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Senior, specialized LLM role at a well-known financial firm in Bangalore; strong brand but niche skills reduce applicant density.
Technical ML/LLM skills transfer across industries, but regulatory, MRM, and finance domain needs increase fit sensitivity.
Explicit 8+ years, mandatory LLM/MLOps, cloud, governance, and domain experience create strict shortlisting filters.
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Lead end-to-end design, development, evaluation, and operationalization of AI/ML solutions, focusing on large language models (LLMs), generative AI, and advanced analytics at enterprise scale.
Architect and implement advanced generative AI applications including prompt engineering, fine-tuning, embedding, vector search, and retrieval-augmented generation (RAG).
Drive best practices in model evaluation, governance, compliance with Responsible AI, and collaborate closely with cross-functional teams including engineering, architecture, and governance.
Degree in Data Science, Computer Science, Mathematics, Statistics, or related quantitative field (BS, BTech, or Master's).
At least 8 years overall IT experience with 5+ years in machine learning and AI solution development, including 2+ years in generative AI/LLMs.
Proficiency in Python and ML frameworks (Scikit-learn, PyTorch, TensorFlow, Keras).
Experience with LLMs, NLP techniques (prompt engineering, embeddings), vector databases, RAG, and cloud platforms (Azure and/or AWS).
Experienced in delivering enterprise-scale AI/ML solutions with strong technical leadership and mentoring capabilities.
Skilled in integrating AI models into production environments working with engineering, SRE, and platform teams for scalability and reliability.
Familiar with model risk management, Responsible AI, regulatory compliance, and operating in regulated enterprise or financial services environments.