ML Engineer (Forecasting) | NDA
Tasks
- Build cloud based data pipelines and ML workflows
- Collaborate cross functional teams to deliver solutions
- Conduct proof of concept and production deployment
- Design time series forecasting models
- Develop and deploy machine learning models
- Evaluate and improve forecasting accuracy
- Perform data preprocessing and feature engineering
Perks/Benefits
- End to end ML lifecycle collaboration
- Flexible engagement structure
- Fully remote
- Healthcare impact projects
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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