AI Engineer at Mastercard Pune | GenAI, Python, Cloud

Our Purpose

Mastercard powers economies and supports people across more than 200 countries and territories. Working with customers and partners, the company aims to build a sustainable economy where individuals and businesses can prosper. Mastercard provides a wide range of digital payment solutions that make transactions secure, simple, intelligent and accessible.

Through technology, partnerships and global networks, Mastercard delivers products and services that help individuals, organizations and governments reach their potential.

Role Overview

The Global Business Services Center (GBSC) Analytics and Automation team focuses on using data to generate insights and improve operational efficiency. The team acts as an innovation hub, supporting GBSC initiatives with deep analysis, data-driven strategies and modern technology solutions. The goal is to uncover actionable insights that influence business decisions, strengthen customer engagement and improve processes.

Key Responsibilities

• Design, build and deploy AI and Generative AI solutions using LLMs, agentic AI frameworks, RAG architectures and cloud AI platforms.
• Create and maintain scalable AI or ML pipelines, data preparation workflows and cloud-native integrations using platforms such as Azure, Databricks and AWS.
• Assist with integrating AI capabilities into APIs, databases, cloud services and internal applications.
• Support deployment, testing, monitoring and ongoing maintenance of AI or ML solutions while following MLOps and LLMOps practices.
• Apply responsible AI practices including bias detection, hallucination reduction, explainability dashboards and safety guardrails while ensuring compliance with data ethics standards.
• Track and explore new developments related to Generative AI, LLMs, agentic AI frameworks and modern cloud technologies.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI/ML or a related technical discipline.
• Hands-on experience developing and deploying AI applications in production environments.
• Experience working with Python, Spark or SQL.
• Basic understanding of LLMs, Generative AI concepts, prompt engineering and AI or ML workflows.
• Exposure to at least one cloud ecosystem such as Azure, AWS, Databricks, Microsoft Fabric or Microsoft Copilot technologies, along with familiarity with container tools like Docker or Kubernetes.
• Familiarity with APIs, data pipelines, ETL processes and cloud-based integrations.
• Exposure to AI or ML frameworks, vector databases or orchestration frameworks such as LangChain is beneficial.
• Understanding of software development lifecycle practices, deployment workflows and version control tools like Git.
• Ability to work with analytical thinking and adapt to rapidly evolving AI technologies.

Corporate Security Responsibility

All work involving access to Mastercard assets, systems or information carries inherent security responsibility. Employees are expected to follow company security policies, protect the confidentiality and integrity of accessed information, report any suspected security incidents, and complete mandatory security training as required.