Machine Learning Engineer (Energy) - MLEEAS

Job Title : Machine Learning Engineer (Energy)

Industry

Energy & Utilities Position Overview

The 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. Required Skills

Python Machine Learning TensorFlow PyTorch Scikit-Learn Databricks ML Feature Engineering Model Deployment Preferred Skills

Predictive Maintenance Demand Forecasting Energy Load Optimization Renewable Energy Analytics Mandatory Experience

5+ years in Machine Learning Engineering. Must have prior Energy sector experience. For more details reach at

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