Machine Learning Engineer
Core
Configure, maintain, and monitor distributed ML training workloads on accelerator clusters using containerized environments.
Role type
ML Operations Engineer (MLOps)
Builds
Distributed ML training pipelines on multi-node accelerator clusters
Domain
Cloud Infrastructure & Machine Learning Operations
Deliverable
infrastructure
Required skills
Linux command-line operations, Python scripting, Bash scripting, Kubernetes, Docker, distributed workload monitoring, troubleshooting, log analysis
Preferred skills
YAML-based configurations, automation of workload execution
Technologies
Kubernetes, Docker, Python, Bash, Linux
Responsibilities
Configure and maintain ML environments using Kubernetes and Docker; Execute and monitor distributed ML training workloads; Review and modify scripts to automate execution; Troubleshoot workload failures and document findings; Track execution status and collaborate with engineering teams
Seniority
Mid-level, hands-on IC