MLOPS Ray Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MLOPS Ray Developer on a contract basis, offering remote work. Key skills include Ray, AWS, GCP, Python, and Golang. Experience in cloud automation, capacity planning, and troubleshooting ML endpoints is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
August 23, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Remote
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Python #Cloud #Deployment #Disaster Recovery #Golang #API (Application Programming Interface) #AWS (Amazon Web Services) #ML (Machine Learning) #GCP (Google Cloud Platform)
Role description
Role: MLOPS Ray Developer
Location: Austin, TX/ Sunnyvale, CA/ Remote
Duration: Contract
Job Description:
• Deep understanding of Ray, Operate, monitor, and triage all aspects of our production and non-production environments.
• Automate deployment and orchestration of services into the cloud environment, as well as other routine processes.
• Work on multiple cloud environments like AWS and GCP.
• Actively participate in capacity planning, scale testing, and disaster recovery exercises.
• Interact with and support partner teams, including Engineering, QA, and program management.
• Troubleshoot customer concerns for ML Tuning and inference endpoints on Ray.
• Designing and implementing RESTful/RPC API and services using Golang OR Python.
• Implement SLO/SLI, error budget reporting for various customers
Role: MLOPS Ray Developer
Location: Austin, TX/ Sunnyvale, CA/ Remote
Duration: Contract
Job Description:
• Deep understanding of Ray, Operate, monitor, and triage all aspects of our production and non-production environments.
• Automate deployment and orchestration of services into the cloud environment, as well as other routine processes.
• Work on multiple cloud environments like AWS and GCP.
• Actively participate in capacity planning, scale testing, and disaster recovery exercises.
• Interact with and support partner teams, including Engineering, QA, and program management.
• Troubleshoot customer concerns for ML Tuning and inference endpoints on Ray.
• Designing and implementing RESTful/RPC API and services using Golang OR Python.
• Implement SLO/SLI, error budget reporting for various customers
