Senior AI Infrastructure Specialist

1 day ago

Bacoor, Calabarzon, Philippines beBeeCloudEngineer Full time $80,000 - $150,000
Job Description

A Senior AI Capacity Engineer will be responsible for owning the creation, updating, and deletion of model pools. This includes ensuring accurate provisioning and decommissioning across Dev, Test, and Production environments. The ideal candidate will also implement and maintain timely security patches for all model pools, ensuring compliance in regulated environments including US Government clouds and Microsoft internal services.


Key Responsibilities
  • Own the creation, updating, and deletion of model pools
  • Ensure accurate provisioning and decommissioning across Dev, Test, and Production environments
  • Implement and maintain timely security patches for all model pools
  • Ensure compliance in regulated environments
  • Quota Monitoring & Dynamic Scaling: Continuously monitor model pool usage metrics and system performance
  • Automation & Process Improvement: Build and maintain automated workflows for lifecycle operations and monitoring

Required Skills & Experience
  • Strong proficiency in C# and .NET for automation and service development
  • Hands-on experience with Geneva Actions for resource lifecycle automation
  • Experience with Azure Data Explorer and Kusto Query Language (KQL) and Dashboard for monitoring and analytics
  • Familiarity with Azure DevOps for CI/CD pipeline implementation
  • Comfortable with Visual Studio Code or similar development environments
  • Solid understanding of model lifecycle, scaling, and quota management in cloud environments
  • Experience in security patch management in regulated or government cloud environments
  • Strong problem-solving skills and ability to work in fast-paced, dynamic environments

Preferred Qualifications
  • Experience with AI/ML model deployment and inference workloads
  • Experience working with large-scale cloud platforms such as Azure
  • Understanding of performance tuning and cost optimization for cloud-based ML services

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