AI Infrastructure and Data Associate
Tasks
- Apply cloud architecture best practices
- Configure compute resources
- Create technical documentation
- Deploy with Kubernetes
- Document resolutions
- Implement infrastructure-as-code
- Maintain data pipelines
- Maintain data preprocessing systems
- Manage GPU cluster health
- Monitor infrastructure stability
- Monitor system performance
- Support ML engineers
- Troubleshoot infrastructure issues
- Use Ansible
- Use Docker containers
- Use Terraform
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Ansible | Cloud platform | Data Pipelines | Docker | GPU Computing | Google Cloud | Google Cloud Platform | Grafana | High Performance | High-Performance Computing | Infrastructure as Code | Kubernetes | Linux | Microsoft Azure | Performance Computing | Prometheus | Python | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Information Technology
Roles
AI | AI Infrastructure Engineer | Data Engineer | DevOps | DevOps Engineer | Engineer | Infrastructure Engineer
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