MLOps Engineer (Energy) - MLEAS

This role is for an MLOps Engineer in the energy sector, responsible for building and managing scalable ML infrastructure. Key duties include CI/CD for ML systems, automated retraining, and monitoring model performance. Candidates need 5+ years of MLOps experience with tools like Kubernetes, Docker, MLflow, and cloud platforms.

• 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.
• Prior Energy industry experience.
• Proficiency in MLOps, Kubernetes, Docker, MLflow, Databricks, Azure ML, SageMaker, Vertex AI, GitHub Actions, Terraform.

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