Senior Software Engineer (Java Full stack , AI, Python, PyTorch , TensorFlow, Hugging Face)

Mastercard — Pune, India

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, 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. Title and Summary Senior Software Engineer (Java Full stack , AI, Python, PyTorch , TensorFlow, Hugging Face) All About Us MasterCard is a technology company in the global payments business. We connect consumers, financial institutions, merchants, governments and businesses worldwide and enable them to use secure and convenient electronic forms of payment. Join the industry’s most passionate, motivated & engaged global team Our employees are encouraged to drive innovation every day in support of a more connected world – A World Beyond Cash. Overview: The MasterCard Business Intelligence application development team is engaged in working with new and innovative technologies to build business solutions that keep MasterCard positioned as a leader in delivering value added business analytic and reporting solutions to our diverse customer base. We work collaboratively with our product partners and other technical teams to continuously improve and enhance our existing products and drive new products to the global marketplace. We are looking for a Senior AI Java Engineer (Hands-on IC) to deliver AI-driven capabilities across our roadmap. This is a builder role: you will write code daily, own critical components end-to-end, and ship production-grade AI-enabled services with strong operability, security, scalability, and resiliency. This role blends Software Engineering (deterministic systems, reliable services) with AI Engineering (probabilistic systems, model lifecycle,

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