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Customer Delivery & Implementation:
- Implement production AI / ML workloads using Ray and Anyscale.
- Work hands-on with customer codebases to refactor or adapt existing workloads to Ray.
Architecture & Technical Guidance:
- Advise customers on ML system architecture.
- Guide customers through architectural and operational changes required to adopt Ray and Anyscale effectively.
MLOps Enablement:
- Partner with customer MLE and MLOps teams to integrate Ray into existing platforms and workflows.
- Support CI/CD, monitoring, retraining, and operational best practices.
Technical Enablement & Knowledge Transfer:
- Enable customer teams through working sessions, design reviews, training delivery, and hands-on guidance.
- Contribute feedback from the field to product, engineering, and education teams.
Anyscale
Anyscale is on a mission to democratize distributed computing and make it accessible to software developers. They are commercializing Ray, an open-source project creating an ecosystem of libraries for scalable machine learning and are backed by Andreessen Horowitz, NEA, and Addition.