Senior AI Engineer (Pune)

Senior AI Engineer (Pune)

29 Aug
|
Mastercard
|
Pune

29 Aug

Mastercard

Pune

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, straightforward, 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 Engineer
Overview

As a Senior AI Engineer within Mastercard's AI Center of Excellence, you will be responsible for designing, building, deploying, and operating enterprise-grade AI and Agentic AI solutions that drive innovation across Mastercard's products, platforms, and internal business functions. You will partner with data scientists, software engineers, architects, product teams, and business stakeholders to transform AI research and prototypes into secure, scalable, and production-ready solutions





You will be part of a team leading the engineering of AI platforms and applications, establish best practices for MLOps and AgenticOps and ensure AI systems meet Mastercard's standards for reliability, architecture, security, governance, and compliance

Key Responsibilities
- Design, develop, and deploy scalable AI, machine learning and Agentic AI applications for enterprise use cases
- Lead the productionization of AI solutions, transforming PoCs into highly available, resilient, and maintainable production systems
- Build E2E AI pipelines including data ingestion, feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement
- Develop and deploy LLM-powered applications using RAG, AI agents, vector databases, prompt engineering, and model orchestration frameworks
- Design cloud-native AI architectures leveraging containerization, Kubernetes, serverless technologies, and event-driven microservices
- Im

📌 Senior AI Engineer (Pune)
🏢 Mastercard
📍 Pune

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