Senior Research Data Engineer
Vienna, Vienna, Austria
EUR 70K-70K (estimate) Senior-level Full Time
Tasks
- Build data infrastructure for efficient loading storage retrieval
- Create evaluation datasets and benchmarks
- Design and build data pipelines for agent training
- Develop annotation and synthetic data workflows
- Develop tooling for dataset construction
- Document dataset provenance limitations intended use cases versioning history
- Identify data bottlenecks and propose solutions
- Implement data quality, validation, and monitoring
- Perform code reviews and refactor codebase
- Test data pipelines and ML workflows
- Translate research requirements into data specifications
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon S3 | Annotation Workflows | Batching | Benchmarks | DPO | Data Generation | Data Monitoring | Data Pipelines | Data Quality | Data Retrieval | Data Storage | Data Validation | Data Versioning | Dataset versioning | Distributed Systems | Evaluation datasets | Human-in-the-loop | LLM | Label Studio | Machine Learning | Prompt engineering | Python | RLHF | Ray | Sharding | Streaming Pipelines | Synthetic Data Generation | Synthetic data | The Loop | Tokenization | VLM
Education
N/A
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