AI Data Engineer
Tasks
- Build data collection frameworks
- Build data products and pipelines
- Classify unstructured content
- Create data tools for analytics and data science
- Create vector and graph assets
- Design data models
- Generate metadata and resolve entities
- Maintain lineage and certification tier
- Prepare data for predictive modeling
- Prepare data for prescriptive modeling
- Prepare retrieval ready semantically annotated data
- Process and store structured and unstructured data
- Review data requirements and improve systems
- Score data quality and gate agent behavior
Perks/Benefits
- N/A
Skills/Tech-stack
AI | Chunking | Data Contracts | Data Engineering | Data Lineage | Data Quality | Embedding | Entity Resolution | Graph Databases | Hybrid retrieval | Metadata generation | Microsoft Fabric | Predictive Modeling | Prescriptive Modeling | RAG | Retrieval-Augmented Generation | Semantic annotation | Snowflake | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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