Data / Retrieval Engineer
INR 3200K-4580K (estimate) Senior-level Full Time
Tasks
- Apply metadata filtering document lineage freshness and retention controls
- Build scalable ingestion pipelines for structured semi structured and unstructured data
- Create retrieval evaluation datasets and relevance labels
- Enforce role based attribute based access control in retrieval
- Generate embeddings chunk documents and enrich metadata
- Implement PII and sensitive data security and governance
- Implement reranking grounding and citation generation
- Implement vector retrieval keyword search and hybrid retrieval
- Monitor retrieval quality metrics and citation accuracy
- Optimize retrieval pipelines for scalability availability and observability
- Own data ingestion and retrieval ecosystem for AI agents
- Set up monitoring dashboards alerts and operational runbooks
- Troubleshoot ingestion failures stale indexes and access control leakage
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Access Control | Attribute-Based Access Control | Attribute-based access | Chunking | Citations | Data Governance | Data Lineage | Data Privacy | ELT | ETL | Embedding Models | Grounding | Hybrid search | Keyword search | Learning-to-Rank | Logging | Mean Reciprocal Rank | Metadata Management | Monitoring | NDCG | Observability | Precision at K | Python | Recall at K | Relevance Tuning | Reranking | Role-Based Access | Role-Based Access Control | SQL | Search Relevance | Search relevance tuning | Semantic Search | Tracing | Vector Databases
Education
N/A
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