- Productionize machine learning models from prototype to production in partnership with Data Scientists.
- Manage real-time model serving against SLAs.
- Develop and maintain a standardized CI/CD path to production.
- Deploy and manage GenAI and RAG systems.
- Implement monitoring infrastructure for model drift, quality degradation, and automated retraining.
- Collaborate with Data Science, Platform, and Engineering teams to define MLOps standards.
- Advocate for Data Science needs across the organization.