AI Engineer at Mastercard

MastercardPune, India
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Who can apply

Branches
CSE

About this role

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 AI Engineer Job Description Summary We believe in power of data. We think creatively, design smart, simple to use, cost-effective solutions that empower our customer with actionable insights. The Global Business Services Center (GBSC) Analytics and Automation team is built upon strong contributors with leadership abilities, innovative mindsets and with strong business and technical acumen. The team acts as an idea incubator supporting various GBSC initiatives by providing in-depth analysis and strategic guidance. The team identifies ways to leverage data for answering business questions and driving operational efficiency. We innovate using new age technologies and data analysis techniques to discover actionable insights and communicate data in new and more effective ways for influencing business decisions, encouraging long-term customer engagement, improving processes and productivity, and overall evolving the way we do business. Key Responsibilities: • Design, develop, and implement AI and Generative AI solutions using LLMs, Agentic AI frameworks, RAG architectures, and cloud AI platforms. • Develop and maintain scalable AI/ML pipelines, data preparation workflows, and cloud-native integrations using platforms such as Azure, Databricks, and AWS. • Assist in integrating AI capabilities with APIs, databases, cloud services, and internal applications. • Support deployment, testing, monitoring, and operational maintenance of AI/ML solutions following ML

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