ML Engineer
Wrocław, Województwo dolnośląskie, PL
PLN 183K-298K (estimate) Mid-level Full Time
Tasks
- Build and maintain static and temporal features for seasonality event based and pricing use cases
- Collaborate with cross functional teams to align ML systems with business needs
- Develop and maintain feature engineering repositories and inference monitoring pipelines
- Evaluate and track ML artifacts and explainability files
- Extend and scale model monitoring pipelines
- Implement MLOps automation for model retraining
- Monitor and report model performance reliability and explainability metrics
- Oversee production based adjusters across customer deployments
- Perform exploratory data analysis to identify data quality issues
- Troubleshoot production ML workflow issues
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | CI/CD | Dagster | Data Analysis | Docker | Exploratory Data Analysis | Feature Engineering | GCP | Kedro | Kubernetes | Learning operations | Machine Learning | Machine Learning Operations | Model Explainability | Model Monitoring | NumPy | Pandas | Polars | PyTorch | Python | SQL | Scikit-learn | TensorFlow | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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