Senior Data Science Engineer
MSCI (company site, opens in a new tab)4–7 yrsPuneOn-siteDirect career pageEst. 22–40 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and operationalize AI and data science applications including machine learning, NLP, GenAI, and LLM-powered capabilities across multiple MSCI business lines.
- Lead production-ready implementation of AI solutions ensuring scalability, reliability, maintainability, and compliance with enterprise and regulatory standards.
- Collaborate cross-functionally with Data, Technology, Product, and Risk teams to integrate AI services, support governance, and maintain AI solution lifecycle including CI/CD and DevOps practices.
Minimum Requirements
- 4–7 years of experience in data science, AI engineering, or applied machine learning roles.
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or related quantitative field.
- Hands-on experience with Python, machine learning, NLP, LLMs, LangChain, LangGraph, RAG, or agentic AI systems.
- Experience deploying AI/ML solutions to production environments and knowledge of software engineering best practices (TDD, refactoring, modular design, version control).
Ideal Candidate Profile
- Strong background in AI engineering focused on GenAI, LLMs, and agentic AI systems with hands-on production delivery experience.
- Experienced in integrating AI capabilities within enterprise platforms and cross-functional collaboration particularly in regulated or financial domains.
- Detail-oriented with expertise in AI governance, compliance, responsible AI practices, and deploying scalable, reliable AI systems using CI/CD and DevOps methodologies.