AI Data Engineer
Tasks
- Build dataset versioning lineage provenance tracking
- Collaborate with ML researchers and engineers
- Construct evaluation datasets with integrity and contamination controls
- Design AI training data pipelines
- Design storage architectures for cost throughput latency
- Develop high throughput data loading for GPU utilization
- Document data systems schemas and operational procedures
- Enforce data privacy redaction consent throughout pipeline
- Implement data ingestion for text image audio video structured signals
- Implement labeling workflows active learning human in the loop pipelines
- Improve data observability quality drift pipeline health
- Operate AI training and evaluation data systems
- Optimize cost and performance using compression format selection caching
- Perform data cleaning deduplication filtering quality assurance
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Apache Beam | CI/CD | Code review | Data Lineage | Data Modeling | Data Privacy | Data Quality | Data Versioning | Data redaction | Dataset evaluation | Distributed Systems | GPU | Human-in-the-loop | Java | Python | Ray | Scala | Spark | Testing | The Loop
Education
Roles
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