Help creating VM enabled GPU on Azure

Job Title: Azure VM with GPU Specialist
Location: Remote
Job Type: Contract/Freelance
About Us:We are a forward-thinking company looking to harness the power of GPU-accelerated virtual machines (VMs) on Microsoft Azure for our computational needs. We are seeking a skilled Azure VM with GPU Specialist to help us set up and optimize GPU-enabled VMs on the Azure platform.
Job Description:The Azure VM with GPU Specialist will be responsible for designing, deploying, and optimizing GPU-enabled virtual machines on the Azure cloud platform. This role requires extensive knowledge of Azure infrastructure, GPU technologies, and best practices for high-performance computing and machine learning workloads.
Key Responsibilities:
Design and implement GPU-enabled virtual machine architectures on Microsoft Azure.
Configure and manage Azure resources, including virtual networks, storage accounts, and virtual machines.
Optimize GPU performance for specific applications, including machine learning, data analysis, and computational simulations.
Ensure security and compliance standards are met for all deployed resources.
Provide documentation and training for internal teams on using and managing GPU-enabled VMs.
Troubleshoot and resolve issues related to Azure infrastructure and GPU performance.
Qualifications:
Proven experience with Microsoft Azure, including setting up and managing virtual machines and related resources.
Strong understanding of GPU technologies (NVIDIA, AMD) and their integration with virtual machines.
Experience with high-performance computing, machine learning, or data analysis workloads on cloud platforms.
Familiarity with Azure CLI, PowerShell, and other automation tools.
Knowledge of security best practices for cloud infrastructure.
Excellent problem-solving skills and the ability to work independently.
Relevant certifications (e.g., Microsoft Certified: Azure Solutions Architect Expert) are a plus.
Preferred Skills:
Experience with Docker and Kubernetes for containerized GPU workloads.
Understanding of deep learning frameworks (TensorFlow, PyTorch) and their deployment on Azure.
Experience with Terraform or other Infrastructure as Code (IaC) tools.
Familiarity with Azure DevOps for continuous integration and continuous deployment (CI/CD).
How to Apply: Please send your resume and a cover letter detailing your experience with Azure and GPU technologies to [your email address]. Include any relevant project examples or case studies showcasing your expertise.
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