DevOps Engineer - Dallas, TX, Austin, TX, Houston, TX, San Antonio, TX.
Why this role stands out
Advance your career by deploying cutting-edge AI and ML platforms, gaining valuable cloud-native experience with a reputable company. This hybrid role is perfect for a mid-senior DevOps Engineer passionate about automation and eager to contribute to innovative AI solutions. Apply today to join a forward-thinking team and shape the future of artificial intelligence.
Quick overview
Job description
Job Title: DevOps Engineer
Location: Dallas, TX, Austin, TX, Houston, TX, San Antonio, TX.
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
Mandatory Skills:
· Kubernetes
· Docker
· Terraform
· Python
· GitHub Actions
· MLflow
· Kubeflow
· Azure/AWS/Google Cloud Platform
· Helm
· ArgoCD
Best Regards:
Tina
Phone:
Email:
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