AI Data Infrastructure Engineer
Tasks
- Build evaluation dataset construction with integrity controls
- Build high throughput data loading for GPU training
- Build ingestion systems for multimodal data
- Design and operate large scale AI data pipelines
- Design storage architectures for cost throughput and latency
- Develop dataset versioning lineage and provenance tracking
- Document data systems schemas and procedures
- Drive observability of data quality drift and pipeline health
- Implement data cleaning deduplication and quality assurance
- Implement data privacy redaction and consent enforcement
- Implement labeling workflows and active learning pipelines
- Optimize cost and performance with compression formats and caching
Perks/Benefits
- 100 percent remote work
- Career growth opportunities
- H1B transfer support for qualified candidates
- Long term multi year engagement
Skills/Tech-stack
Apache Beam | Apache Spark | CI/CD | Caching | Code review | Compression | Data Lineage | Data Modeling | Data Privacy | Data Quality | Data redaction | Dataset versioning | Distributed Systems | Java | Python | Ray | Testing
Education
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