Google Cloud Machine Learning Engineer

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.