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Tier-1 brand and Hyderabad metro increase applicants, but senior specialised GenAI skillset limits the pool.
Requires deep GenAI/LLM and ML leadership experience, so candidate backgrounds are highly domain-sensitive.
Explicit 18+ years requirement and mandatory GenAI/LLM/MLOps expertise enforce strict shortlisting filters.
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Own the design, architecture, and scaling of advanced AI/ML solutions including GenAI-powered systems and autonomous agents across the enterprise.
Lead technical direction and integration of AI capabilities by evaluating and optimizing large language models and frameworks.
Mentor and develop data scientists and ML engineers while establishing best practices for model deployment, monitoring, and governance.
Experience Required: 18+ years in Data Science, AI, or related fields.
Strong expertise in statistics, machine learning, deep learning, and NLP including semantic search, entity recognition, and text generation.
Hands-on experience with GenAI frameworks (e.g., LangChain, LangGraph) and large language models (e.g., GPT, LLaMA) including fine-tuning/customization.
Advanced degree (MSc or PhD) in Computer Science, Data Science, AI/ML, or related field.
Senior technical leader capable of driving enterprise-wide AI/ML strategy and solution delivery in complex environments.
Experienced in designing autonomous AI agents and integrating scalable AI systems into business products and platforms.
Skilled mentor focused on developing high-performing technical teams and fostering innovation within a Center of Excellence setting.