• Design, fine-tune, and deploy LLMs for natural language understanding, text generation, and summarization tasks. • Optimize existing ML models for performance, cost, and latency. • Build and maintain robust data pipelines for model training and evaluation. • Collaborate with cross-functional teams to integrate AI-driven features into production systems. • Continuously explore new techniques in prompt engineering, retrieval-augmented generation (RAG), and model optimization.