Mastercard Hiring Data Scientist I (Pune) | ₹15 LPA

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, it is helping build a sustainable economy where everyone can prosper. The company supports a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Its technology, innovation, partnerships and networks combine to deliver products and services that help people, businesses and governments realize their greatest potential.

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Its mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, its innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Mastercard's decency quotient, or DQ, drives its culture and everything it does inside and outside the company. With connections across more than 210 countries and territories, it is building a sustainable world that unlocks priceless possibilities for all.

Overview

Global Risk and Compliance contributes to the risk and compliance portfolios of Mastercard. The compliance program works on Transaction Monitoring in areas such as Anti Money Laundering and regulatory compliance requirements. The team is looking to implement an AI based solution to support increased transaction monitoring for AML activities.

If you enjoy solving problems in a challenging environment and want to take your career to the next level, we would love to talk.

Role

• Implement generative AI models and applications for AML transaction monitoring use cases.
• Build advanced solutions using Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), tool calling, and LangChain/LangGraph for dynamic workflows.
• Develop machine learning pipelines for fine-tuning large language models (LLMs) and other foundation models.
• Implement content generation systems for text, image, and multimodal outputs.
• Apply computer vision techniques for image analysis, creative generation, and visual search.
• Implement evaluation frameworks for GenAI applications, including hallucination detection, bias checks, and quality scoring.
• Build observability and monitoring solutions for AI systems, including latency, cost tracking, and model performance metrics.
• Build scalable solutions on cloud platforms (AWS, Azure) and use data platforms such as Databricks.
• Integrate AI models into production systems with a focus on performance, security, and compliance.
• Stay current with AI/ML research, particularly in generative AI, and apply it to real-world problems.
• Promote engineering best practices and contribute to a culture of innovation and collaboration.

All About You

• Strong knowledge of building and deploying generative AI solutions (e.g., LLMs, diffusion models, transformers).
• Expertise in RAG pipelines, MCP-based integrations, tool calling frameworks, and LangChain/LangGraph.
• Proficiency in Python and popular AI/ML frameworks such as PyTorch or TensorFlow.
• Experience with content generation systems (text, image, multimodal) and computer vision models.
• Exposure to evaluation techniques for GenAI (e.g., hallucination detection, factuality scoring, bias evaluation).
• Knowledge of observability tools for AI systems (e.g., monitoring latency, cost, and performance metrics).
• Exposure to MLOps practices, including model versioning, CI/CD for ML, and production monitoring.
• Exposure to cloud platforms (AWS, Azure) and data engineering tools like Databricks.
• Solid understanding of prompt engineering, fine-tuning, and model evaluation techniques.
• Knowledge of API development and integration of AI models into web or mobile applications.
• Strong problem-solving skills and ability to work in a fast-paced, high-impact environment.
• Excellent communication and collaboration skills to work with technical and non-technical stakeholders.

Education

• Bachelor or Master's Degree in Computer Science or equivalent

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks carry an inherent risk to the organization. Every person working for, or on behalf of, Mastercard is therefore responsible for information security and must:

• Abide by Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.