AI DevOps Engineer
Tasks
- Automate infrastructure model lifecycle and inference pipelines
- Coordinate cross functional teams for business outcomes
- Deploy and integrate LLM and SLM into enterprise applications
- Design secure scalable Azure cloud infrastructure
- Guide AI engineering delivery
- Lead AI ML and GenAI architecture and deployment
- Mentor engineers and promote best practices
- Optimize costs monitor systems and ensure compliance
- Oversee CI CD for AI workloads
Perks/Benefits
- N/A
Skills/Tech-stack
Ansible | Azure | Azure DevOps | Bash | CI/CD | Compliance | FinOps | GenAI | GitHub Actions | Inference Optimization | Infrastructure as Code | Jenkins | Kubernetes | Linux | MacOS | Model Serving | Monitoring | Observability | Powershell | Python | RAG | Terraform | Windows | “as-code”
Education
N/A
Roles
AI | AI DevOps Engineer | DevOps | DevOps Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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