AI Data Engineer
Tasks
- Build evaluation dataset construction pipelines with integrity controls
- Build high throughput data loading for GPU utilization
- Build ingestion systems for multimodal data
- Collaborate with ML researchers and engineers on data system needs
- Design and operate large scale AI data pipelines
- Design storage architectures across data tiers
- Develop dataset versioning lineage and provenance tracking
- Document data systems schemas and operational procedures
- Drive observability of data quality drift and pipeline health
- Implement data cleaning deduplication filtering and quality assurance
- Implement data privacy redaction and consent enforcement
- Implement labeling workflows active learning and human in the loop pipelines
- Optimize cost and performance with compression format selection and caching
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Apache Beam | CI/CD | Code review | Data Lineage | Data Modeling | Data Privacy | Data Quality | Data redaction | Dataset versioning | Distributed Systems | Human-in-the-loop | Java | Python | Ray | Scala | Spark | Testing | The Loop
Education
Roles
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