Machine Learning Engineer (Energy) - MLEEAS
NavitasPartners
Energy & Utilities
Position OverviewThe ML Engineer will develop and deploy machine learning models supporting predictive maintenance, energy demand forecasting, asset optimization, and renewable energy production analytics.
Responsibilities- Develop machine learning pipelines.
- Build predictive analytics solutions.
- Deploy ML models into production.
- Optimize model performance and monitoring.
- Collaborate with data scientists and engineers.
- Support AI-driven operational excellence programs.
- Python
- Machine Learning
- TensorFlow
- PyTorch
- Scikit-Learn
- Databricks ML
- Feature Engineering
- Model Deployment
- Predictive Maintenance
- Demand Forecasting
- Energy Load Optimization
- Renewable Energy Analytics
- 5+ years in Machine Learning Engineering.
- Must have prior Energy sector experience.
For more details reach at View email address on navitasp.talentnest.com
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