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Senior Manager_MLE

CommerceIQ · Bengaluru, Karnataka, India

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Engineering Bengaluru Posted May 6, 2026

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.

2,200+

Customers

10 of Top 12

CPG Companies

900+

Retailers Connected

$200M+

Raised

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.

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CommerceIQ

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AI/ML Developer

Payoneer · Gurugram, India

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WFM India-Gurgaon Posted May 5, 2026

About 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.

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Payoneer

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Senior Machine Learning Engineer

Sumo Logic · Noida, Uttar Pradesh, India

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Software Engineering India Posted May 5, 2026

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.

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Sumo Logic

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Director Data Science

Sigmoid · Bengaluru, Karnataka, India

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Data Science Sigmoid Posted May 5, 2026

About Sigmoid:

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India.

Recognized 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.

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Sigmoid

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Software Engineer II- AI and ML

Zinnia · Noida, Uttar Pradesh, India

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Technology Noida Posted May 4, 2026

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

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Senior Data & Analytics Systems Engineer

Anaplan · Gurugram, India

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Finance Gurugram - Office Posted Apr 30, 2026

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?

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Anaplan

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Data & Analytics Systems Engineer

Anaplan · Gurugram, India

Apply now

Finance Gurugram - Office Posted Apr 30, 2026

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?

AN

Anaplan

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AN

Principal Software Engineer

Anaplan · Gurugram, India

Apply now

Engineering Gurugram - Office Posted Apr 30, 2026

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!

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?

AN

Anaplan

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Software Engineer

Anaplan · Gurugram, India

Apply now

Engineering Gurugram - Office Posted Apr 30, 2026

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!

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?

AN

Anaplan

View all jobs →

AN

Software Engineer

Anaplan · Gurugram, India

Apply now

Engineering Gurugram - Office Posted Apr 30, 2026

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!

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?

AN

Anaplan

View all jobs →

Data Engineer

Definitive Healthcare, India · Bengaluru, Karnataka, India

Apply now

Product & Engineering Bangalore, India Posted Apr 29, 2026

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

Definitive Healthcare, India

View all jobs →

Senior Data Scientist

Definitive Healthcare, India · Bengaluru, Karnataka, India

Apply now

Commercial Bangalore, India Posted Apr 29, 2026

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

Definitive Healthcare, India

View all jobs →

Senior Data Scientist

Definitive Healthcare, India · Bengaluru, Karnataka, India

Apply now

Product & Engineering Bangalore, India Posted Apr 29, 2026

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

Definitive Healthcare, India

View all jobs →

SU

Senior Machine Learning Engineer

Sumo Logic · Bengaluru, Karnataka, India

Apply now

Software Engineering India Posted Apr 29, 2026

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?

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Sumo Logic

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Senior AI Engineer

Reltio · Bangalore

Apply now

Technology India Posted Apr 28, 2026

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.

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Reltio

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Data Engineer

Omnicom Media · Pune, Maharashtra, India

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Mediabrands - India Pune Posted Apr 24, 2026

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. 

Ready to apply?

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Omnicom Media

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Manager/Senior Manager-Reporting & Analytics (Evergreen Req)

Omnicom Media · Pune, Maharashtra, India

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Mediabrands - India Pune Posted Apr 24, 2026

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?

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Omnicom Media

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Software Engineer I - AI and ML

Zinnia - Employee Referral · Noida, Uttar Pradesh, India

Apply now

Technology Noida Posted Apr 23, 2026

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

Zinnia - Employee Referral

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Senior GenAI Engineer (Python)

Evolver · India

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Engineering India Posted Apr 22, 2026

About Us: 
We are an innovative AI startup focused on transforming professional services through cutting-edge Generative AI and deep domain expertise. Our agent-driven solutions automate complex workflows, engaging humans only when needed to maximize efficiency and accuracy. Join us at the forefront of AI innovation, where your expertise will directly shape the future of professional services.

Role Overview: 
‍We are looking for an experienced Python developer with a passion for Generative AI and hands-on expertise in cloud development. As a Senior GenAI Developer, you will lead the design, development, and deployment of scalable GenAI applications that redefine how professional services are delivered.

Key Responsibilities:

GenAI Development: Build a platform to support enterprise GenAI solutions leveraging large language models (LLMs) and state-of-the-art frameworks.
Cloud Development: Design and implement robust, cloud-native solutions, preferably on Azure.
Full-Stack Contribution: Drive development from concept to deployment, ensuring seamless integration across back-end and front-end components.
Model Optimization: Fine-tune LLMs, enhance data retrieval from structured/unstructured sources, and optimize prompt engineering and agent plans.
Collaboration: Work closely with cross-functional teams, including domain experts and product managers, to deliver solutions aligned with business needs.
Mentorship: Guide and support junior developers to foster technical growth within the team.
Innovation: Stay ahead of emerging trends in AI and GenAI to continuously elevate our technical capabilities.‍

Qualifications:
Experience:

8+ years of professional experience in Python development, including deploying machine learning or Generative AI applications.
4+ years of hands-on experience building and deploying AI/ML solutions in Azure.

Education:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

‍

Technical Skills:

Advanced proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar.
Experience with Cloud development, preferably Azure (e.g., Azure App Service, Azure Functions, Azure Database Services, Azure AI services, and Azure Search).
Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG systems, and agents.
Familiarity with GenAI frameworks like LangChain, Semantic Kernel, or equivalent tools.

Soft Skills:

Excellent english communication and collaboration skills in team-driven environments.
Analytical mindset with a strong focus on problem-solving.
Comfortable working in a fast-paced, dynamic startup culture.
Eagerness to learn and contribute to cutting-edge technologies.

Benefits

Competitive Compensation: Tailored to your experience and skill set.
Flexible Work Arrangements: Remote working model for work-life balance.
Career Growth: Opportunities for professional development and leadership roles.
Innovative Culture: Work on transformative technologies and make an impact in the AI space.

Ready to apply?

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Evolver

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Senior AI SDET

Reltio · Bangalore

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Technology India Posted Apr 22, 2026

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?

Reltio

View all jobs →

Senior AI SDET

Reltio · Bangalore

Apply now

Technology India Posted Apr 22, 2026

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?

Reltio

View all jobs →

Senior Data Engineer

WIN Home Inspection · Greater Delhi Area

Apply now

Data Science India Team Posted Apr 17, 2026

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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WIN Home Inspection

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Senior Data Engineer

WIN Home Inspection · Greater Delhi Area

Apply now

Data Science India Team Posted Apr 17, 2026

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

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Senior Data Engineer

WIN Home Inspection · Greater Delhi Area

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Data Science India Team Posted Apr 17, 2026

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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WIN Home Inspection

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Senior Data Scientist

Sigmoid · Bengaluru, Karnataka, India

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Data Science Sigmoid Posted Mar 31, 2026

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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Full Stack Python Developer

Enboarder · Noida, Uttar Pradesh, India

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Engineering Noida Posted Mar 30, 2026

A Little About Us

Enboarder is the world’s first agentic AI employee journey platform, unifying onboarding, enablement, mobility, and offboarding into a single experience layer.

With AI Assistants and AI Agents working together, Enboarder empowers HR leaders to deliver structured, personalized employee experiences at scale while freeing HR from administrative work. Enterprises like Deloitte, ING, T-Mobile, andCisco use Enboarder accelerate time-to-productivity, reduce attrition, and unlock HR capacity

The result: engaged managers, supported employees, and measurable business impact.

Responsibilities:
○ Design and develop new software applications from scratch
○ Work with developers and other teams across the company to build new features and tools.
○ Add new product features using Python language.
○ Write code which is micro services complaint and can be reused.
○ Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics.
○ Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter.
○ Test and debug code, Monitor and troubleshoot production issues
○ Collaborate with experts in product, design, and operations.
○ Proactive and prompt analysis and identification of functional bugs and performance issues

Requirements:
○ Enjoy being a generalist, working on both the frontend, backend, and everything in between to tackle problems and delight customers.
○ Thinking about tools and services, and writing high quality code.
○ We write code using Python, React and other languages like javascript, typescript, nodejs, shell scripts, AWS cloud services.
○ We use productivity enhancement tools like copilot, cursor etc.
○ Strong knowledge of Databases (either NoSql or RDBMS), DynamoDB and postgres preferred.
○ Strong experience with REST API development, Flask API, and JSON handling.
○ Hands-on experience with Python frameworks or libraries (any of the following is a plus): PySpark, Pandas, NumPy, asyncio, etc.
○ Exposure to ML / GenAI workflows is a strong advantage (model integration, vector DBs, embeddings pipelines, etc.)
○ Unit testing of REST API and server side components on Python
○ Working on CI/CD pipeline.
○ Server caching optimisations using memcache, etc
○ Authentication mechanisms like SAML SSO, MFA, etc
○ If you have worked on Integrations across various systems using APIs or messages that experience will be good to have.
○ Taking pride in working on projects to successful completion, involving a wide variety of technologies and systems.
○ Putting yourself in the shoes of your users, and creating an intuitive, delightful experience.
○ You should have understanding around Security for Web Applications and backend processes. Security is very important for us.
○ Holding yourself and others to a high bar when working with production systems.
○ Stitching many different services and processes together, even if you have not worked with them before.
○ Strong understanding of front-end and back-end technologies
○ Experience working in an agile development environment
○ Knowledge of nodejs is nice-to-have, however not a must.

Experience
○ 4-7 years experience in the IT/Technology industry.
○ 4+ years of experience in Python
○ 3+ years of experience in NoSql / RDBMS, DynamoDB and postgres preferred.
○ 3+ years of experience in working on code version source control tools like Git
○ Experience in sonarqube, use of copilot or similar productivity enhancement tools

Engineering at Enboarder:
○ We work in an environment where it matters to make the right design decisions the first time, and as a result, take on less technical debt.
○ We roll out code to production every 2 weeks.
○ We’re big fans of micro services architecture and are moving a lot of products towards micro services.
○ We like to experiment with new features and do not see failures as bad, but building blocks for future features.
○ We use AWS as our Infrastructure and continually improve. We provide ample opportunities to learn and use new AWS features.
○ Product is a highly collaborative initiative across multiple teams. Engineers are expected to understand and have product input, designing systems towards our long-term product vision.
○ Our customers are fine with fewer features, but are not ok with broken features.
○ People have a strong sense of ownership and accountability for what they’re building.
○ What we build today will be the foundation for other systems in the future.
○ We are very frank on discussing technical matters. If one disagrees with how things are being done, we encourage them to speak up and help us get to the truth faster.

*NOTE:* Hybrid work with 3 days in office.

Interested in Joining the Team?

Great, apply now! Someone from our team will reach out to you about the next steps.

The Enboarder team is made up of people who excel in a wide variety of disciplines. Each member of our team brings their unique perspective and passions to everything we do. We encourage you to apply even if you don’t feel that you meet every single requirement. We’re eager to meet people that believe in our mission and can contribute to our team in a variety of ways—not just candidates who check all the boxes. We want our employees to feel comfortable expressing their true selves and to come, stay, and do their best work with us. We hope you’re feeling excited about the opportunity to join our team!

Creating a safe and inclusive workplace is critical to the success of Enboarder and of our employees. It’s our aim to recruit, hire, and promote without bias against race, color, religion, sex, sexual orientation, gender identity, marital status, veteran status, or any other status protected by applicable law. As we learn and grow we’re committed to ensuring that these ideals are at the forefront of everything we do. All information collected during our application and interview process will be stored in accordance with the Privacy Act 1988 and Australian Privacy Principles.

Please reach out to talent@enboarder.com if you have any questions or concerns.

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Senior Machine Learning Engineer, Foundation Models

Cambridge Mobile Telematics · Chennai, India

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AI & Machine Learning Chennai Posted Mar 30, 2026

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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Senior Analyst- Data Scientist

WPP Media · Gurgaon, India

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Technology & Data Global Operations Center - India Posted Mar 23, 2026

About 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.

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Please read our Privacy Notice for more information on how we process the information you provide.

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Senior Analyst-Data Science

WPP Media · Gurgaon, India

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Technology & Data Global Operations Center - India Posted Mar 18, 2026

About 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.

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Quantitative Python Developer

IMC · Mumbai, India

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Development (Group) Mumbai Posted Mar 12, 2026

IMC’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.

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Staff Machine Learning Engineer

AiDASH, Inc. · Bengaluru, Karnataka, India; Gurugram, Haryana, India

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Engineering India Posted Feb 24, 2026

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.

We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.

Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/

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AI Engineer

Capco · India - Bengaluru; India - Pune

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Tech & Engineering India - Bengaluru Posted Feb 24, 2026

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.

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Senior Data Scientist

Nomiso · Hyderabad, India

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Full Stack NomiSo Office-Hyderabad, India Posted Feb 20, 2026

Senior 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 Nomiso

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Lead Data Scientist

Nomiso · Hyderabad, India

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AIML NomiSo Office-Hyderabad, India Posted Feb 17, 2026

Lead 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 Nomiso

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Nomiso

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NO

Senior Data Scientist

Nomiso · Hyderabad, India

Apply now

Full Stack NomiSo Office-Hyderabad, India Posted Feb 17, 2026

Senior 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 Nomiso

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Nomiso

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IN

Curriculum Manager - APM / PM

Interview Kickstart · Remote

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Product Management (Curriculum) India Posted Jan 29, 2026

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?

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Interview Kickstart

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Lead / Senior Reservoir Engineer (Mandate: US Lower 48 experience)

Stronghold Investment Management · Bangalore, Karnataka, India

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India-Petro Bangalore Posted Jan 7, 2026

About Us

Stronghold Investment Management (“Stronghold,” “SIM,” or “the Firm”) is a technology-driven, vertically integrated investment manager focused on real-assets and related private markets. Stronghold seeks to deliver best-in-class risk-adjusted returns through an investment framework that features comparatively rapid transaction velocity, deep technical expertise, creative financial structuring, and objective and algorithmic decision making.

Stronghold was founded by Ryan Turner in 2016 and has deployed over $1.6 billion in capital across 10+ investment vehicles.

Ultimately, Stronghold intends to apply its technology-intensive investment approach to a variety of specialist real assets verticals, including:

Oil & Gas
Renewables
Specialty Real Estate (commercial, datacenters, marinas)
Telecommunications and Technology Infrastructure
Billboards and Fixtures
Mining & other commodities
Utilities
Secondaries

Job Description:

As part of our global Petro technical team, this role will predominantly focus on the Oil & Gas vertical, providing insights and expertise related to onshore U.S. opportunities. This position offers an exceptional opportunity for individuals looking to build their careers with an international firm and collaborate closely with veterans from top U.S. shale operators.

Responsibilities:

Lead a team of reservoir engineers and analysts, ensuring timely due diligence on all deals evaluated by the firm, and manage other ongoing Petrotech projects.
Conduct reservoir engineering analyses to assess the viability and profitability of oil and gas assets.
Perform production analysis and forecasting across multiple onshore U.S. basins.
Utilize proprietary software tools for production forecasting and performance evaluation.
Deconstruct shale operators’ field development strategies and apply learnings to determine appropriate assumptions for future development plans.
Oversee data organization and maintain internal databases covering geological formations, field development plans, and production forecasts.
Collaborate with the Investments group by advising on cost, pricing, key assumptions and risk assessments.
Interface with multidisciplinary teams including geoscientists, geoinformatics specialists, and finance professionals.

Qualifications:

Minimum of a BE/BTech in Petroleum Engineering; an MS or PhD is a plus, especially if the research aligns with reserves estimation, petroleum economics, or production forecasting.
Minimum of 5 years of hands-on petroleum engineering experience, with a focus on shale and tight-oil reservoir engineering, acquisition & divestment support, and reserves reporting across the US Lower 48.
Proficiency with data visualization tools such as Spotfire.
Demonstrated capability in the theory and application of Decline Curve Analysis.
Familiarity with unconventional reservoirs and completion technologies.
Working knowledge of basic finance concepts.

Ideal Skill Set:

MS or PhD in Petroleum Engineering with a focus on fluid flow in porous media, decline curve analysis, or production forecasting.
Demonstrable expertise in the evaluation and management of shale, tight oil, and tight gas reservoirs.
Experience in drilling operations, well testing, and production optimization.
Strong skills in Python (NumPy, Pandas, scikit-learn) and SQL are a significant plus.
Advanced proficiency in data visualization tools such as Spotfire

Ready to apply?

Apply to Stronghold Investment Management

Stronghold Investment Management

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Petroleum Engineer – Bangalore

Stronghold Investment Management · Bangalore, Karnataka, India

Apply now

India-Petro Bangalore Posted Jan 7, 2026

About Us

Stronghold Investment Management (“Stronghold,” “SIM,” or “the Firm”) is a technology-driven, vertically integrated investment manager focused on real-assets and related private markets. Stronghold seeks to deliver best-in-class risk-adjusted returns through an investment framework that features comparatively rapid transaction velocity, deep technical expertise, creative financial structuring, and objective and algorithmic decision making.

Stronghold was founded by Ryan Turner in 2016 and has deployed over $1.6 billion in capital across 10+ investment vehicles.

Ultimately, Stronghold intends to apply its technology-intensive investment approach to a variety of specialist real assets verticals, including:

Oil & Gas
Renewables
Specialty Real Estate (commercial, datacenters, marinas)
Telecommunications and Technology Infrastructure
Billboards and Fixtures
Mining & other commodities
Utilities
Secondaries

Job Description:

Being part of our global petrotechnical team, this role will predominantly focus on the Oil & Gas vertical, offering insights, and expertise pertaining to the on-shore US territories. The position is an exceptional opportunity for individuals looking to build their career with an international firm and work in close collaboration with veterans from the top US shale operators.

Responsibilities:

Undertake reservoir evaluations and interpretations to assess the viability and profitability of oil and gas extraction.
Perform production analysis and forecasting across multiple onshore U.S. basins.
Utilize proprietary software tools for predictive analyses regarding production levels.
Deconstruct field development strategies of shale operators and use learnings to determine appropriate assumptions for future development plans
Oversee data organization and maintain an internal database of the geological formations, field development plans and production forecasts.
Work with the Investment Team, assisting in cost estimations, production forecasting, and risk assessments.
Interface with multidisciplinary teams including geoscientists, reservoir engineers, and financial experts.

Qualifications:

Minimum of a BS in Petroleum Engineering. MS or PhD is a plus, especially if research topic aligns with the domain of Estimation of Reserves, Petroleum Economics or Production Forecasting.
1-4 years of hands-on experience in Petroleum Engineering, with a focus on reservoir engineering or reserves reporting.
Demonstrated ability in theory and application of Decline Curve Analysis.
Familiarity with upstream Oil & Gas sector processes and technologies.
Familiarty with unconventional reservoirs and completion technologies.
Knowledge of basic finance concepts.
Basic usage of data visualization tools such as Spotfire or Tableau.

Ideal Skill Set:

MS or PhD in Petroleum Engineering with a focus on Fluid Flow in Porous Media, Decline Curve Analysis or Production Forecasting
Demonstrable expertise in the evaluation and management of oil and gas reservoirs.
Experience in drilling operations, well testing, and production optimization.
Skills in Python (Numpy, Pandas, scikit-learn) and SQL are a significant plus.
Proficiency in data visualization tools such as Spotfire or Tableau.
Effective communication and presentation skills, capable of liaising with multidisciplinary teams.

Ready to apply?

Apply to Stronghold Investment Management

Stronghold Investment Management

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Python Data Engineer

WIN Home Inspection · Greater Delhi Area

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Data Science India Team Posted Jun 10, 2025

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?