Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Skills
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Ray
Amazon Web Services
GCP
Google Cloud Platform
Python
DevOps
Job Details
We are looking for Cloud Infrastructure & ML Operations Engineer with expertise in Ray, AWS, Google Cloud Platform, Python and MLops and need above 10+ years of experience in IT.
- Operate, monitor, and troubleshoot production & non-production cloud environments (AWS, Google Cloud Platform).
- Automate deployment, orchestration, and routine operational processes.
- Manage and optimize Ray clusters for ML tuning and inference endpoints.
- Perform capacity planning, scale testing, and disaster recovery exercises.
- Collaborate with Engineering, QA, and Program Management teams.
- Design and develop RESTful/RPC APIs and services using Golang or Python.
- Implement and maintain SLO/SLI metrics and error budget reports.
Main Skills Required:
- Ray Framework (deep understanding & operational experience).
- Cloud Platforms: AWS & Google Cloud Platform.
- Programming: Golang or Python.
- ML Ops Skills: Troubleshooting ML inference endpoints, performance tuning.
- DevOps & Automation: Deployment pipelines, orchestration tools.
- Monitoring & Reliability: SLO/SLI, capacity planning, disaster recovery.
- Collaboration Skills: Cross-team communication and problem-solving.
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