AI Data Engineer
Tasks
- Build high throughput data loading for training
- Build ingestion systems for multimodal data
- Collaborate with ML researchers and engineers on data requirements
- Construct evaluation datasets with integrity controls
- Design and operate large-scale 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 filtering and quality assurance
- Implement data privacy redaction and consent enforcement
- Implement labeling workflows and active learning pipelines
- Optimize cost and performance with compression format selection and caching
Perks/Benefits
Skills/Tech-stack
Active Learning | Apache Beam | CI/CD | Caching | Code review | Compression | Data Lineage | Data Modeling | Data Privacy | Data Quality | Data redaction | Dataset versioning | Distributed Systems | Java | Observability | Python | Ray | Scala | Spark | Storage Architecture | Testing
Education
Roles
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