AI Data Infrastructure Engineer
United States - Remote
R
USD 146K-189K (estimate) Mid-level Full Time
Tasks
- Build dataset versioning lineage and provenance tracking
- Build evaluation dataset construction with integrity controls
- Build ingestion systems for multimodal data
- Collaborate with ML teams to align data systems with model needs
- Design data pipelines for AI training and evaluation
- Design storage architectures for cost throughput and latency
- Develop high throughput data loading for GPU utilization
- Document data systems schemas and procedures
- Drive observability of data quality drift and pipeline health
- Implement data cleaning deduplication and filtering
- Implement data privacy redaction and consent enforcement
- Implement labeling workflows and active learning
- Optimize cost performance using compression and caching
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Apache Beam | CI/CD | Caching | Code review | Data Compression | Data Lineage | Data Modeling | Data Privacy | Data Quality | Data Storage | Data provenance | Dataset versioning | Distributed Systems | Human-in-the-loop | Java | Machine Learning | Python | Ray | Rédaction | Scala | Spark | Testing | The Loop
Education
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