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 resumes@navitassols.com