ML Engineer (Forecasting) | NDA
Tasks
- Build data pipelines
- Collaborate with Data and Cloud Engineers
- Deploy models to production
- Design time series forecasting ML models
- Develop forecasting models
- Optimize forecasting models
- Perform model evaluation and iteration
- Present work to stakeholders
- Train and deploy ML models
Perks/Benefits
- N/A
Skills/Tech-stack
ARIMA | AWS | Azure | Data Pipelines | Data Preprocessing | Feature Engineering | Forecasting | Git | Google Cloud | LSTM | Machine Learning | Model Deployment | NumPy | Pandas | Prophet | PyTorch | Python | SARIMA | SQL | Scikit-learn | Series forecasting | Time Series | Time Series Forecasting | TimeGPT | XGBoost
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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