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Strong Tier-1 employer, metro Bangalore location, and broad GenAI/ML skillset increase candidate competition.
Core LLM, RAG, and cloud ML skills are highly transferable across industries.
Explicit 10+ years overall, 7+ AI experience, and mandatory ML/LLM/cloud skills make filters highly strict.
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Lead design, development, and deployment of advanced GenAI, NLP, and LLM-based solutions to address complex healthcare and business challenges.
Architect and optimize Retrieval-Augmented Generation systems and agentic AI workflows leveraging vector databases and multi-agent frameworks.
Drive scalable data pipelines and optimize model inference including integration with LLM gateways and enterprise GenAI platforms.
Bachelor's degree or higher in computer science or engineering focused on language processing.
7+ years experience in AI, ML, and/or NLP R&D (may be relaxed for PhD holders).
10+ years of overall professional experience.
Proficiency in Python, R, SQL, cloud platforms (Azure, AWS, GCP), and hands-on GPU/repository management skills.
Experienced in leading integration of state-of-the-art transformer models, LLMs (GPT, Claude, Gemini, Anthropic), and prompt engineering in enterprise environments.
Skilled at building robust GenAI systems involving vector search technologies (FAISS, Pinecone, Chroma) and multi-agent AI workflows.
Able to translate cutting-edge AI research into scalable production solutions with emphasis on ethical AI practices.