AI/ML Platform Engineer
Mohit SinghUnited StatesMIDPosted 46m ago
NVIDIA GPUCUDANVIDIA AI EnterpriseKubernetesDockerGPU InfrastructureGPU-enabled ContainersMicrosoft AzureAzure AI ServicesPython ScriptingAutomationTerraformInfrastructure as CodeCI/CDGitHub ActionsGitHub RunnersMLOpsCloud InfrastructureNetworkingDNSSecurity
About the Role
We are looking for a skilled AI/ML Platform Engineer for a Contract-to-Hire opportunity. This role requires hands-on experience with AI/ML infrastructure, particularly with NVIDIA GPU, CUDA, Kubernetes, and Docker.
Key Responsibilities
• Design and implement AI/ML platforms using NVIDIA GPU, CUDA, and NVIDIA AI Enterprise
• Manage Kubernetes and Docker environments for AI/ML workloads
• Utilize Microsoft Azure and Azure AI Services for cloud-based solutions
• Develop Python scripts for automation and infrastructure management
• Implement Terraform for Infrastructure as Code (IaC)
• Set up CI/CD pipelines using GitHub Actions and GitHub Runners
• Apply MLOps principles for cloud infrastructure
• Ensure networking, DNS, and security best practices are followed
Requirements
• Strong experience with NVIDIA GPU, CUDA, and NVIDIA AI Enterprise
• Proficiency in Kubernetes and Docker
• Experience with Microsoft Azure and Azure AI Services
• Python scripting and automation skills
• Knowledge of Terraform and Infrastructure as Code
• Familiarity with CI/CD, GitHub Actions, and GitHub Runners
• Understanding of MLOps and cloud infrastructure
• Networking, DNS, and security expertise