Job Posting: Azure Engineer
Description: As an Azure Engineer, you will be responsible for configuring shared Azure ML portals, ensuring seamless collaboration, and optimizing compute instances. Your expertise in setting up access profiles and supporting various ML projects will be critical.
Technical Requirements:
Proficient in Azure ML Portal configuration, including setting up shared environments for internal and external users with varied access right profiles.
Experience in optimizing and managing compute instances to meet the performance and usage requirements of diverse ML projects.
Knowledge of Azure Virtual Networks, Subnets, and Virtual Machines for creating and maintaining ML development environments.
Understanding of Azure Resource Manager (ARM) templates for efficient deployment and management of resources.
Familiarity with Azure DevOps for continuous integration and deployment in the context of machine learning projects.
Ability to implement custom role-based access control (RBAC) configurations to ensure security compliance.
Skilled in troubleshooting and resolving issues related to Azure ML services and compute instances.
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