Machine Learning Engineer (Energy)

The ML Engineer will develop and deploy machine learning models for predictive maintenance, energy demand forecasting, asset optimization, and renewable energy production analytics, collaborating with data scientists and engineers to support AI-driven operational excellence.

• 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

• 5+ years in Machine Learning Engineering
• Prior Energy sector experience
• Python
• Machine Learning
• TensorFlow
• PyTorch
• Scikit-Learn
• Databricks ML
• Feature Engineering
• Model Deployment

• Predictive Maintenance
• Demand Forecasting
• Energy Load Optimization
• Renewable Energy Analytics