Job Summary
We are hiring an AI Platform DevOps Engineer to support enterprise AI, Machine Learning, and Generative AI platforms through cloud-native infrastructure, MLOps, and AI workload automation. The ideal candidate should have experience deploying AI platforms on Azure, AWS, or Google Cloud Platform.
Key Responsibilities
- Deploy AI and ML platforms.
- Automate MLOps infrastructure.
- Manage Kubernetes clusters for AI workloads.
- Deploy GPU-enabled containerized applications.
- Build CI/CD pipelines for AI models.
- Implement model deployment automation.
- Configure cloud storage and networking.
- Monitor AI infrastructure.
- Support AI engineering teams.
- Optimize platform performance.
Required Skills
- Kubernetes
- Docker
- Terraform
- Python
- GitHub Actions
- Azure AI
- AWS
- Google Cloud Platform
- MLflow
- Kubeflow
- Helm
- ArgoCD
- OpenTelemetry
- Linux
Mandatory Skills
- Kubernetes
- Docker
- Terraform
- Python
- GitHub Actions
- MLflow
- Kubeflow
- Azure/AWS/Google Cloud Platform
- Helm
- ArgoCD
Rate:
Not specified
Location:
Dallas
IR35 Status:
Outside
Remote Status:
Remote
Industry:
IT
Seniority Level:
Not Specified