ML Engineer (Forecasting) | NDA
Tasks
- Build data pipelines and ML workflows
- Collaborate with cross-functional teams
- Deploy machine learning models to production
- Design time series forecasting models
- Develop forecasting models and improve accuracy
- Evaluate model performance with validation metrics
- Perform data preprocessing and feature engineering
- Present solutions to stakeholders
Perks/Benefits
- Collaboration with experienced engineers
- End to end machine learning lifecycle
- Flexible engagement structure
- Fully remote Europe
- Healthcare domain impact
- Potential contract extension
Skills/Tech-stack
ARIMA | AWS | Azure | Data Preprocessing | Feature Engineering | GCP | Git | LSTM | Machine Learning | NumPy | Pandas | Prophet | PyTorch | Python | SARIMA | SQL | Scikit-learn | Series forecasting | Statistical modeling | Time Series | Time Series Forecasting
Education
N/A
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