Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer (MLOPS) with a contract length of 12+ months, located in Austin, TX or Sunnyvale, CA. Key skills include MLOps, GPU management, AWS/GCP automation, and API development in Python or Go.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 19, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Austin, Texas Metropolitan Area
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🧠 - Skills detailed
#REST (Representational State Transfer) #API (Application Programming Interface) #GCP (Google Cloud Platform) #Deployment #Automation #Disaster Recovery #AWS (Amazon Web Services) #Python #Cloud #ML (Machine Learning)
Role description
Avanciers is hiring MLOPS (Ray) Engineer for one of our Fortune 500 clients. This is a Long Termed Duration role with the client.
Position: MLOPS Engineer
Location: Austin, TX / Sunnyvale, CA
Duration: 12+ months
Interview Type: Video
Primary Skill: MLOPs, GPU, Ray , GPU configuration
Core Responsibilities:
• Ray & GPU Management: Operate, monitor, and troubleshoot production and non-production environments with a deep understanding of Ray and GPU configurations.
• Cloud Automation: Automate service deployment and orchestration across multiple cloud platforms, specifically AWS and GCP.
• API Development: Design and implement REST or RPC APIs and other services using Python or Go.
• Performance & Reliability: Participate in capacity planning, scale testing, and disaster recovery. You will also be responsible for implementing and reporting on SLOs and SLIs.
• Collaboration: Work closely with engineering, QA, and program management teams to support and improve our ML pipelines.
What We're Looking For:
• Expertise in Ray for managing distributed ML workloads.
• Experience in automating and orchestrating services in AWS and GCP.
• Proficiency in designing and implementing APIs with Python or Go.
• Familiarity with Ray development is a plus.
• Experience with implementing SLOs and SLIs.
Avanciers is hiring MLOPS (Ray) Engineer for one of our Fortune 500 clients. This is a Long Termed Duration role with the client.
Position: MLOPS Engineer
Location: Austin, TX / Sunnyvale, CA
Duration: 12+ months
Interview Type: Video
Primary Skill: MLOPs, GPU, Ray , GPU configuration
Core Responsibilities:
• Ray & GPU Management: Operate, monitor, and troubleshoot production and non-production environments with a deep understanding of Ray and GPU configurations.
• Cloud Automation: Automate service deployment and orchestration across multiple cloud platforms, specifically AWS and GCP.
• API Development: Design and implement REST or RPC APIs and other services using Python or Go.
• Performance & Reliability: Participate in capacity planning, scale testing, and disaster recovery. You will also be responsible for implementing and reporting on SLOs and SLIs.
• Collaboration: Work closely with engineering, QA, and program management teams to support and improve our ML pipelines.
What We're Looking For:
• Expertise in Ray for managing distributed ML workloads.
• Experience in automating and orchestrating services in AWS and GCP.
• Proficiency in designing and implementing APIs with Python or Go.
• Familiarity with Ray development is a plus.
• Experience with implementing SLOs and SLIs.
