, and aligned with research objectives.
Data Delivery Management:
Help manage and organise the final delivery of data files and dashboards to internal teams and clients, ensuring timely and error-free execution.
Collaboration Across Teams:
Work closely with internal stakeholders including Development team, Data Processing, Scripting, Project Management and Research teams to ensure smooth handovers and integration of deliverables.
Documentation & Reporting:
Maintain clear documentation of processes, data transformation steps, and QC logs to support transparency, reproducibility, and audit-readiness.
Continuous Learning & Development:
Engage in training opportunities to build knowledge in healthcare data, market research workflows, dashboarding tools, and data handling best practices.
What you'll need
Your skills and experience:
Technical Expertise
- Atleast 5+ years expertise in languages like Python and SQL.
- Mastery in advanced Core Python (generators, decorators, OOP, async programming), architecture design.
- Proficient in libraries like Pandas - Joins, Melting, handling missing values, NumPy, TensorFlow etc.
- Proficient in SQL (PostgreSQL, MySQL).
- Understanding MVC/MVT, microservices, and system design principles.
- Experience in setup of data pipelines is highly desirable.
- Knowledge of high-performance framework (Django, FastAPI, Flask) is a plus.
- Cloud platform expertise (AWS, Azure, GCP), and building ETL/ELT pipelines.
- Experience in version control system.
Ideal candidate should be
- You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
- You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
- You are a collaborative team player who works well with colleagues
- You communicate ideas and issues in an effective, straightforward fashion
- Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data.
- Ability to interpret tabulation specifications and apply them accurately.
- Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
- You are highly motivated and want to seize opportunities to develop new skills and progress your career
Artificial Intelligence
Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
Ready to apply?
Apply to Inizio Ignite | Research Partnership
Senior Machine Learning Engineer
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Want to build the next generation of AI-powered analytics and intelligent agents for observability and security use cases? Passionate about leveraging cutting-edge machine learning, large language models, and GPU-accelerated inference to transform how organizations understand and act on their logs data? Come talk with us!
As a Senior Machine Learning Engineer, you’ll build the intelligence behind the next generation of agentic AI systems that reason over massive, heterogeneous log data. You’ll combine machine learning, prompt engineering, context engineering and rigorous evaluation to create autonomous AI agents that help organizations understand and act on their data in real time.
You’ll be part of a small, high-impact team shaping how AI agents understand complex machine data. This is an opportunity to work on cutting-edge LLM infrastructure and contribute to defining best practices in context engineering and AI observability.
Location: Noida/ Bengaluru (Hybrid)
Responsibilities
- Design, implement, and optimize agentic AI components, including tools, memory management, and prompts.
- Develop and maintain golden datasets by defining sourcing strategies, working with data vendors, and ensuring quality and representativeness at scale.
- Prototype and evaluate novel prompting strategies and reasoning chains for model reliability and interpretability.
- Collaborate cross-functionally with product, data, and infrastructure teams to deliver end-to-end AI-powered insights.
- Operate autonomously in a fast-paced, ambiguous environment - defining scope, setting milestones, and driving outcomes.
- Ensure reliability, performance, and observability of deployed agents through rigorous testing and continuous improvement.
- Maintain a strong bias for action—delivering incremental, well-tested improvements that directly enhance customer experience.
Required Qualifications
- B.Tech, M.Tech, or Ph.D. in Computer Science, Data Science, or a related field.
- 6+ years of hands-on industry experience with demonstrable ownership and delivery.
- Strong understanding of machine learning fundamentals, data pipelines, and model evaluation.
- Proficiency in Python and ML/data libraries (NumPy, pandas, scikit-learn); familiarity with JVM languages is a plus.
- Working knowledge of LLM core concepts, prompt design, and agentic design patterns.
- Experience with distributed systems and dealing with large amounts of data.
- Strong communication skills and a passion for shaping emerging AI paradigms.
Desired Qualifications
- Experience leading a team of engineers.
- Prior experience building and deploying AI agents or LLM applications in production.
- Familiarity with modern agentic AI frameworks (e.g., LangGraph, LangChain, CrewAI).
- Experience with ML infrastructure and tooling (PyTorch, MLflow, Airflow, Docker, AWS).
- Exposure to LLM Ops - infrastructure optimization, observability, latency, and cost monitoring.
About Us
Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.
Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.
Ready to apply?
Apply to Sumo Logic
At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
About the Role
We are seeking a Senior Backend Engineer with a strong foundation in Java, solid Python capabilities, and hands-on experience building Agentic AI applications that integrate with Large Language Models (LLMs). This role blends traditional backend engineering expertise with next-generation AI agentic systems development, requiring not just system design skills, but also creativity in prompt engineering, AI product development and working with data-rich environments.
You will contribute to the design and implementation of intelligent backend services that coordinate LLMs, agents, and data workflows to support enterprise-grade agentic systems.
Key Responsibilities
- Develop robust, scalable Java/Python based backend systems that enable the orchestration of Agentic AI workflows.
- Develop state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection.
- Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
- Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow, with seamless integration into production systems.
- Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models.
- Work closely with various stakeholders to design agent architectures and LLM toolchains (using frameworks like LangGraph, Crew AI, AutoGen, etc.).
- Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents.
- Collaborate with data engineers to ensure clean, efficient, and real-time access to structured and semi-structured data.
- Apply prompt engineering best practices to improve agent behavior, task accuracy, and adaptability.
- Monitor and optimize service performance, reliability, and scalability in production environments.
- Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies.
- Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development.
Required Qualifications
- 5+ years of overall experience in backend engineering, with strong proficiency in Java for scalable, distributed systems.
- 2+ years of experience in developing and deploying machine learning models and AI products in production environments.
- Experience in Agentic AI systems development using tools such as LangGraph, Crew AI, AutoGen, or similar.
- Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools (Spark, Kafka, Airflow).
- Experience integrating or orchestrating LLMs within business workflows or intelligent assistants.
- Solid understanding of prompt engineering techniques (e.g., system messages, chaining, tool invocation prompts).
- Familiarity with data engineering concepts, including pipelines, data models, and ETL workflows.
- Strong grasp of object-oriented design, data structures, and algorithms.
Preferred Qualifications
- Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, RAG pipelines).
- Background in building microservices or backend systems for data-rich AI/ML platforms.
- Experience with vector databases, embedding services, or semantic search integration.
- Knowledge of cloud platforms (AWS, GCP, or Azure), containerization (Docker), and DevOps best practices.
- Experience in developing LLM-powered agents, copilots, or task bots.
What We Offer
- Opportunity to work on cutting-edge backend and AI systems, including agentic automation and LLM innovation.
- A flexible hybrid work model in our Bangalore office.
- Competitive compensation with performance-based rewards.
- A culture that promotes engineering excellence, experimentation, and growth.Access to learning platforms, technical workshops, and industry-leading AI research.
Why Join Reltio?*
- Health & Wellness:
- Comprehensive Group medical insurance including your parents with additional top-up options.
- Accidental Insurance
- Life insurance
- Free online unlimited doctor consultations
- An Employee Assistance Program (EAP)
- Work-Life Balance:
- 36 annual leaves, which includes Sick leaves – 18, Earned Leaves - 18
- 26 weeks of maternity leave, 15 days of paternity leave
- Very unique to Reltio - 01 week of additional off as recharge week every year globally
- Support for home office setup:
- Home office setup allowance.
- Stay Connected, Work Flexibly: Mobile & Internet Reimbursement
- No need to pack a lunch—we’ve got you covered with a free meal.And many more…..
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Ready to apply?
Apply to Reltio
Manager/Senior Manager-Reporting & Analytics (Evergreen Req)
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Business Overview
IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com.
Position Overview
We are looking for a savvy Reporting and Analytics Manager to manage in-progress and upcoming data infrastructure projects. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder using Python and data wrangler who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
Responsibilities
Create and maintain optimal data pipeline architecture, assemble large, complex data setsthat meet functional / non-functional business requirements using Python and SQL / AWS / Snowflakes.
• Identify, design, and implement internal process improvements through: automating manual processes using Python, optimizing data delivery, re-designing infrastructurefor greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading ofdata from a wide variety of data sources using SQL / AWS / Snowflakes technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams toassist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple datacenters and AWS regions.
• Work with data and analytics experts to strive for greater functionality in our data systems.
Experience :- •
6+ years of experience in a Python Scripting and Data specific role, with bachelor’s degree.
• Experience with data processing and cleaning libraries e.g. Pandas, numpy, etc., web scraping/ web crawling for automation of processes, API’s and how they work.
• Debugging code if it fails and find the solution. Should have basic knowledge of SQLserver job activity monitoring and also of Snowflake.
• Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra.
• Experience with most or all of the following cloud services: AWS, Azure, Snowflake, Google
We See You
At IPG Mediabrands, we are unified behind a commitment to fostering a culture of inclusion and belonging. Together, we shine through a set of shared values and behaviors. We take pride in our responsibility to our clients, communities, and to each other. We embrace differences and recognize the unique value that each of us brings to our community.
We encourage you to apply, as unique backgrounds, perspectives, and lived experiences are welcomed.
We See You at IPG Mediabrands.
About IPG Mediabrands
IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com.
Ready to apply?
Apply to Omnicom Media
Data Engineer
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Business Overview
IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com.
Position Summary
We are looking for experienced Data Engineer to manage in-progress and upcoming data infrastructure projects. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder using Python and data wrangler who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
Responsibilities
- Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements using Python and SQL / AWS / Snowflakes.
- Identify, design, and implement internal process improvements through automating manual processes using Python, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL / AWS / Snowflakes technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Work with data and analytics experts to strive for greater functionality in our data systems
Required Skills & Experience
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large, disconnected datasets.
Desired Skills & Experience
- 3+ years of experience in a Python Scripting and Data specific role, with bachelor's degree.
- Experience with data processing and cleaning libraries e.g. Pandas, numpy, etc., web scraping/ web crawling for automation of processes, API’s and how they work.
- Debugging code if it fails and find the solution. Should have basic knowledge of SQL server job activity monitoring and of Snowflake.
- Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra.
- Experience with most or all the following cloud services: AWS, Azure, Snowflake, Google Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
We See You
At IPG Mediabrands, we are unified behind a commitment to fostering a culture of inclusion and belonging. Together, we shine through a set of shared values and behaviors. We take pride in our responsibility to our clients, communities, and to each other. We embrace differences and recognize the unique value that each of us brings to our community.
We encourage you to apply, as unique backgrounds, perspectives, and lived experiences are welcomed.
We See You at IPG Mediabrands.
About IPG Mediabrands
IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com.
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Apply to Omnicom Media
Software Engineer I - AI and ML
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WHO WE ARE:
Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.
WHO YOU ARE
You are a passionate Python and AI/ML Engineer minimum 4 years of hands-on experience building intelligent systems. You thrive in fast-paced environments, love solving complex problems with data and algorithms, and take pride in delivering AI solutions that create real business impact. You have experience with cutting-edge Generative AI, scalable ML pipelines, and production-grade systems and you're energized by working at the frontier of what AI can do.
WHAT YOU'LL DO
- Design, develop, and deploy machine learning models and Generative AI solutions — including classification, clustering, summarization, search & ranking, and information extraction.
- Own end-to-end ML pipelines — from data ingestion and preprocessing through model training, deployment, and production monitoring.
- Collaborate with cross-functional teams to translate business requirements into AI-driven features — applying NLP, outlier detection, and deep learning techniques where applicable.
- Build robust, scalable, and well-documented Python-based RESTful APIs to expose ML models and AI services in production environments.
- Optimize database interactions and ensure efficient data storage and retrieval for AI applications across SQL and NoSQL systems.
- Stay current with the latest advances in AI/ML — integrating emerging approaches such as RAG pipelines, LLM fine-tuning, and vector search into live products.
WHAT YOU'LL NEED
Python
Strong hands-on proficiency for building, scripting, and deploying AI/ML systems.
NumPy · Pandas · FastAPI · Scikit-learn
Machine Learning
Applied expertise across supervised, unsupervised, and deep learning — classification, clustering, outlier detection.
PyTorch · TensorFlow · XGBoost · DBSCAN
Generative AI (2+ yrs)
Hands-on experience building with LLMs — prompt engineering, RAG pipelines, summarization, and AI-powered features.
LLMs · RAG · Prompt Eng. · Fine-tuning
NLP & Search / Ranking
Processes language and builds relevance engines — NER, embeddings, semantic search, and ranking models.
spaCy · BERT · FAISS · Elasticsearch
API Development
Designs and ships secure, well-documented RESTful APIs exposing ML models as production-ready services.
REST · FastAPI · OAuth2 · Swagger
Databases
Proficient in SQL and NoSQL stores for structured and unstructured data pipelines supporting AI workloads.
PostgreSQL · MongoDB · Vector DBs
GOOD TO HAVE
Cloud Platforms
Deploys and scales AI workloads on AWS, Azure, or GCP.
AWS · Azure
TypeScript / JavaScript
Frontend or full-stack exposure for building ML-powered product interfaces.
TypeScript · React · Node.js
MLOps
Manages the ML lifecycle — tracking, versioning, and pipeline automation.
MLflow · Kubeflow · CI/CD
Containerization & Orchestration
Packages and scales AI services using containers and cluster management.
Docker · Kubernetes
Ready to apply?
Apply to Zinnia - Employee Referral
At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Senior AI SDET (AI Engineering & Quality)
Location: Bengaluru, India – Hybrid
About Reltio
Reltio's AI-powered data unification and management platform—spanning entity resolution, multi-domain master data management (MDM), and data products—transforms siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands across industries rely on our award-winning, cloud-native MDM capabilities to improve efficiency, manage risk, and drive growth.
At Reltio, our values guide everything we do: Customer First, Better Together, Simplify and Share, Own It, and Always Better Than Yesterday. If you share these values, we invite you to join us.
Role Overview
We are looking for a powerhouse engineer who bridges AI development and automated validation. This is a builder-tester role — you will own the full lifecycle of AI features: from writing core Python logic for agentic workflows and tuning prompts, to architecting robust evaluation frameworks that ensure those systems are enterprise-ready.
Core Responsibilities
- AI Development & Engineering
- Agentic Implementation: Design and implement autonomous agents using frameworks such as LangGraph, CrewAI, or AutoGen.
- Prompt Engineering: Own the prompt lifecycle — design, version, and tune system prompts to minimize hallucinations and maximize intent recognition.
- RAG Pipeline Development: Build and optimize Retrieval-Augmented Generation (RAG) components, including document ingestion, chunking strategies, and vector database indexing.
- Feature Prototyping: Rapidly prototype AI-driven features in Python to validate feasibility before full-scale integration.
- Data Curation: Build golden datasets and synthetic data generation scripts to train and evaluate models.
- Advanced Validation & Quality Architecture
- Automated Evaluation (Eval-as-Code): Build automated pipelines to measure LLM performance across metrics such as faithfulness, relevancy, and toxicity.
- Non-Deterministic Testing: Develop strategies to test "fuzzy" outputs using LLM-assisted evaluation (using one LLM to grade another).
- Hybrid Framework Development: Design and maintain a dual-stack automation framework covering both backend/infrastructure and AI/ML validation.
- End-to-End Orchestration: Integrate AI tests into the MLOps pipeline so that every model deployment or prompt change triggers a full regression of the agent's reasoning capabilities.
- Mentorship & Standards: Serve as the team's subject matter expert, defining standards for writing inherently testable AI code.
Required Skills
AI & Data Science
- Python: Strong proficiency with Pandas, NumPy, LangChain, and LlamaIndex.
- LLMs: Hands-on experience with OpenAI, Anthropic, or open-source models (Mistral, Llama); solid understanding of temperature, top-p sampling, and tokenization.
- Vector Databases: Experience with Pinecone, Milvus, or Weaviate.
- AI Evals & Observability: Practical experience building LLM-judge evaluation pipelines.
Software Engineering & QA
- Production-Grade Code: Ability to write and review complex automation suites for distributed systems.
- Architecture: Familiarity with microservices, async processing (Kafka/RabbitMQ), and RESTful APIs.
- Performance Testing: Experience with JMeter or Locust to benchmark LLM inference latency and streaming responses.
What You Bring
- 5+ years of experience as an SDET, QA Automation Engineer, or AI Engineer.
- 2+ years of hands-on experience testing AI/ML products.
- Experience integrating AI tools and agents into quality lifecycle management.
- Proven ability to write and review production-quality code.
- Solid background in test case design, test planning, and issue lifecycle management in a continuous deployment environment.
- Experience working in agile environments and testing highly scalable SaaS applications.
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Ready to apply?
Apply to Reltio
At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Senior AI SDET (AI Engineering & Quality)
Location: Bengaluru, India – Hybrid
About Reltio
Reltio's AI-powered data unification and management platform—spanning entity resolution, multi-domain master data management (MDM), and data products—transforms siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands across industries rely on our award-winning, cloud-native MDM capabilities to improve efficiency, manage risk, and drive growth.
At Reltio, our values guide everything we do: Customer First, Better Together, Simplify and Share, Own It, and Always Better Than Yesterday. If you share these values, we invite you to join us.
Role Overview
We are looking for a powerhouse engineer who bridges AI development and automated validation. This is a builder-tester role — you will own the full lifecycle of AI features: from writing core Python logic for agentic workflows and tuning prompts, to architecting robust evaluation frameworks that ensure those systems are enterprise-ready.
Core Responsibilities
- AI Development & Engineering
- Agentic Implementation: Design and implement autonomous agents using frameworks such as LangGraph, CrewAI, or AutoGen.
- Prompt Engineering: Own the prompt lifecycle — design, version, and tune system prompts to minimize hallucinations and maximize intent recognition.
- RAG Pipeline Development: Build and optimize Retrieval-Augmented Generation (RAG) components, including document ingestion, chunking strategies, and vector database indexing.
- Feature Prototyping: Rapidly prototype AI-driven features in Python to validate feasibility before full-scale integration.
- Data Curation: Build golden datasets and synthetic data generation scripts to train and evaluate models.
- Advanced Validation & Quality Architecture
- Automated Evaluation (Eval-as-Code): Build automated pipelines to measure LLM performance across metrics such as faithfulness, relevancy, and toxicity.
- Non-Deterministic Testing: Develop strategies to test "fuzzy" outputs using LLM-assisted evaluation (using one LLM to grade another).
- Hybrid Framework Development: Design and maintain a dual-stack automation framework covering both backend/infrastructure and AI/ML validation.
- End-to-End Orchestration: Integrate AI tests into the MLOps pipeline so that every model deployment or prompt change triggers a full regression of the agent's reasoning capabilities.
- Mentorship & Standards: Serve as the team's subject matter expert, defining standards for writing inherently testable AI code.
Required Skills
AI & Data Science
- Python: Strong proficiency with Pandas, NumPy, LangChain, and LlamaIndex.
- LLMs: Hands-on experience with OpenAI, Anthropic, or open-source models (Mistral, Llama); solid understanding of temperature, top-p sampling, and tokenization.
- Vector Databases: Experience with Pinecone, Milvus, or Weaviate.
- AI Evals & Observability: Practical experience building LLM-judge evaluation pipelines.
Software Engineering & QA
- Production-Grade Code: Ability to write and review complex automation suites for distributed systems.
- Architecture: Familiarity with microservices, async processing (Kafka/RabbitMQ), and RESTful APIs.
- Performance Testing: Experience with JMeter or Locust to benchmark LLM inference latency and streaming responses.
What You Bring
- 5+ years of experience as an SDET, QA Automation Engineer, or AI Engineer.
- 2+ years of hands-on experience testing AI/ML products.
- Experience integrating AI tools and agents into quality lifecycle management.
- Proven ability to write and review production-quality code.
- Solid background in test case design, test planning, and issue lifecycle management in a continuous deployment environment.
- Experience working in agile environments and testing highly scalable SaaS applications.
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Ready to apply?
Apply to Reltio
Senior Data Engineer
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ABOUT THE PYTHON DATA ENGINEER ROLE:
We are looking for a skilled Python Data Engineer to join our team and work on building high-performance applications and scalable data solutions. In this role, you will be responsible for designing, developing, and maintaining robust Python-based applications, optimizing data pipelines, and integrating various APIs and databases.
This is more than just a coding role—it requires strategic thinking, creativity, and a passion for data-driven decision-making to drive results and innovation.
KEY RESPONSIBILITIES:
- Develop, test, and maintain efficient Python applications.
- Write optimized SQL queries and work with relational databases to manage and analyse large datasets.
- Implement and integrate APIs, web scraping techniques, and database queries to extract data from various sources.
- Design, develop, and maintain ETL pipelines for efficient data extraction, transformation, and loading.
- Collaborate with cross-functional teams to understand technical requirements and deliver high-quality solutions.
- Ensure code quality, performance, and scalability through best practices and code reviews.
- Stay updated with the latest advancements in Python, data engineering, and backend development.
REQUIRED QUALIFICATIONS:
- 3–5+ years of expertise in Python is a must have.
- Proficiency in Python frameworks and libraries such as Pandas, NumPy, and Scrapy.
- Experience with Data Visualization tools such as Power BI, Tableau
- Strong understanding of relational databases and SQL.
- Experience working with cloud platforms such as AWS
- Strong problem-solving skills and the ability to work in a collaborative team environment.
- Bachelor / Master degree in Computer Science, Engineering, or a related field.
WHY JOIN US?
- Highly inclusive and collaborative culture built on mutual respect.
- Focus on core values, initiative, leadership, and adaptability.
- Strong emphasis on personal and professional development.
- Flexibility to work remotely and/or hybrid indefinitely.
ABOUT WIN:
Founded in 1993, WIN is a highly innovative proptech company revolutionizing the real estate industry with cutting-edge software platforms and products. With the stability and reputation of a 30-year legacy paired with the curiosity and agility of a start-up, we’ve been recognized as an Entrepreneur 500 company, one of the Fastest Growing Companies, and the Most Innovative Home Services Company.
OUR CULTURE:
Our colleagues are driven by curiosity and tinkering and a desire to make an impact. They enjoy a culture of high energy and collaboration where we listen to each other with empathy, experience personal and professional growth, and celebrate small victories and big accomplishments. Click here to learn more about our company and culture: https://www.linkedin.com/company/winhomeinspection/life
#LI-REMOTE
Ready to apply?
Apply to WIN Home Inspection
Senior Data Engineer
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ABOUT THE PYTHON DATA ENGINEER ROLE:
We are looking for a skilled Python Data Engineer to join our team and work on building high-performance applications and scalable data solutions. In this role, you will be responsible for designing, developing, and maintaining robust Python-based applications, optimizing data pipelines, and integrating various APIs and databases.
This is more than just a coding role—it requires strategic thinking, creativity, and a passion for data-driven decision-making to drive results and innovation.
KEY RESPONSIBILITIES:
- Develop, test, and maintain efficient Python applications.
- Write optimized SQL queries and work with relational databases to manage and analyse large datasets.
- Implement and integrate APIs, web scraping techniques, and database queries to extract data from various sources.
- Design, develop, and maintain ETL pipelines for efficient data extraction, transformation, and loading.
- Collaborate with cross-functional teams to understand technical requirements and deliver high-quality solutions.
- Ensure code quality, performance, and scalability through best practices and code reviews.
- Stay updated with the latest advancements in Python, data engineering, and backend development.
REQUIRED QUALIFICATIONS:
- 3–5+ years of expertise in Python is a must have.
- Proficiency in Python frameworks and libraries such as Pandas, NumPy, and Scrapy.
- Experience with Data Visualization tools such as Power BI, Tableau
- Strong understanding of relational databases and SQL.
- Experience working with cloud platforms such as AWS
- Strong problem-solving skills and the ability to work in a collaborative team environment.
- Bachelor / Master degree in Computer Science, Engineering, or a related field.
WHY JOIN US?
- Highly inclusive and collaborative culture built on mutual respect.
- Focus on core values, initiative, leadership, and adaptability.
- Strong emphasis on personal and professional development.
- Flexibility to work remotely and/or hybrid indefinitely.
ABOUT WIN:
Founded in 1993, WIN is a highly innovative proptech company revolutionizing the real estate industry with cutting-edge software platforms and products. With the stability and reputation of a 30-year legacy paired with the curiosity and agility of a start-up, we’ve been recognized as an Entrepreneur 500 company, one of the Fastest Growing Companies, and the Most Innovative Home Services Company.
OUR CULTURE:
Our colleagues are driven by curiosity and tinkering and a desire to make an impact. They enjoy a culture of high energy and collaboration where we listen to each other with empathy, experience personal and professional growth, and celebrate small victories and big accomplishments. Click here to learn more about our company and culture: https://www.linkedin.com/company/winhomeinspection/life
#LI-REMOTE
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Apply to WIN Home Inspection
Senior Data Engineer
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ABOUT THE PYTHON DATA ENGINEER ROLE:
We are looking for a skilled Python Data Engineer to join our team and work on building high-performance applications and scalable data solutions. In this role, you will be responsible for designing, developing, and maintaining robust Python-based applications, optimizing data pipelines, and integrating various APIs and databases.
This is more than just a coding role—it requires strategic thinking, creativity, and a passion for data-driven decision-making to drive results and innovation.
KEY RESPONSIBILITIES:
- Develop, test, and maintain efficient Python applications.
- Write optimized SQL queries and work with relational databases to manage and analyse large datasets.
- Implement and integrate APIs, web scraping techniques, and database queries to extract data from various sources.
- Design, develop, and maintain ETL pipelines for efficient data extraction, transformation, and loading.
- Collaborate with cross-functional teams to understand technical requirements and deliver high-quality solutions.
- Ensure code quality, performance, and scalability through best practices and code reviews.
- Stay updated with the latest advancements in Python, data engineering, and backend development.
REQUIRED QUALIFICATIONS:
- 3–5+ years of expertise in Python is a must have.
- Proficiency in Python frameworks and libraries such as Pandas, NumPy, and Scrapy.
- Experience with Data Visualization tools such as Power BI, Tableau
- Strong understanding of relational databases and SQL.
- Experience working with cloud platforms such as AWS
- Strong problem-solving skills and the ability to work in a collaborative team environment.
- Bachelor / Master degree in Computer Science, Engineering, or a related field.
WHY JOIN US?
- Highly inclusive and collaborative culture built on mutual respect.
- Focus on core values, initiative, leadership, and adaptability.
- Strong emphasis on personal and professional development.
- Flexibility to work remotely and/or hybrid indefinitely.
ABOUT WIN:
Founded in 1993, WIN is a highly innovative proptech company revolutionizing the real estate industry with cutting-edge software platforms and products. With the stability and reputation of a 30-year legacy paired with the curiosity and agility of a start-up, we’ve been recognized as an Entrepreneur 500 company, one of the Fastest Growing Companies, and the Most Innovative Home Services Company.
OUR CULTURE:
Our colleagues are driven by curiosity and tinkering and a desire to make an impact. They enjoy a culture of high energy and collaboration where we listen to each other with empathy, experience personal and professional growth, and celebrate small victories and big accomplishments. Click here to learn more about our company and culture: https://www.linkedin.com/company/winhomeinspection/life
#LI-REMOTE
Ready to apply?
Apply to WIN Home Inspection
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
Offices: New York | Dallas | San Francisco | Lima | Bengaluru
The below role is for our Bengaluru office.
About the Role:
You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning we would like to talk to you.
Function: Data Science and Analysis → Data Science / Machine Learning
Desired Skills & Competencies:
- Strong learning acumen
- Team Management
- High sense of ownership
- Ability to work in a fast-paced and deadline-driven environment
- Loves technology
- Highly skilled at Data Interpretation
- Problem solver
- Good exposure to machine learning concepts and algorithms
- Must be fluent with any one of Python, R, Java
- Strong in statistical & machine learning concepts
- Knowledge of Python Libraries - SciPy, NumPy, Pandas, I Python, Scikit-learn
- Knowledge of distributed big data processing (PySpark, Jupyter, Linux, AWS)
Responsibilities:
- Hypothesis testing, insights generation, root cause analysis, factor analysis
- Statistical model (predictive & prescriptive) development using various statistical & machine learning techniques/algorithms
- Test/train the model, Improve Model accuracy, Monitor model performance
- Data Extraction from EDW/Big Data Platform, Dataset Preparation (creation of base data, aggregation, transformation), performing EDA
Desired Experience & Education:
- 3 - 5 years of relevant Machine Learning experience.
- B. Tech from Tier-1 college / M.S or M. Tech is preferred in Computer Science, Information Technology, or similar degree.
Note:
By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.
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Senior Machine Learning Engineer, Foundation Models
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Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.
We are embarking on a transformative journey with DriveWell Atlas, a groundbreaking initiative to build a family of novel AIs on telematics data. As a Senior Machine Learning Engineer, Foundation Models on the DriveWell Atlas team, you will help design and develop next-generation AI models that advance CMT’s capabilities in risk assessment, driver engagement, crash detection, and claims processing. This role offers the opportunity to work at the intersection of cutting-edge AI research and real-world telematics applications.
CMT is looking for a collaborative, customer-committed, and creative Senior Machine Learning Engineer, Foundation Models who wants to join us in making roads safer by making drivers better!
Responsibilities:
- Contribute to the design, training, and deployment of novel AI models for telematics applications
- Develop algorithms that model physical phenomena associated with vehicle and human movement
- Explore and implement advanced self-supervised learning methods tailored to multi-modal telematics sensor data
- Fine-tune upstream pretrained models or leverage their embeddings to solve downstream telematics tasks such as crash detection, driver risk scoring, and claims processing
- Build models robust to noise, missing data, and diverse real-world operating conditions
- Collaborate with engineers and product teams to integrate AI models into production systems
- Develop scalable training and inference pipelines using frameworks such as Ray, PyTorch DDP, or Horovod
- Optimize models for efficient deployment across cloud and edge/mobile environments
- Stay current with AI/ML research, applying new techniques to real-world telematics challenges
- Document and present findings, contributing to CMT’s AI/ML knowledge base
- Support junior team members through code reviews, collaboration, and knowledge sharing
- Complete any additional tasks as they arise
Qualifications:
- Bachelor’s degree or equivalent years of experience and/or certification in Artificial Intelligence, Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or a related field
- 4+ years of relevant experience in AI/ML (post-degree)
- Strong hands-on experience developing and training deep learning models, preferably transformers for time-series or multimodal data
- Familiarity with self-supervised learning and representation learning on noisy sensor data
- Proficiency in Python and data science libraries (e.g., Pandas, NumPy, scikit-learn)
- Strong experience with PyTorch (preferred) or TensorFlow for deep learning
- Practical experience with distributed training methods and efficient model training
- Experience with data processing pipelines and ML infrastructure (e.g., Spark, Airflow, Docker, AWS/GCP/Azure)
- Excellent problem-solving skills and ability to translate complex business problems into AI solutions
- Strong communication skills to effectively present technical concepts to diverse audiences
- Product-focused mindset with a track record of delivering impactful ML solutions
Nice to Haves:
- Master’s or PhD preferred
- Experience with model interpretability and explainability techniques (XAI)
- Familiarity with ethical AI principles, bias detection, and mitigation strategies
- Exposure to MLOps practices for managing the ML lifecycle
- Publications or open-source contributions in AI/ML
Compensation and Benefits:
- Fair and competitive salary based on skills and experience
- Equity may be awarded in the form of Restricted Stock Units (RSUs)
- Medical Benefits (Health insurance, Personal accident insurance, Group term life insurance), gratuity, parental leave, sick leave and public holidays
- Employees are eligible for flexible allowances which includes Leave Travel Assistance, Telephone/Mobile Expenses, Professional development expenses, Meals Coupon, Vehicle Reimbursement
- Flexible scheduling and work from home policy depending on role and responsibilities
Additional Perks:
- Feel great working to improve road safety around the world!
- Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
- Extensive education and employee assistance programs
- CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!
Commitment to Diversity and Inclusion:
At CMT, we believe the best ideas come from a mix of backgrounds and perspectives.
We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team.
We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.
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Apply to Cambridge Mobile TelematicsAbout WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
Profile Summary: An aspiring and skilled Data Scientist, eager to apply and grow expertise in algorithms and data analysis. Proficient in leveraging Python, Jupyter, and GCP services to analyse and extract insights from complex datasets. Will support key data science initiatives, collaborating with senior data scientists to develop and optimise solutions that drive business value. Focused on contributing to high-impact projects, while building institutional knowledge.
Key Skills: (Sr Analyst)
- Upto 3 yrs
- Strong programming skills in Python and experience using Jupyter notebooks for data analysis and visualisation.
- Familiarity with GCP services such as BigQuery, Google Cloud Functions and Vertex AI.
- Solid understanding of machine learning techniques and their application in data activation solutions, including supervised and unsupervised learning, classification, and regression models.
- Proficiency in data manipulation and cleaning using libraries like Pandas and NumPy, ensuring high-quality datasets for analysis and modelling.
- Good communication skills, with the ability to articulate findings and support senior team members in presenting insights.
Description:
- Assist in the development and implementation of data science algorithms for various strategic initiatives
- Collaborate with senior data scientists and cross-functional teams to design and execute A/B tests, analysing results to contribute actionable insights and recommendations.
- Utilise Python and Jupyter notebooks to preprocess and analyse large datasets, identifying trends and patterns that inform strategic decision-making.
- Contribute to the optimisation of marketing campaigns and other business processes through data-driven approaches.
- Support the presentation of findings and insights to internal stakeholders, ensuring clarity and impact.
- Engage in ongoing learning and development to enhance data science capabilities and contribute to team growth.
Education:
- Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
Ideal Certifications:
- Python for Data Science (Coursera)
- Google Cloud Machine Learning Engineer (Associate)
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
#LI-GOC
Please read our Privacy Notice for more information on how we process the information you provide.
Ready to apply?
Apply to WPP MediaAbout WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.
WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
For more information, visit wppmedia.com.
About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
Profile Summary: An aspiring and skilled Data Scientist, eager to apply and grow expertise in algorithms and data analysis. Proficient in leveraging Python, Jupyter, and GCP services to analyse and extract insights from complex datasets. Will support key data science initiatives, collaborating with senior data scientists to develop and optimise solutions that drive business value. Focused on contributing to high-impact projects, while building institutional knowledge.
Key Skills: (Sr Analyst)
- Upto 3 yrs
- Strong programming skills in Python and experience using Jupyter notebooks for data analysis and visualisation.
- Familiarity with GCP services such as BigQuery, Google Cloud Functions and Vertex AI.
- Solid understanding of machine learning techniques and their application in data activation solutions, including supervised and unsupervised learning, classification, and regression models.
- Proficiency in data manipulation and cleaning using libraries like Pandas and NumPy, ensuring high-quality datasets for analysis and modelling.
- Good communication skills, with the ability to articulate findings and support senior team members in presenting insights.
Description:
- Assist in the development and implementation of data science algorithms for various strategic initiatives
- Collaborate with senior data scientists and cross-functional teams to design and execute A/B tests, analysing results to contribute actionable insights and recommendations.
- Utilise Python and Jupyter notebooks to preprocess and analyse large datasets, identifying trends and patterns that inform strategic decision-making.
- Contribute to the optimisation of marketing campaigns and other business processes through data-driven approaches.
- Support the presentation of findings and insights to internal stakeholders, ensuring clarity and impact.
- Engage in ongoing learning and development to enhance data science capabilities and contribute to team growth.
Education:
- Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
Ideal Certifications:
- Python for Data Science (Coursera)
- Google Cloud Machine Learning Engineer (Associate)
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
#LI-GOC
Please read our Privacy Notice for more information on how we process the information you provide.
Ready to apply?
Apply to WPP MediaIMC’s Python Development team partners directly with our equity and index options trading desks, blending financial theory, software engineering, data-visualisation, and applied research to convert raw data into trading edge. You’ll operate in a high-calibre, intellectually stimulating environment that leverages cutting-edge technology, proprietary tools, and vast datasets. Working side-by-side with traders and software engineers, you’ll see your work move swiftly from idea to production and directly influence trading performance. Our culture prizes innovation, collaboration, and continuous learning—where creative problem-solving, a strong sense of responsibility, and rigorous diligence drive success.
Your Core Responsibilities:
- Collaborate closely with traders to refine existing strategies and generate new ideas.
- Build, maintain, and enhance research frameworks and data pipelines that enable trading and quantitative research.
- Develop, back-test, and implement discretionary and systematic trading strategies using large, diverse datasets.
- Curate, transform, and present data in clear, accessible formats for traders and researchers.
- Drive end-to-end research cycles — from ideation through production deployment.
Your Skills and Experience:
- Bachelor's in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related discipline.
- 3+ years of professional Python development experience, with strong, production-level coding skills; familiarity with additional languages is a plus.
- Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow).
- Proven ability to handle large datasets, architect and optimise data pipelines, and present data effectively.
- Foundational knowledge of quantitative trading concepts and equity/index options — whether through coursework, projects, internships, or professional work.
- Exposure to web/API frameworks such as FastAPI and React is advantageous.
- Experience with orchestration and containerisation tools like Kubernetes and Docker is a plus.
- Solid grounding in calculus, probability, statistics, and optimisation; familiarity with machine-learning techniques is beneficial.
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
Ready to apply?
Apply to IMC
Staff Machine Learning Engineer
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About AiDASH
AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary VegetationAI™ technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a SatelliteFirst approach to identify and address vegetation and other threats to the grid. With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com.
We are a Series C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others. We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.” We are also proud to be one of the few software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.
Join us in Securing Tomorrow!
The Role
We’re looking for a seasoned Staff Machine Learning Engineer to shape and scale the backbone of our production ML ecosystem. In this role, you will architect high-performing ML systems that power our geospatial intelligence platform, transforming large-scale satellite and aerial imagery into actionable insights. You’ll lead end-to-end ownership—from model deployment and MLOps to infrastructure design—while partnering closely with data science, platform engineering, and product teams to deliver reliable, scalable, and cost-efficient ML solutions. If you thrive at the intersection of deep technical expertise, system design, and cross-functional collaboration, this role is for you.
How you'll make an impact:
ML System Architecture & Production Deployment
- Design, build, and maintain end-to-end ML pipelines for batch processing of satellite and aerial imagery
- Deploy and scale ML models in production on AWS infrastructure, leveraging services like SageMaker, Bedrock,or custom-built solutions
- Implement MLflow for experiment tracking, model versioning, and model registry management
- Architect batch inference systems optimized for throughput and cost-efficiency
- Work with geospatial data formats and coordinate reference systems
- Collaborate with data scientists to transition models from research to production
- Partner with platform engineering to build scalable compute, GPU clusters, and storage layers
ML Operations & Reliability
- Implement comprehensive model monitoring systems to track performance degradation and data drift
- Design and execute canary deployments and A/B testing frameworks for safe model rollouts
- Build active learning pipelines to continuously improve model performance with minimal labeling effort
- Establish model evaluation frameworks and performance benchmarking processesCreate alerting and observability systems for production ML workloads
Technical Leadership
- Mentor ML engineers and data scientists on best practices for production ML
- Drive technical decision-making on ML infrastructure and tooling
- Collaborate with platform and data engineering teams to optimize the ML stack
- Establish engineering standards and contribute to architectural roadmaps
What we’re looking for:
- 5+ years of experience in machine learning engineering with 2+ years in a senior or lead capacity
- Proven track record deploying and maintaining ML systems in production using AWS services (SageMaker,Lambda, ECS/EKS, S3, etc.)
- Strong hands-on experience with tools like MLflow, WandB, or similar for experiment tracking and model management
- Deep expertise in image segmentation and computer vision techniques using frameworks like PyTorch or TensorFlow
- Production experience with ensemble models (xgboost, lightgbm, RF)
ML Operations Expertise
- Experience implementing model monitoring, drift detection, and alerting systems
- Hands-on experience with canary deployments, A/B testing and Shadow deployments for ML models
- Knowledge of active learning strategies and human-in-the-loop ML systems
- Strong understanding of model evaluation metrics, bias detection, and performance analysis
Technical Skills
- Expert-level Python programming with ML libraries (scikit-learn, PyTorch/TensorFlow, NumPy, pandas, etc)
- Experience with distributed batch processing frameworks (Airflow, Step Functions, Argo Workflows, Spark,Dask, Ray or similar)
- Proficiency with AWS ML ecosystem and infrastructure-as-code (Terraform, CloudFormation)
- Hands-on experience with dataset versioning tools such as DVC, LakeFS, Delta Lake, Quilt, or Pachyderm
- Strong software engineering fundamentals: unit/integration testing, CI/CD, version control, observability, designpatterns
- Experience with containerization (Docker, Kubernetes) for model deployment
- Good to have experience with ML Orchestration tools like Kubeflow, Vertex AI, etc
- Nice to have experience with GPUs: scheduling GPU jobs, optimizing GPU performance, memory profiling
We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.
Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/
Ready to apply?
Apply to AiDASH, Inc.
Job Title: GenAI Developer/ Engineer
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Location - Bangalore
Experience - 6 to 10
Skills and Qualifications:
Preferred skills:
Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)
GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel
Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch
Key Responsibilities:
- Develop scalable Python applications focused on GenAI
- Knowledge of Snowflake Cortex is a big plus.
- Learn and apply techniques like document chunking and embeddings
- Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
- Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
- Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
- Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
- Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
- Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
- Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
- Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
- Design and implement scalable RESTful APIs and microservices to expose AI functionalities
- Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
- Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
- Follow coding best practices and contribute to testing and documentation
- Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
- Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
- Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.
Ready to apply?
Apply to CapcoSenior Data Scientist
What You Can Expect from Us:
Here at NomiSo, we work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let’s make your career great!
Position Overview:
We are looking for an experienced Data Scientist with a strong academic background in Data Science and 8+ years of hands-on experience in Data science projects. The ideal candidate should be skilled in developing predictive models, performing data analysis, and applying advanced machine learning and AI techniques to solve complex business problems.
Roles and Responsibilities:
- Analyze large datasets to extract meaningful insights and patterns.
- Develop, implement, and optimize ML/AI models for predictive and prescriptive analytics
- Collaborate with engineering, product, and business teams to define and deliver data-driven solutions.
- Design and build data pipelines and perform data wrangling using Python, R, or SQL.
- Communicate analytical findings through clear data visualizations and storytelling techniques.
- Evaluate model performance and improve accuracy and efficiency.
- Work with cloud platforms (AWS, Azure, or GCP) to deploy and maintain ML/AI models in production.
- Ensure data quality, governance, and compliance with organizational standards.
Must Have Skill
- 8+ years of relevant experience in Data Science Machine Learning / AI projects.
- Proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or R.
- Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn.
- Strong SQL skills and experience with data pipelines (Airflow, Spark, etc.).
- Experience with cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platform.
- Excellent analytical, problem-solving, and communication skills.
Good To Have:
- Experience with Deep Learning, NLP, or Time Series Analysis.
- Exposure to MLOps and CI/CD pipelines for model deployment.
- Certifications or project portfolios in Data Science or Machine Learning
- Experience in prompt engineering, context / RAG engineering, Agentic AI.
Qualification:
- Bachelor’s or Master’s or PhD degree in Data Science, or a related discipline.
Location: Pune / Hyderabad
About Nomiso:
Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management.
Our mission is to Empower and Enhance the lives of our customers, through efficient solutions for their complex business problems.
At Nomiso we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace, thrives on ideas and opportunities. That is a part of our DNA. We’re in pursuit of colleagues who share similar passions, are nimble and thrive when challenged. We offer a positive, stimulating and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged.
We invite you to push your boundaries and join us in fulfilling your career aspirations!
We are an equal opportunity employer and are committed to diversity, equity, and inclusion. We do not discriminate on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected characteristics.
Ready to apply?
Apply to NomisoLead Data Scientist
What You Can Expect from Us:
Here at NomiSo, we work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let’s make your career great!
Position Overview:
We are looking for an experienced Data Scientist with a strong academic background in Data Science and 10+ years of hands-on experience in Data science projects. The ideal candidate should be skilled in developing predictive models, performing data analysis, and applying advanced machine learning and AI techniques to solve complex business problems.
Roles and Responsibilities:
- Analyze large datasets to extract meaningful insights and patterns.
- Develop, implement, and optimize ML/AI models for predictive and prescriptive analytics
- Collaborate with engineering, product, and business teams to define and deliver data-driven solutions.
- Design and build data pipelines and perform data wrangling using Python, R, or SQL.
- Communicate analytical findings through clear data visualizations and storytelling techniques.
- Evaluate model performance and improve accuracy and efficiency.
- Work with cloud platforms (AWS, Azure, or GCP) to deploy and maintain ML/AI models in production.
- Ensure data quality, governance, and compliance with organizational standards.
Must Have Skill
- 10+ years of relevant experience in Data Science Machine Learning / AI projects.
- Proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or R.
- Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn.
- Strong SQL skills and experience with data pipelines (Airflow, Spark, etc.).
- Experience with cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platform.
- Excellent analytical, problem-solving, and communication skills.
Good To Have:
- Experience with Deep Learning, NLP, or Time Series Analysis.
- Exposure to MLOps and CI/CD pipelines for model deployment.
- Certifications or project portfolios in Data Science or Machine Learning
- Experience in prompt engineering, context / RAG engineering, Agentic AI.
Qualification:
- Bachelor’s or Master’s or PhD degree in Data Science, or a related discipline.
Location: Hyderabad
About Nomiso:
Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management.
Our mission is to Empower and Enhance the lives of our customers, through efficient solutions for their complex business problems.
At Nomiso we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace, thrives on ideas and opportunities. That is a part of our DNA. We’re in pursuit of colleagues who share similar passions, are nimble and thrive when challenged. We offer a positive, stimulating and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged.
We invite you to push your boundaries and join us in fulfilling your career aspirations!
We are an equal opportunity employer and are committed to diversity, equity, and inclusion. We do not discriminate on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected characteristics.
Ready to apply?
Apply to NomisoSenior Data Scientist
What You Can Expect from Us:
Here at NomiSo, we work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let’s make your career great!
Position Overview:
We are looking for an experienced Data Scientist with a strong academic background in Data Science and 8+ years of hands-on experience in Data science projects. The ideal candidate should be skilled in developing predictive models, performing data analysis, and applying advanced machine learning and AI techniques to solve complex business problems.
Roles and Responsibilities:
- Analyze large datasets to extract meaningful insights and patterns.
- Develop, implement, and optimize ML/AI models for predictive and prescriptive analytics
- Collaborate with engineering, product, and business teams to define and deliver data-driven solutions.
- Design and build data pipelines and perform data wrangling using Python, R, or SQL.
- Communicate analytical findings through clear data visualizations and storytelling techniques.
- Evaluate model performance and improve accuracy and efficiency.
- Work with cloud platforms (AWS, Azure, or GCP) to deploy and maintain ML/AI models in production.
- Ensure data quality, governance, and compliance with organizational standards.
Must Have Skill
- 8+ years of relevant experience in Data Science Machine Learning / AI projects.
- Proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or R.
- Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/Seaborn.
- Strong SQL skills and experience with data pipelines (Airflow, Spark, etc.).
- Experience with cloud platforms such as AWS SageMaker, Azure ML, or Google AI Platform.
- Excellent analytical, problem-solving, and communication skills.
Good To Have:
- Experience with Deep Learning, NLP, or Time Series Analysis.
- Exposure to MLOps and CI/CD pipelines for model deployment.
- Certifications or project portfolios in Data Science or Machine Learning
- Experience in prompt engineering, context / RAG engineering, Agentic AI.
Qualification:
- Bachelor’s or Master’s or PhD degree in Data Science, or a related discipline.
Location: Pune / Hyderabad
About Nomiso:
Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management.
Our mission is to Empower and Enhance the lives of our customers, through efficient solutions for their complex business problems.
At Nomiso we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace, thrives on ideas and opportunities. That is a part of our DNA. We’re in pursuit of colleagues who share similar passions, are nimble and thrive when challenged. We offer a positive, stimulating and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged.
We invite you to push your boundaries and join us in fulfilling your career aspirations!
We are an equal opportunity employer and are committed to diversity, equity, and inclusion. We do not discriminate on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected characteristics.
Ready to apply?
Apply to NomisoCurriculum Manager - APM / PM
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Interview Kickstart is a premier career transformation platform turbocharging tech careers through AI upskilling.
Founded in 2014 in Santa Clara by Soham Mehta, ex-Box Engineering Leader, and Ryan Valles, a transformative P&L leader and former CEO with a track record of scaling ventures, Interview Kickstart’s vision is to help every tech professional thrive in today’s fast-evolving tech industry.
With 40+ domain-specific courses—from foundational Machine Learning and Generative AI to Agentic AI, System Design, and DSA—Interview Kickstart equips engineers, PMs, data professionals, and tech leaders to accelerate their careers. Its 600+ instructors—industry practitioners, hiring managers, and senior engineers from FAANG+ companies—bring real-world insight and cutting-edge expertise into every classroom.
Beyond upskilling, Interview Kickstart offers end-to-end career support. Personalized mock interviews, resume and LinkedIn branding, career coaching, salary negotiation guidance, and performance-based job referrals ensure that your AI upskilling translates into real career breakthroughs. Over 25,000 professionals have already advanced their careers through Interview Kickstart.
Recognized by TIME x Statista and GSV 150 as a top EdTech company, Interview Kickstart is the go-to platform for tech professionals looking to future-proof their careers in the age of AI.
Position Overview
We are looking for an innovative and versatile Product Manager/Learning Designer/Curriculum Manager with data science expertise to join our growing education technology team. In this multifaceted role, you will lead curriculum development initiatives for AI and Machine Learning programs, combining instructional design excellence with technical expertise. You'll have complete ownership to create market-leading educational experiences that help students master complex technical skills and achieve tangible learning outcomes in the competitive AI landscape.
Responsibilities:
● Use Machine Learning and Data Science domain and Product Management expertise to work on exciting growth projects.
● Do market research, gap analysis and competitor analysis to identify new areas to launch machine learning and related program curriculums.
● Create product-market fit to understand the industry requirements and develop courses to help students meet high standards.
● Quickly learn complex concepts and ensure the quality of content, instructional design and overall course experience.
● Collaborate with the MAANG+ Machine Learning industry expert to design skill-oriented classes, assessments and interview preparation strategies to enable students to achieve tangible learning outcomes.
● Manage the learning experience by iterating over the curriculum and driving the learning outcomes
Requirements:
● Graduates (B Tech/ BE) from Tier 1 / 2 engineering colleges / Tier 1 companies / startups
● 2-3 years of Product/curriculum management/development experience on ML/AI-related courses or Master's in ML/AI-related domains.
● Intelligent and curious people who enjoy learning about Algorithms, Data Structures, Machine Learning and Data Science topics.
● Familiarity with different ML techniques such as Supervised, Unsupervised, Deep Learning etc., along with a strong understanding of Python & different ML libraries such as Numpy, Pandas, Scikit-learn and more.
● Active participation in competitive programming, hackathons, and coding events is desirable.
● Experience or knowledge of MLOps is preferable.
● Excellent written and verbal communication skills.
What will excite you?
● Complete ownership
● Experiment, fail and learn.
● High pedigree, high calibre team.
● Contribute to every area of our business. Have a real impact on your work
● Top-of-the-line compensation.
Ready to apply?
Apply to Interview Kickstart
Python Data Engineer
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ABOUT THE PYTHON DATA ENGINEER ROLE:
We are looking for a skilled Python Data Engineer to join our team and work on building high-performance applications and scalable data solutions. In this role, you will be responsible for designing, developing, and maintaining robust Python-based applications, optimizing data pipelines, and integrating various APIs and databases.
This is more than just a coding role—it requires strategic thinking, creativity, and a passion for data-driven decision-making to drive results and innovation.
KEY RESPONSIBILITIES:
- Develop, test, and maintain efficient Python applications.
- Design, develop, and maintain ETL pipelines for efficient data extraction, transformation, and loading.
- Implement and integrate APIs, web scraping techniques, and database queries to extract data from various sources.
- Design and implement algorithms for data processing, transformation, and analysis.
- Write optimized SQL queries and work with relational databases to manage and analyse large datasets.
- Collaborate with cross-functional teams to understand technical requirements and deliver high-quality solutions.
- Ensure code quality, performance, and scalability through best practices and code reviews.
- Stay updated with the latest advancements in Python, data engineering, and backend development.
REQUIRED QUALIFICATIONS:
- Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field.
- 3–5+ years of hands-on experience as Data Engineer using Python
- Proficiency in Python frameworks and libraries such as Pandas, NumPy, and Scrapy.
- Experience with Data Visualization tools such as Power BI, Tableau
- Strong understanding of relational databases and SQL.
- Experience working with cloud platforms such as AWS
- Strong problem-solving skills with an analytical mindset.
- Excellent communication skills and the ability to work in a collaborative team environment.
WHY JOIN US?
- Highly inclusive and collaborative culture built on mutual respect.
- Focus on core values, initiative, leadership, and adaptability.
- Strong emphasis on personal and professional development.
- Flexibility to work remotely and/or hybrid indefinitely.
ABOUT WIN:
Founded in 1993, WIN is a highly innovative proptech company revolutionizing the real estate industry with cutting-edge software platforms and products. With the stability and reputation of a 30-year legacy paired with the curiosity and agility of a start-up, we’ve been recognized as an Entrepreneur 500 company, one of the Fastest Growing Companies, and the Most Innovative Home Services Company.
OUR CULTURE:
Our colleagues are driven by curiosity and tinkering and a desire to make an impact. They enjoy a culture of high energy and collaboration where we listen to each other with empathy, experience personal and professional growth, and celebrate small victories and big accomplishments. Click here to learn more about our company and culture: https://www.linkedin.com/company/winhomeinspection/life
#LI-REMOTE
Ready to apply?
Apply to WIN Home Inspection
Data Science & Engineering Lead
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Data Science & Engineering Lead
Lead the charge in AI and data innovation as our Data Science & Engineering Lead. Here, you’ll work hands-on with our talented team to build and deploy high-impact ML models, optimize our data systems, and drive actionable insights. If you’re skilled in advanced AI tools like Databricks, Spark, and Azure, and excited to push boundaries in machine learning and engineering, we want you on our team. Join us for meaningful work, a collaborative culture, and competitive benefits.
In This Role, You Will:
- Design and implement supervised and unsupervised ML models (e.g., OLS, Logistic Regression, Ensemble Methods) to solve real-world business problems.
- Lead model development for advanced architectures in neural networks, such as ANN, CNN, RNN, GAN, Transformers, and RESNet.
- Drive NLP advancements with tools like NLTK and neural-based language models.
- Oversee the development of computer vision models, utilizing OpenCV for real-world applications.
- Lead time-series modeling projects for forecasting and anomaly detection.
- Utilize AI techniques like Retrieval-Augmented Generation (RAG), Chain of Thought (CoT), and Model of Alignment (MOA) to enhance model performance.
- Build and maintain scalable data pipelines for both streaming and batch processing.
- Architect and optimize lakehouse solutions using Delta/Iceberg and bronze-silver-gold architectures.
- Lead the development of ETL processes with tools like Airflow, DBT, and Airbyte to support data flow and transformation.
- Design and optimize database models for OLTP and OLAP systems using Snowflake, SQL Server, PostgreSQL, and MySQL.
- Develop NoSQL solutions, leveraging MongoDB, DynamoDB, and ElasticSearch for unstructured data.
- Lead efforts in building cloud infrastructure, particularly in AWS (preferred) or Azure, using services such as Lambda, API Gateway, Batch processing, Kinesis, and Kafka.
- Oversee MLOps pipelines for robust deployment of ML models in production with platforms like Sagemaker, Databricks, and Azure ML Studio.
- Develop and optimize business intelligence dashboards with tools like Tableau, QuickSight, and PowerBI for actionable insights.
- Implement GPU acceleration and CUDA for model training and optimization.
- Mentor junior team members in cutting-edge AI/ML techniques and best practices.
Skills and Experience We Value:
- Proven expertise in both supervised and unsupervised ML, advanced deep learning, including TensorFlow, PyTorch, and neural network architectures (e.g., CNN, GAN, Transformers).
- Hands-on experience with machine learning libraries and tools such as Scikit-learn, Pandas, and Numpy.
- Proficiency in AI model development using LLM libraries (e.g., Langchain, Huggingface, OpenAI).
- Strong MLOps skills, with experience deploying scalable pipelines in production using tools like Sagemaker, Databricks, and Azure ML Studio.
- Advanced skills in big data frameworks like Apache Spark, Glue, and EMR for distributed model training.
- Expertise in ETL processes and data pipeline development with tools like Airflow, DBT, and Airbyte.
- Strong knowledge in lakehouse architectures (Delta/Iceberg) and experience with data quality frameworks like Great Expectations.
- Proficiency in cloud platforms (AWS preferred or Azure), with a deep understanding of services like IAM, VPC networking, Lambda, API Gateway, Batch, Kinesis, and Kafka.
- Proficiency with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation for automation.
- Advanced skills in GPU acceleration, CUDA, and distributed model training.
- Demonstrated ability to architect and deploy scalable machine learning and data-intensive systems.
- Proficiency in database modeling for OLTP/OLAP systems and expertise with relational and NoSQL databases.
- Strong mentoring skills, with a proven track record of guiding junior team members in AI/ML best practices.
- Bachelor’s degree in a related field (required), with a Master’s or PhD in Data Science or a related field (preferred).
- 7+ years of experience in data science, machine learning, or data engineering.
- AWS or Azure certification (strongly preferred).
- Strong communication and leadership skills with experience working cross-functionally to deliver high-impact data solutions.
About Particle41
Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )
- E - Empowering: Enabling individuals to reach their full potential.
- L - Leadership: Taking initiative and guiding each other toward success.
- I - Innovation: Embracing creativity and new ideas to stay ahead.
- T - Teamwork: Collaborating with empathy to achieve common goals.
- E - Excellence: Striving for the highest quality in everything we do.
We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring.
We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com.
Ready to apply?
Apply to Particle41