Machine Learning Data Engineer
Tasks
- Build evaluation dataset construction with integrity and contamination controls
- Build high throughput data loading to maximize GPU utilization
- Build ingestion systems for multimodal data
- Collaborate with ML researchers and engineers on data needs
- Design and operate large scale data pipelines for AI training and evaluation
- Design storage architectures for cost throughput and latency
- Develop dataset versioning lineage and provenance tracking
- Document data systems schemas and operational procedures
- Drive observability of 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 with compression format selection and caching
Perks/Benefits
Skills/Tech-stack
Apache Beam | CI/CD | Data Drift | Data Lineage | Data Modeling | Data Observability | Data Privacy | Data Quality | Data provenance | Data redaction | Dataset versioning | Distributed Systems | Java | Python | Ray | Scala | Spark | Storage Formats | Unit Testing
Education
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