Design, build, and maintain scalable data and AI platforms, including graph-based infrastructure, to enable document intelligence, multimodal information retrieval, and AI-driven validation pipelines across enterprise environments.
Key Responsibilities
- Design and implement scalable data engineering and AI platforms for enterprise environments.
- Develop and optimize pipelines for document intelligence, multimodal retrieval, and AI-driven validation.
- Build and manage vector database solutions and embedding-based search workflows.
- Architect and maintain graph-based systems using Neo4j and GraphRAG for advanced knowledge representation.
- Ensure robust MLOps practices, including model lifecycle management and data governance.
- Collaborate with cross-functional teams to integrate RAG frameworks and multimodal data sources.
- Automate data orchestration and visualization using Python and Streamlit.
