Our Purpose
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, easy, 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.
Title and Summary
Senior AI Data Engineer
Overview

As a Senior AI Data Engineer within Mastercard's AI Center of Excellence, you will lead the design, development, and optimization of enterprise data platforms and pipelines that enable scalable AI, machine learning, and Generative AI solutions. You will be responsible for building production-grade data infrastructure that supports the complete AI lifecycle, including data ingestion, feature engineering, model training, inference, and continuous improvement

Working closely with AI Engineers, Data Scientists, Platform Engineers,



and Solution Architects, you will deliver secure, reliable, and high-performance data solutions while driving engineering best practices, data governance, and operational excellence across AI initiatives

Key Responsibilities
- Design, build, and maintain scalable, cloud-native data platforms that support enterprise AI and Agentic AI applications
- Lead the development of robust batch and real-time data pipelines for AI model training, feature engineering, inference, and analytics
- Build and optimize data architectures supporting LLMs, RAG, embeddings, vector databases, and AI knowledge repositories
- Develop reusable data products, feature stores, metadata services, and data APIs that accelerate AI solution development across the enterprise
- Ensure high standards of data quality through automated validation, profiling, lineage, observability, and monitoring
- Optimize data processing perfor

📌 Senior AI Data Engineer (Pune)
🏢 Mastercard
📍 Pune