Machine Learning Engineer

The Data Platform Team is responsible for all machine learning operations across our energy data ecosystem. We work with everything from raw sensor data from millions of energy assets to complex operational datasets, generating high-value predictions such as equipment failure detection, energy demand forecasting, operational anomaly identification, predictive maintenance scheduling, and system optimization recommendations.

Requirements

• Experienced in building and deploying distributed scalable ML pipelines that can process large volumes of energy data daily using Kubernetes and MLflow
• Solid machine learning engineering fundamentals, fluent in Python, PyTorch, and XGBoost
• Skilled in developing classification models and anomaly detection systems for production environments
• Capable of implementing comprehensive data lineage tracking and model governance systems
• Experienced with the full ML model lifecycle, including experiment design, model development, validation, deployment, monitoring, and maintenance

Benefits

• Private Health Insurance
• Global Volunteering Policy