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Tier-1 brand plus metro location but specialized senior skillset limits applicant density.
Core ML/LLM skills transfer across industries, though financial compliance increases domain specificity moderately.
Explicit 7-9 years requirement and mandatory LLM/RAG, Python, SQL skills enforce strict filtering.
Design, develop, and deploy end-to-end AI/ML solutions including building and optimizing Retrieval-Augmented Generation (RAG) systems leveraging Large Language Models (LLMs).
Apply advanced AI techniques including Agentic AI and classical machine learning algorithms to solve complex business problems and generate actionable insights.
Lead prompt engineering, establish testing frameworks for LLM applications, and communicate AI/ML concepts and findings to both technical and non-technical stakeholders.
7-9 years of hands-on experience in AI, machine learning, or data science roles.
Proven experience in developing RAG pipelines and deep understanding of Large Language Models (LLMs).
Proficiency in Python and AI/ML libraries, and ability to work with large datasets using SQL.
Bachelor’s degree or equivalent in quantitative fields like Computer Science, Statistics, Engineering, or Mathematics.
Experienced AI/ML professional with strong skills in classical algorithms and cutting-edge LLM technologies focused on business impact.
Capable of independently designing and deploying complex AI systems, comfortable with both technical implementation and translating insights for business users.
Familiar with building autonomous AI agents, prompt engineering, and maintaining high standards of testing and risk assessment in financial services environment.