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Tier-1 brand, mid-level ML role, metro location and broad AI skills create high competition.
Specialized ML/LLM skills are transferable but finance wealth-management context raises sensitivity.
Explicit 4+ years, mandatory ML/LLM and Python/deployment requirements make shortlisting highly strict.
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Own the design and implementation of Data Intelligence use cases, including architecture, pipelines, and build vs. buy decisions.
Develop, evaluate, and refine AI models and large language model (LLM) applications independently, ensuring delivery of strategic priorities.
Collaborate with cross-functional teams including technology, operations, and business to deploy automation and AI solutions in Wealth Management.
4+ years of applied modeling and analytical problem-solving experience with strong quantitative skills.
Proficient in machine learning and Python programming with hands-on experience building and deploying AI agents and/or LLM-based applications.
Bachelor's degree required; advanced degree in a quantitative discipline (math, statistics, economics, engineering) preferred.
Work Experience Required: Minimum 4 years; Notice Period: Not explicitly mentioned in the JD.
Experienced in independently managing AI projects from concept to completion in ambiguous environments.
Familiar with AI product development lifecycle, including defining requirements and stakeholder collaboration.
Capable of designing and running AI evaluations with a focus on benchmarking, quality, accuracy, and safety testing.