Machine Learning Infrastructure Engineer (Associate or Experienced)
Tasks
- Administer distributed storage systems
- Administer dns dhcp and ldap
- Administer virtualization platforms and clusters
- Automate infrastructure provisioning with scripting
- Configure and maintain network devices
- Deploy and manage local generative AI models
- Deploy and orchestrate containerized applications
- Develop support and troubleshoot CI CD pipelines
- Document infrastructure changes and asset data
- Implement Infrastructure as Code deployments
- Maintain enterprise IT compliance
- Manage ai ml computing infrastructure
- Monitor systems and apply patching
- Operate Kubernetes clusters
- Optimize cloud infrastructure resources
- Support Linux system administration
- Support Windows system administration
- Support ml ops tooling for gpu workloads
- Troubleshoot network connectivity issues
Perks/Benefits
Skills/Tech-stack
Ansible | Automation | Bash | Best practices | CI/CD | Cloud Computing | DHCP | DNS | Data Center Infrastructure | Data Center Infrastructure Management | Data center | Distributed Storage | Docker | Firewalls | GPU Computing | GitLab | High Performance | High-Performance Computing | Hyper-V | IP Address Management | IP address | Infrastructure Management | Infrastructure as Code | Kubernetes | LDAP | Linux | NIST | Networking | OpenShift | Performance Computing | Powershell | Proxmox | Python | Rancher | Scripting | Security best practices | Storage | Switches | Terraform | VMware | VPN | Virtualization | Windows | “as-code”
Education
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