Found Description
Key Responsibilities
- 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.
Requirements
7+...