Lead Data Engineer, Applied AI Data Ingestion & Integration
Tasks
- Build RAG evaluation and retrieval pipelines
- Develop production services for AI data workflows
- Ensure data quality, governance, and compliance
- Lead data ingestion and integration pipelines
- Mentor engineers and drive continuous improvement
- Monitor pipeline performance troubleshoot failures and optimize cost and throughput
- Prepare and optimize datasets for machine learning and generative AI
- Translate business needs into data requirements and integration strategies
Perks/Benefits
- Accident insurance
- Health insurance
- Hybrid work
- Life insurance
- Retirement savings plans
- Tuition reimbursement
Skills/Tech-stack
AI Search | Agile | Azure AI | Azure AI Search | Azure Data | Azure Data Factory | CI/CD | Cloud Computing | Data Catalog | Data Factory | Data Governance | Data Lineage | Data Warehousing | Data integration | ELT | ETL | JSON | MLOps | Power BI | Python | REST API | Retrieval-Augmented Generation | SQL | Tableau | Vector Databases | XML
Education
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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