Position Overview
Job Title : MLOps Engineer (Energy)
Industry
Energy & Utilities
Position Overview
The MLOps Engineer will establish and manage scalable ML infrastructure, ensuring efficient deployment, monitoring, governance, and lifecycle management of machine learning solutions.
Responsibilities
- 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.
Required Skills
- MLOps
- Kubernetes
- Docker
- MLflow
- Databricks
- Azure ML / SageMaker / Vertex AI
- GitHub Actions
- Terraform
Preferred Skills
- Energy Forecasting Models
- Asset Optimization Models
- Real-Time...