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Tier-1 brand, metro locations, and early-mid AI role increase applicant competition.
Core ML/AI skills transferable, but investor-facing finance context increases domain specificity.
Explicit 3+ years and mandatory ML/LLM technical skills make shortlisting stringent.
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Design and lead the development of AI-powered research applications for investment workflows, including Generative AI and RAG pipelines.
Collaborate closely with investors to translate research needs into scalable AI-driven product solutions, owning technical vision and user experience.
Manage end-to-end lifecycle of AI applications from proof-of-concept to production, ensuring robustness, monitoring, and data-quality safeguards.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or equivalent.
3+ years of experience delivering ML, AI, and data-intensive systems including hands-on deployment of LLM workflows, prompt engineering, RAG, and backend integration using Python and SQL.
Location requirement: Gurgaon or Mumbai, India.
Strong communication skills with ability to work directly with investors and senior partners.
Experienced technical lead capable of owning AI product design and implementation in investment research contexts.
Demonstrates strong strategic thinking to convert open-ended business questions into AI product concepts aligned with investor objectives.
Comfortable operating in a hybrid work environment with close investor collaboration and cross-functional partnerships.