Lead development of end-to-end NLP and Generative AI solutions including text classification, summarization, RAG systems, conversational AI, and document intelligence. Build and fine-tune transformer-based LLMs, design embeddings and semantic search, deploy models with MLOps (Azure preferred), monitor performance, and collaborate with product and engineering teams.

Lead a data science team to design, build, and deploy ML models and scalable PySpark data pipelines on Azure. Oversee feature engineering, model lifecycle, monitoring, performance tuning, MLOps/CI-CD, and translate business needs into analytical solutions while presenting results to stakeholders.