MLOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MLOps Engineer with expertise in Ray and GPU configuration, based onsite in Austin, TX. Contract length and pay rate are unspecified. Key skills include AWS, GCP, Python, Golang, and API design.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 19, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Austin, TX
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🧠 - Skills detailed
#REST (Representational State Transfer) #API (Application Programming Interface) #Golang #GCP (Google Cloud Platform) #Disaster Recovery #REST API #AWS (Amazon Web Services) #Python #Cloud
Role description
Avanciers is seeking a highly skilled MLOps (Ray) Engineer to join our team for an exciting project with one of our esteemed Fortune 500 clients, based in Austin, TX, (Onsite)
Job Role: MLOps (Ray) Engineer
Location: Austin, TX/ Sunnyvale, CA
Primary Skills: MLOPs, GPU, Ray, GPU Configuration
Objective: MLOPS Engineer with experience in Ray & GPU configuration for engineering and development.
Job Description:
• Strong technical understanding and proficiency with Ray to operate, monitor, and triage all aspects of production and non-production environments.
• Ability to automate, deploy, and orchestrate services into cloud environments, including AWS & GCP.
• Nice to have: experience in Ray development.
• Proficiency in designing & implementing APIs (REST API / RPC API) and other services using Python or Golang.
• Active involvement in capacity planning, scale testing, and disaster recovery exercises.
• Implementation of SLO/SLI, error budget reporting for various customers.
• Collaborate and support cross-functional teams including Engineering, QA, and Program Management.
Avanciers is seeking a highly skilled MLOps (Ray) Engineer to join our team for an exciting project with one of our esteemed Fortune 500 clients, based in Austin, TX, (Onsite)
Job Role: MLOps (Ray) Engineer
Location: Austin, TX/ Sunnyvale, CA
Primary Skills: MLOPs, GPU, Ray, GPU Configuration
Objective: MLOPS Engineer with experience in Ray & GPU configuration for engineering and development.
Job Description:
• Strong technical understanding and proficiency with Ray to operate, monitor, and triage all aspects of production and non-production environments.
• Ability to automate, deploy, and orchestrate services into cloud environments, including AWS & GCP.
• Nice to have: experience in Ray development.
• Proficiency in designing & implementing APIs (REST API / RPC API) and other services using Python or Golang.
• Active involvement in capacity planning, scale testing, and disaster recovery exercises.
• Implementation of SLO/SLI, error budget reporting for various customers.
• Collaborate and support cross-functional teams including Engineering, QA, and Program Management.
