MLOps Engineer (Energy)- MLEAS

Energy & Utilities

The MLOps Engineer will establish and manage scalable ML infrastructure, 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.

• MLOps


• Kubernetes


• Docker


• MLflow


• Databricks


• Azure ML / SageMaker / Vertex AI


• GitHub Actions


• Terraform

• Energy Forecasting Models


• Asset Optimization Models


• Real-Time...