MLOps Engineer - Databricks
We're urgently seeking an MLOps Engineer with Databricks expereince for a key partner. You will be responsible for implementing ML workloads and MLOps capabilities on the Global AI Platform.
Key Responsibilities
Key Responsibilities
- Configure and optimise Databricks-based ML development and deployment frameworks.
- Implement model training, deployment, monitoring, and governance capabilities.
- Adapt or develop frameworks required to support migrated workloads.
- Build CI/CD pipelines and automation for ML lifecycle management.
- Lead technical implementation of pilot models on the Global AI Platform.
- Develop reusable migration accelerators and standards.
- Databricks Lakehouse Platform.
- Databricks ML, MLflow, Unity Catalog, Workflows, and Model Serving.
- CI/CD and MLOps automation.
- Python and production ML deployment patterns.