Data Scientist II at Mastercard in Gurgaon, India
- Company: Mastercard
- Location: Gurgaon, India
- Posted: Sep 21, 2026
- Type: Full-time
- Experience: 4+ years
- Visa sponsorship available
Overview
Build and productionize enterprise-grade AI and Generative AI solutions for Mastercard. This role combines strong software engineering with model fine-tuning, Databricks-based ML engineering, AWS deployment, and end-to-end MLOps.
Job description
- Build and productionize enterprise-grade AI and Generative AI solutions for Mastercard. This role combines strong software engineering with model fine-tuning, Databricks-based ML engineering, AWS deployment, and end-to-end MLOps.
Responsibilities
- Design, develop, test, and maintain scalable AI/ML applications, APIs, and reusable engineering components.
- Fine-tune and evaluate foundation models using techniques such as LoRA, QLoRA, PEFT, and supervised fine-tuning.
- Build RAG solutions, embeddings workflows, vector-search applications, and AI agents.
- Create end-to-end ML pipelines for data preparation, training, evaluation, deployment, monitoring, and retraining.
- Use Databricks, PySpark, MLflow, Unity Catalog, Workflows, Vector Search, and Model Serving for governed model development and operations.
- Implement CI/CD, automated testing, observability, model monitoring, and production support practices.
- Partner with data science, engineering, product, security, privacy, and governance teams to deliver reliable and responsible AI solutions.
Requirements
- 3–4 years of experience in AI/ML engineering, software engineering, data science, or a related field.
- Strong Python, SQL, object-oriented programming, data structures, API development, testing, Git, and software design fundamentals.
- Hands-on experience with Databricks, Spark/PySpark, MLflow, model registries, and production ML workflows.
- Practical AWS experience, including secure cloud architecture, container deployment, monitoring, and access controls.
- Experience with PyTorch, Hugging Face, scikit-learn, FastAPI/Flask, Docker, Kubernetes, and CI/CD.
- Understanding of model performance, latency, scalability, cost optimization, data quality, and responsible AI controls.
- Experience with enterprise GenAI, financial services or payments data, LangChain/LangGraph, and production-grade RAG or agentic AI systems.
Skills
Required
- Python
- SQL
- Databricks
- Spark/PySpark
- MLflow
- PyTorch
- Hugging Face
- scikit-learn
- FastAPI/Flask
- Docker
- Kubernetes
- CI/CD
About Mastercard
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools. Read More