Description

You will manage and scale production ML environments using Ray.

Responsibilities

• Operate, monitor, and triage production and non-production environments.
• Automate service deployment and orchestration across AWS and GCP.
• Execute capacity planning, scale testing, and disaster recovery exercises.
• Design and implement RESTful/RPC APIs and services using Golang or Python.
• Implement SLO/SLI and error budget reporting for customers.
• Troubleshoot customer concerns regarding ML tuning and inference endpoints on Ray.

Required Skills

• 5+ years of professional experience.
• Deep understanding of Ray.
• Proficiency in Python.
• Proficiency in Golang.
• Experience with RESTful/RPC API design.
• Hands-on experience with AWS.
• Hands-on experience with GCP.
• Any Graduate degree.

Key Skills

Education

Any Gradute