# Data Scientist I

**Company**: Mastercard
**Location**: Pune, India
**Experience**: entry
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Pune-India/Data-Scientist-I_R-278159?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0efe242a-491

## Description

Mastercard is seeking a Data Scientist I to implement generative AI models and applications for Anti-Money Laundering (AML) transaction monitoring use cases. The successful candidate will work on building advanced solutions leveraging Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), tool calling, and LangChain/LangGraph for dynamic workflows.

Responsibilities:

- Implement generative AI models and applications for AML transaction monitoring use cases.

- Build advanced solutions leveraging RAG, 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 leverage data platforms like Databricks.

- Integrate AI models into production systems with a focus on performance, security, and compliance.

- Stay current with the latest advancements in AI/ML research, particularly in generative AI, and apply them to real-world problems.

- Promote engineering best practices and contribute to a culture of innovation and collaboration.

Requirements:

- Strong knowledge in 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 monitoring in production.

- 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 effectively with technical and non-technical stakeholders.

Education:

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

## Skills

### Required
- Python
- PyTorch
- TensorFlow
- Retrieval-Augmented Generation (RAG)
- Model Context Protocol (MCP)
- LangChain/LangGraph
- Generative AI
- Computer Vision
- Machine Learning

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Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Pune-India/Data-Scientist-I_R-278159?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)