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Strong employer brand but highly specialized senior ML role reduces applicant density to medium.
Advanced ML/AI skills are transferable, but senior banking context and governance needs increase domain specificity to medium.
Mandatory 15+ years and specialized GenAI/LLM/MLOps leadership indicate high shortlisting strictness.
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Lead design and deployment of scalable AI/ML solutions including GenAI systems like RAG pipelines and autonomous agents.
Evaluate, optimize, and integrate large language models (LLMs) such as GPT, LLaMA into business products/platforms.
Provide technical leadership and mentorship to data scientists and engineers, establishing best practices for MLOps, governance, and model lifecycle management.
15+ years of relevant work experience.
Hands-on expertise with GenAI frameworks (e.g., LangChain, LangGraph) and NLP techniques (semantic search, NER, text generation).
Proven experience designing and deploying LLM-based and autonomous AI agent solutions.
Location: Hyderabad, hybrid working; Strong foundation in Statistics, Machine Learning, and Deep Learning.
Experienced leader skilled at end-to-end AI/ML solution delivery for complex business problems.
Strategic in shaping AI/ML approaches with a focus on GenAI and advanced NLP applications.
Capable of mentoring teams while driving innovation within a cross-functional, production-grade AI environment.