AI Infrastructure Expert

2 days ago

Cainta, Calabarzon, Philippines beBeeCapacity Full time $90,000 - $135,000
Senior AI Capacity Engineer Position

We are seeking an experienced Senior AI Capacity Engineer to join our team. As a key member of our infrastructure team, you will be responsible for ensuring the optimal performance and efficiency of our cloud-based infrastructure.

This role involves owning the creation, updating, and deletion of model pools, ensuring accurate provisioning and decommissioning across Dev, Test, and Production environments.

Main Responsibilities:
  • Model Pool Management: Create, update, and delete model pools to meet business demands.
  • Provisioning and Decommissioning: Ensure accurate provisioning and decommissioning of model pools across different environments.
  • Security Patch Management: Implement and maintain timely security patches for all model pools.
  • Compliance and Governance: Ensure compliance in regulated environments, including US Government clouds and Microsoft internal services.
  • Quota Monitoring and Dynamic Scaling: Continuously monitor model pool usage metrics and system performance. Adjust quotas based on business demand and AI inference load to optimize resource allocation.
  • Automation and Process Improvement: Build and maintain automated workflows for lifecycle operations and monitoring. Collaborate with cross-functional teams to improve operational efficiency and governance.
Required Skills and Experience:
  • C# and .NET: Strong proficiency in C# and .NET for automation and service development.
  • Geneva Actions: Hands-on experience with Geneva Actions for resource lifecycle automation.
  • Azure Data Explorer and Kusto Query Language (KQL): Experience with Azure Data Explorer and Kusto Query Language (KQL) and Dashboard for monitoring and analytics.
  • Azure DevOps: Familiarity with Azure DevOps for CI/CD pipeline implementation.
  • Visual Studio Code: Comfortable with Visual Studio Code or similar development environments.
  • Cloud Environments: Solid understanding of model lifecycle, scaling, and quota management in cloud environments.
  • Regulated Cloud Environments: Experience in security patch management in regulated or government cloud environments.

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