• Design, develop, and deploy enterprise‑grade Generative AI solutions.
• Build and optimize RAG architectures, embeddings, chunking strategies, and retrieval mechanisms.
• Own end‑to‑end ML pipelines from document ingestion, processing, serving, monitoring, and optimization.
• Design and implement Azure‑based data processing pipelines including OCR, document intelligence, text extraction, and data transformation.
• Develop and integrate APIs and backend services to support AI‑powered applications.
• Design and optimize relational and NoSQL databases such as Azure SQL and Cosmos DB.
• Deploy, monitor, and maintain ML and GenAI solutions in production environments.
• Collaborate with business and technical stakeholders to deliver scalable AI solutions.
• Ensure solutions meet enterprise requirements for security, scalability, reliability, and performance.

7+ years ...