NumPy Jobs in Gurugram.
All active NumPy roles based in Gurugram.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
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.
Ready to apply?
Apply to Payoneer
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?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
We are looking for a highly skilled and motivated Data and Analytics Systems Engineer to join our growing team. The ideal candidate will have a strong background in data engineering and analytics, with hands-on experience in designing, building, and maintaining data pipelines and analytics solutions. You will be responsible for leveraging a variety of technologies, including Google Cloud Platform, Google BigQuery, Tableau, Informatica, Databricks, Python, and Anaplan, to deliver high-quality data products and insights to our business stakeholders to ensure our Data & Analytics systems and operations are effective and efficient.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in a data engineering or analytics system management role.
- Proven experience with Google Cloud Platform (GCP), including Google BigQuery, Cloud Storage, and Cloud Functions.
- Experiences with data visualization tools, preferably Tableau.
- Proficiency in ETL/ELT tools like Informatica, Airflow, Dataproc, and so on.
- Experience with big data technologies such as Databricks and Spark.
- Strong programming skills in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Familiarity with the Anaplan platform is a plus.
- Excellent problem-solving and communication skills.
- Ability to work independently and as part of a team.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.
Key Responsibilities
- Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
- Develop and productionize ML models, taking them from prototype to scalable, live systems.
- Construct and manage the data pipelines required for model training, validation, and inference.
- Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
- Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
- Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
- Optimize applications for speed, scalability, and reliability.
- Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.
Required Qualifications
- Expert (10+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
- Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
- Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
- Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
- Data manipulation and analysis: Pandas, NumPy.
- Core ML frameworks: scikit-learn.
- Deep learning frameworks: Experience with TensorFlow or PyTorch.
- Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
- Experience with version control (Git) and CI/CD practices.
- Excellent problem-solving skills and the ability to write efficient, production-ready code.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
- Knowledge of large-scale data processing frameworks like Spark or Dask.
What Makes This Role Exciting
This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
We are looking for a highly skilled and motivated Data and Analytics Systems Engineer to join our growing team. The ideal candidate will have a strong background in data engineering and analytics, with hands-on experience in designing, building, and maintaining data pipelines and analytics solutions. You will be responsible for leveraging a variety of technologies, including Google Cloud Platform, Google BigQuery, Tableau, Informatica, Databricks, Python, and Anaplan, to deliver high-quality data products and insights to our business stakeholders to ensure our Data & Analytics systems and operations are effective and efficient.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in a data engineering or analytics system management role.
- Proven experience with Google Cloud Platform (GCP), including Google BigQuery, Cloud Storage, and Cloud Functions.
- Experiences with data visualization tools, preferably Tableau.
- Proficiency in ETL/ELT tools like Informatica, Airflow, Dataproc, and so on.
- Experience with big data technologies such as Databricks and Spark.
- Strong programming skills in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Familiarity with the Anaplan platform is a plus.
- Excellent problem-solving and communication skills.
- Ability to work independently and as part of a team.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.
Key Responsibilities
- Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
- Develop and productionize ML models, taking them from prototype to scalable, live systems.
- Construct and manage the data pipelines required for model training, validation, and inference.
- Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
- Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
- Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
- Optimize applications for speed, scalability, and reliability.
- Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.
Required Qualifications
- Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
- Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
- Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
- Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
- Data manipulation and analysis: Pandas, NumPy.
- Core ML frameworks: scikit-learn.
- Deep learning frameworks: Experience with TensorFlow or PyTorch.
- Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
- Experience with version control (Git) and CI/CD practices.
- Excellent problem-solving skills and the ability to write efficient, production-ready code.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
- Knowledge of large-scale data processing frameworks like Spark or Dask.
What Makes This Role Exciting
This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to Anaplan
Senior Data Delivery & Dashboard Executive
About Inizio Ignite:
Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.
Company Descriptor
Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward.
Role Overview
The Data Delivery & Dashboards Executive role will report into the Dashboard Manager. The Data Delivery & Dashboards Executive will be a key member of the newly formed India-based Data Management & Delivery Hub, supporting quantitative healthcare market research projects across global markets. As a Dashboard Developer Executive, you build and maintain high impact dashboards and data visualizations that transform raw market research data into actionable insights. You’ll collaborate with researchers, analysts, and engineers to ensure data flows seamlessly from collections to visual storytelling. You will also support the team in delivering insightful, user-friendly dashboards through automated tools and off-the-shelf solutions. This is a fantastic opportunity to develop your skills in data management, quality assurance, and data visualisation, while working alongside an experienced team in a dynamic, global environment. Skill Set required
What you'll be doing
Brand Equity tracking support with our in-house platform:
- Maintain the pipeline for the project data process flow (this includes receival of data into in-hosue Tool, through the data processing stage into the storage mart, through the python utilities into required outputs)
- Maintain and update python utilities when required due to changes from the research team
- Manage and rectify when failures occur in the pipeline, liaising with both the data providers, research team and developers on the dashboard
- Manage the storage mart and data warehouse
- Support team with edits in-house platform
Data Quality Checks:
Assist in performing detailed quality control checks on large and complex datasets to ensure accuracy, completeness, and consistency.
Data Transformation & Standardisation:
Support the transformation and standardisation of data files to align with internal data structures, project needs, and client-specific formats.
Dashboard Support & Maintenance:
Assist in the creation, population, and maintenance of dashboards using off-the-shelf tools (e.g., Power BI, Tableau, or similar platforms), ensuring outputs are clear, accurate, and aligned with research objectives.
Data Delivery Management:
Help manage and organise the final delivery of data files and dashboards to internal teams and clients, ensuring timely and error-free execution.
Collaboration Across Teams:
Work closely with internal stakeholders including Development team, Data Processing, Scripting, Project Management and Research teams to ensure smooth handovers and integration of deliverables.
Documentation & Reporting:
Maintain clear documentation of processes, data transformation steps, and QC logs to support transparency, reproducibility, and audit-readiness.
Continuous Learning & Development:
Engage in training opportunities to build knowledge in healthcare data, market research workflows, dashboarding tools, and data handling best practices.
What you'll need
Your skills and experience:
Technical Expertise
- Atleast 5+ years expertise in languages like Python and SQL.
- Mastery in advanced Core Python (generators, decorators, OOP, async programming), architecture design.
- Proficient in libraries like Pandas - Joins, Melting, handling missing values, NumPy, TensorFlow etc.
- Proficient in SQL (PostgreSQL, MySQL).
- Understanding MVC/MVT, microservices, and system design principles.
- Experience in setup of data pipelines is highly desirable.
- Knowledge of high-performance framework (Django, FastAPI, Flask) is a plus.
- Cloud platform expertise (AWS, Azure, GCP), and building ETL/ELT pipelines.
- Experience in version control system.
Ideal candidate should be
- You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
- You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
- You are a collaborative team player who works well with colleagues
- You communicate ideas and issues in an effective, straightforward fashion
- Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data.
- Ability to interpret tabulation specifications and apply them accurately.
- Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
- You are highly motivated and want to seize opportunities to develop new skills and progress your career
Artificial Intelligence
Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
Ready to apply?
Apply to Inizio Ignite | Research Partnership
Staff Machine Learning Engineer
About AiDASH
AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary VegetationAI™ technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a SatelliteFirst approach to identify and address vegetation and other threats to the grid. With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com.
We are a Series C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others. We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.” We are also proud to be one of the few software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.
Join us in Securing Tomorrow!
The Role
We’re looking for a seasoned Staff Machine Learning Engineer to shape and scale the backbone of our production ML ecosystem. In this role, you will architect high-performing ML systems that power our geospatial intelligence platform, transforming large-scale satellite and aerial imagery into actionable insights. You’ll lead end-to-end ownership—from model deployment and MLOps to infrastructure design—while partnering closely with data science, platform engineering, and product teams to deliver reliable, scalable, and cost-efficient ML solutions. If you thrive at the intersection of deep technical expertise, system design, and cross-functional collaboration, this role is for you.
How you'll make an impact:
ML System Architecture & Production Deployment
- Design, build, and maintain end-to-end ML pipelines for batch processing of satellite and aerial imagery
- Deploy and scale ML models in production on AWS infrastructure, leveraging services like SageMaker, Bedrock,or custom-built solutions
- Implement MLflow for experiment tracking, model versioning, and model registry management
- Architect batch inference systems optimized for throughput and cost-efficiency
- Work with geospatial data formats and coordinate reference systems
- Collaborate with data scientists to transition models from research to production
- Partner with platform engineering to build scalable compute, GPU clusters, and storage layers
ML Operations & Reliability
- Implement comprehensive model monitoring systems to track performance degradation and data drift
- Design and execute canary deployments and A/B testing frameworks for safe model rollouts
- Build active learning pipelines to continuously improve model performance with minimal labeling effort
- Establish model evaluation frameworks and performance benchmarking processesCreate alerting and observability systems for production ML workloads
Technical Leadership
- Mentor ML engineers and data scientists on best practices for production ML
- Drive technical decision-making on ML infrastructure and tooling
- Collaborate with platform and data engineering teams to optimize the ML stack
- Establish engineering standards and contribute to architectural roadmaps
What we’re looking for:
- 5+ years of experience in machine learning engineering with 2+ years in a senior or lead capacity
- Proven track record deploying and maintaining ML systems in production using AWS services (SageMaker,Lambda, ECS/EKS, S3, etc.)
- Strong hands-on experience with tools like MLflow, WandB, or similar for experiment tracking and model management
- Deep expertise in image segmentation and computer vision techniques using frameworks like PyTorch or TensorFlow
- Production experience with ensemble models (xgboost, lightgbm, RF)
ML Operations Expertise
- Experience implementing model monitoring, drift detection, and alerting systems
- Hands-on experience with canary deployments, A/B testing and Shadow deployments for ML models
- Knowledge of active learning strategies and human-in-the-loop ML systems
- Strong understanding of model evaluation metrics, bias detection, and performance analysis
Technical Skills
- Expert-level Python programming with ML libraries (scikit-learn, PyTorch/TensorFlow, NumPy, pandas, etc)
- Experience with distributed batch processing frameworks (Airflow, Step Functions, Argo Workflows, Spark,Dask, Ray or similar)
- Proficiency with AWS ML ecosystem and infrastructure-as-code (Terraform, CloudFormation)
- Hands-on experience with dataset versioning tools such as DVC, LakeFS, Delta Lake, Quilt, or Pachyderm
- Strong software engineering fundamentals: unit/integration testing, CI/CD, version control, observability, designpatterns
- Experience with containerization (Docker, Kubernetes) for model deployment
- Good to have experience with ML Orchestration tools like Kubeflow, Vertex AI, etc
- Nice to have experience with GPUs: scheduling GPU jobs, optimizing GPU performance, memory profiling
We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.
Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/
Ready to apply?
Apply to AiDASH, Inc.