ML Infrastructure Operations Engineer
Tasks
- Automate workload execution
- Collaborate with engineering teams to improve reliability
- Collect logs and identify issues
- Communicate test progress
- Configure and maintain ML environments
- Document findings
- Execute and monitor distributed ML training workloads
- Improve operational efficiency
- Review modify and execute Bash scripts
- Review modify and execute Python scripts
- Track workload execution status
- Troubleshoot workload failures
- Validate distributed training workloads
Perks/Benefits
Skills/Tech-stack
Bash | Command Line | Distributed Training | Docker | Kubernetes | Linux | Linux Command | Linux Command Line | Python | YAML
Education
N/A
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