Data & Search Engineer - Immediate joiners
Tasks
- Build document parsing workflows
- Build hybrid search solutions
- Create metadata schemas
- Design ingestion pipelines
- Enrich content with security metadata
- Execute retrieval evaluation frameworks
- Implement document chunking strategies
- Implement tagging classification and entity extraction
- Improve ingestion and indexing using evaluation results
- Integrate vector databases and embeddings
- Maintain indexes for retrieval performance
- Support RAG and agentic AI retrieval foundations
- Tune search relevance and ranking
Perks/Benefits
- N/A
Skills/Tech-stack
AI Document Intelligence | AI Search | Azure AI | Azure AI Document Intelligence | Azure AI Search | Azure Container | Azure Container Apps | Azure Data | Azure Data Factory | Azure Functions | Azure OpenAI | Container Apps | Data Factory | Data masking | Document Intelligence | Embeddings | Full-text search | Graph API | Hybrid search | Keyword search | Langchain | Llamaindex | Microsoft Fabric | Microsoft Graph | Microsoft Graph API | OneDrive | PostgreSQL | Python | Query Expansion | RBAC | Ranking | Reranking | SQL | SQL Server | Semantic Kernel | Semantic Search | SharePoint | Similarity Search | Synapse Analytics | Text search | Vector Database | Vector Search | Vector indexing
Education
N/A
Regions
Countries
States
Cities
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