Job Title: AI Platform DevOps Engineer
Location: Washington, DC, Silver Spring, MD, Philadelphia, PA, Wilmington, DE, Fairfax, VA
Contract: 12+ Months
Looking for W2 candidates. No C2C
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
Preferred Skills
• NVIDIA GPU
• Ray
• KServe
• Vertex AI
• SageMaker
• Azure Machine Learning
Best Regards:
Julia T
Phone:
Email: