Machine Learning Engineer - Energy Optimization
Tasks
- Build and improve machine learning models
- Build and improve optimization models
- Communicate model trade offs and uncertainty to stakeholders
- Define success metrics and align stakeholders
- Deploy and monitor model performance
- Develop time series forecasting and scheduling models
- Evaluate model impact and iterate
- Productionize models end to end
- Run experiments on real customer systems
Perks/Benefits
- Career advancement opportunities
- Collaborative cross-functional teams
- Entrepreneurial minded environment
- International product collaboration
- New office near public transport
- Supportive and inclusive culture
Skills/Tech-stack
AWS | Azure | Cloud Computing | Deployment | Experimentation | GCP | Machine Learning | Model Evaluation | Monitoring | Optimization | Python | Scheduling | Series forecasting | Testing | Time Series | Time Series Forecasting
Education
N/A
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