Machine Learning Infrastructure Engineer (Associate or Experienced)
Tasks
- Administer distributed storage and storage networking
- Administer dns dhcp and ldap
- Automate infrastructure provisioning with scripting and infrastructure as code
- Configure and maintain network devices firewalls and switches
- Deploy and manage local generative AI models
- Deploy and orchestrate containerized applications with Kubernetes
- Develop and support CI/CD pipelines with GitLab
- Document infrastructure changes and asset data in DCIM and IPAM
- Manage MLOps tooling for GPU computing
- Manage virtualization platforms and clusters
- Operate Kubernetes clusters using Rancher and OpenShift
- Operate computing infrastructure for AI ML development
- Optimize cloud infrastructure resources
- Support AI ML infrastructure environments
- Support Linux and Windows system administration
- Troubleshoot network connectivity issues
Perks/Benefits
- Flexible work environment
- Paid Medical Leave Programs
- Paid leave programs
- Paid parental leave
- Paid time off
- Tuition assistance
Skills/Tech-stack
AWS | Ansible | Azure | Bash | CI/CD | Cloud infrastructure | DCIM | DHCP | DNS | Distributed Storage | Docker | Firewalls | GPU Computing | GitLab | Google Cloud | High Performance | High-Performance Computing | Hyper-V | IPAM | Infrastructure as Code | Kubernetes | LDAP | Linux | MLOps | NIST | OpenShift | Performance Computing | Powershell | Proxmox | Python | Rancher | Storage networking | Switches | Terraform | VMware | VPN | Virtual Network | Virtualization | Virtualization Platforms | Windows | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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