About the role
Responsibilities:
- Build and maintain ML pipelines for training, evaluation, and deployment.
- Support model versioning, packaging, and CI/CD for ML workflows.
- Monitor deployed models for performance, drift, and reliability.
- Automate data preprocessing and feature pipelines.
- Collaborate with data scientists to deploy and operationalise models.
- Troubleshoot infrastructure and pipeline issues.
- Maintain documentation of ML infrastructure and workflows
- Support scaling of training/inference infrastructure.