MLOps Engineer (Energy) - MLEAS

The MLOps Engineer will establish and manage scalable ML infrastructure for the energy industry, ensuring efficient deployment, monitoring, governance, and lifecycle management of machine learning solutions.

• Build ML deployment pipelines.
• Implement CI/CD for ML systems.
• Automate model retraining workflows.
• Monitor model performance and drift.
• Manage ML infrastructure and environments.
• Ensure governance and compliance requirements.

• 5+ years in MLOps or ML Platform Engineering.
• Must have prior Energy industry experience.

• Energy Forecasting Models
• Asset Optimization Models
• Real-Time Monitoring Systems