ML Engineer
Kraków, Województwo małopolskie, PL
PLN 183K-298K (estimate) Mid-level Full Time
Tasks
- Build feature engineering repositories
- Collaborate cross-functional teams
- Develop artifact monitoring tools
- Develop inference monitoring pipelines
- Evaluate ML artifacts
- Extend ML monitoring pipelines
- Implement MLOps pipelines automation
- Investigate data quality issues
- Maintain internal tools for model operations
- Monitor ML model performance
- Optimize MLOps pipelines
- Oversee production based adjusters
- Perform exploratory data analysis
- Report reliability and explainability metrics
- Retrain ML models
- Troubleshoot production ML workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | CI/CD | Dagster | Data Analysis | Data Visualization | Docker | Explainable AI | Exploratory Data Analysis | Feature Engineering | GCP | Kedro | Kubernetes | ML observability | MLOps | Machine Learning | Model Monitoring | NumPy | Pandas | Polars | PyTorch | Python | SQL | Scikit-learn | TensorFlow | Time Series
Education
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