Mastercard is Hiring Data Scientist I
AI & Data • Pune, Maharashtra
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Job Overview
Mastercard is hiring a Data Scientist I for its AI & Data team in Pune, India. The role focuses on developing generative AI and machine learning solutions to support Anti-Money Laundering (AML) transaction monitoring and regulatory compliance.
The selected candidate will work with technologies such as large language models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, LangGraph, Python, and cloud platforms. This opportunity is suited to candidates with strong AI/ML expertise who want to build, evaluate, and deploy production-ready AI systems in a financial technology environment.
This opportunity is ideal for candidates searching for:
- Mastercard Data Scientist jobs in Pune
- Generative AI engineer jobs in India
- Machine learning jobs involving LLMs and RAG
- AI/ML jobs in financial services and risk management
Key Responsibilities
- Implement generative AI models and applications for AML transaction monitoring.
- Build solutions using RAG, Model Context Protocol (MCP), tool calling, LangChain, and LangGraph.
- Develop machine learning pipelines for fine-tuning LLMs and other foundation models.
- Implement content-generation systems for text, images, and multimodal outputs.
- Apply computer vision techniques for image analysis, creative generation, and visual search.
- Develop evaluation frameworks for generative AI applications including hallucination detection and bias checks.
- Build observability and monitoring solutions for latency, cost, and model performance.
- Develop scalable AI solutions using AWS, Azure, and Databricks.
- Integrate AI models into production systems with a focus on performance, security, and compliance.
- Promote engineering best practices, innovation, and collaboration.
Skills & Technologies
AI & Machine Learning
Data Engineering & Platforms
Professional Skills
- Strong analytical and problem-solving abilities.
- Ability to work in a fast-paced, high-impact environment.
- Excellent communication and stakeholder collaboration.
- Commitment to engineering best practices and continuous learning.
Eligibility & Preferences
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Education Requirement: Bachelor's or Master's degree in Computer Science or equivalent.
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Experience Required: The job description does not specify a minimum number of years of professional experience. Candidates should review the official listing for any additional eligibility requirements.
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Preferred Qualifications: The JD emphasizes exposure to MLOps, cloud platforms, AI observability, multimodal systems, and production deployment as highly relevant capabilities.
How to Apply
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Visit Mastercard Portal
You will be redirected to the official careers portal. Search for Job ID R-278159 if required.
Submit Application
Ensure your resume highlights your Python, LLMs, RAG, and Machine Learning experience before submitting.
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