AI Infrastructure Engineer
Tasks
- Build evaluation dataset construction pipelines integrity contamination controls
- Build high throughput data loading systems for GPU utilization
- Build ingestion systems for text image audio video structured signals
- Design data pipelines for AI training and evaluation
- Design storage architectures balancing cost throughput latency
- Develop dataset versioning lineage provenance tracking
- Document data systems schemas and operational procedures
- Drive observability of data quality drift pipeline health
- Implement data cleaning deduplication filtering quality assurance
- Implement data privacy redaction consent enforcement
- Implement labeling workflows active learning human in the loop
- Optimize cost and performance with compression format selection caching
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Beam | CI/CD | Caching | Compression | Data Lineage | Data Modeling | Data Privacy | Data Versioning | Data provenance | Distributed Systems | GPU | Human-in-the-loop | Java | Python | Ray | Rédaction | Scala | Spark | The Loop
Education
Roles
AI | AI Infrastructure Engineer | Data Engineer | Engineer | Infrastructure Engineer
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