- Work closely with research engineers to develop productionized ML workflows
- Develop and iterate on platform infrastructure for training, validating, and deploying neural networks
- Deploy cloud infrastructure and build distributed data-processing pipelines
- Develop on an in-house multi-tenant data lake ecosystem supporting the entire lifecycle of machine learning operations
- Build internal APIs to serve data, trigger workflows, and enforce business logic
- Build CI/CD process and other internal tools to enhance developer productivity
CI/CDRESTful APIsMicroservices