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Tier-1 bank, metro Gurgaon, senior AI/ML title attracts many qualified applicants.
Core ML skills transfer, but financial risk/compliance and banking domain increase specificity.
Explicit 10+ years, LLM and RAG expertise, Python and SQL make filters very strict.
Design, develop, and deploy end-to-end solutions leveraging Large Language Models (LLMs) with focus on Retrieval-Augmented Generation (RAG) systems.
Apply Agentic AI principles to create autonomous intelligent systems solving complex business problems.
Lead prompt engineering and testing frameworks for LLM applications; handle data preparation for traditional and advanced AI/ML solutions.
10+ years relevant hands-on experience in AI, ML, or data science roles.
Strong foundation in classical ML algorithms (e.g., Gradient Boosting, XGBoost, Clustering).
Proven experience building Retrieval-Augmented Generation (RAG) pipelines with Large Language Models.
Bachelor’s degree or equivalent in Computer Science, Statistics, Engineering, Mathematics, or quantitative field.
Experienced in applying modern AI/ML techniques including LLMs to real-world business challenges in financial services.
Capable of working independently on complex AI solutions with strong communication skills for diverse stakeholders.
Comfortable in matrixed environments requiring cross-functional partnerships and compliance focus.