AI Data Engineer
Tasks
- Build high throughput data loading systems for GPU utilization
- Build ingestion systems for text image audio video and structured signals
- Collaborate with ML researchers and engineers on data system needs
- Construct evaluation datasets with integrity and contamination controls
- Design data pipelines for AI training and evaluation
- Design storage architectures balancing cost throughput and latency
- Develop dataset versioning lineage and provenance tracking
- Document data systems schemas and operational procedures
- Drive observability for 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 improvement
- Optimize cost and performance using compression format selection and caching
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Apache Beam | Apache Spark | CI/CD | Code review | Data Lineage | Data Modeling | Data Privacy | Data Quality | Dataset versioning | Distributed Systems | Human-in-the-loop | Java | Python | Ray | Testing | The Loop
Education
Roles
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