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Tier-1 brand plus metro hiring and attractive ML role balanced by specialized LLM requirements.
Role requires specialized generative AI and enterprise model governance, making cross-industry fit moderately sensitive.
Explicit 8+ years, 5+ ML years, plus mandatory LLM, frameworks, cloud and MLOps skills increases filter strictness.
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Lead design, development, evaluation, and operationalization of AI/ML solutions including large language models and generative AI at enterprise scale.
Architect and implement advanced generative AI applications including prompt engineering, fine-tuning, embeddings, vector search, and retrieval-augmented generation.
Drive best practices in model governance, Responsible AI compliance, model deployment, and mentor data scientists.
8+ years overall IT experience with 5+ years in machine learning/AI development and 2+ years in generative AI/LLMs.
Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related quantitative field.
Proficiency in Python and ML/AI frameworks like Scikit-learn, PyTorch, TensorFlow, Keras.
Hands-on experience with LLMs, NLP, prompt engineering, embeddings, vector databases, RAG, model lifecycle management, and cloud AI/ML platforms (Azure/AWS).
Experienced in leading end-to-end AI/ML projects and operationalizing models in enterprise environments, including regulated industries.
Strong cross-functional collaborator with a track record in stakeholder management across business, engineering, architecture, and governance teams.
Practitioner of advanced generative AI, knowledge graphs, semantic search, and model governance with the ability to communicate complex concepts clearly to technical and non-technical audiences.