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Tier-1 brand, metro location, broad AI/full-stack requirements drive high candidate competition.
Core ML/LLM skills are transferable, but preferred finance background raises moderate sensitivity.
Extensive mandatory ML/LLM, RAG, vector DB, cloud and full-stack skills imply high shortlisting strictness.
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Develop and deploy AI-powered solutions integrating large language models (LLMs) to improve investment management workflows and insight generation.
Design and implement scalable, production-grade applications and automated workflows for complex investment processes within asset management.
Collaborate cross-functionally and globally to accelerate adoption of generative AI across investment distribution, management, and operations.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related fields; engineering (B.E./B.Tech.) or masters in quantitative disciplines preferred.
Strong software engineering experience with advanced Python programming and expertise in generative AI models, including prompt engineering, fine tuning, and RAG implementation.
Experience with cloud computing (AWS), containerization, version control (Git), CI/CD pipelines, full-stack development (React/JavaScript), and production-grade AI system architecture.
Work Experience Required: Not explicitly mentioned in the JD; role requires full-time availability with in-office presence at least 3 days/week, flexible timings (2:00 PM – 10:30 PM).
Experienced in designing AI systems for financial services, preferably with a background in asset management or investment processes.
Proven ability to translate complex business requirements into scalable technical solutions and communicate effectively with technical and non-technical stakeholders.
Comfortable working in fast-paced, agile, and globally distributed team environments with strong problem-solving and analytical skills.