ML Engineer (Forecasting) | NDA
Tasks
- Build data pipelines and ML workflows
- Collaborate with data product and cloud teams
- Deploy machine learning models to production
- Design time series forecasting models
- Develop forecasting models ARIMA SARIMA Prophet and LSTM
- Evaluate forecasting accuracy with metrics
- Improve model reliability and performance
- Perform data preprocessing and feature engineering
- Present results to stakeholders
- Run proof of concept to production deployment
Perks/Benefits
- End to end ML lifecycle exposure
- Flexible engagement extension possible
- Fully remote across Europe
- Healthcare domain impact
Skills/Tech-stack
ARIMA | AWS | Azure | GCP | Git | LSTM | Machine Learning | NumPy | Pandas | Prophet | PyTorch | Python | SARIMA | SQL | Scikit-learn | Series forecasting | Time Series | Time Series Forecasting
Education
N/A
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