Machine Learning Engineer

Overview Avanciers is hiring MLOPS (Ray) Engineer for one of our Fortune 500 clients. This is a long-term duration role with the client. Location: Austin, TX / Sunnyvale, CA Duration: 12+ months Interview Type: Video Primary Skills MLOps, Ray, GPU configuration GPU management Cloud automation and orchestration 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 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. Seniority level Mid-Senior level Employment type Contract Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Avanciers Inc. by 2x. Get notified about new Machine Learning Engineer jobs in Austin, Texas Metropolitan Area. #J-18808-Ljbffr