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
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