AI Data Engineer - Warsaw - hybrid - B2B/UoP
Tasks
- Build data validation frameworks
- Design and build scalable data pipelines
- Develop feature engineering pipelines
- Implement distributed data processing systems
- Monitor production systems
- Optimize ML workflows
- Own CI/CD processes for ML pipelines
- Research and experiment on feature engineering and MLOps aspects
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Cloud Platforms | Dagster | Dask | Data Engineering | Data Processing | Data Validation | Docker | ETL | MLOps | Machine Learning | Model Deployment | Pandas | Python | SQL | Scikit-learn | Spark
Roles
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