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Job Description & How to Apply Below
Job Title : MLOps Engineer (Energy) Industry
Energy & Utilities
Position OverviewThe 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.
- MLOps
- Kubernetes
- Docker
- MLflow
- Databricks
- Azure ML / Sage Maker / Vertex AI
- Git Hub Actions
- Terraform
- Energy Forecasting Models
- Asset Optimization Models
- Real-Time Monitoring Systems
- 5+ years in MLOps or ML Platform Engineering.
- Must have prior Energy industry experience.
For more details reach at
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