- Deploy machine learning models to production
- Design and build data pipelines
- Detect data drift and retrain models
- Develop machine learning models
- Document data pipelines and model architectures
- Integrate model outputs into automated workflows
- Maintain and improve deployed models
- Scope and validate machine learning use cases
- Serve models and monitor performance