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 operationalize models
- Troubleshoot infrastructure and pipeline issues
- Maintain documentation of ML infrastructure and workflows
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