Senior AI Capacity Engineer(India/Philippines – Remote(night shift))

2 weeks ago


Bacoor, Philippines CSI Interfusion Full time

Senior AI Capacity Engineer (India/Philippines – Remote (night shift)) Overview

Senior AI Capacity Engineer (India/Philippines – Remote night shift).

Responsibilities
  • Own the creation, updating, and deletion of model pools.
  • Ensure accurate provisioning and decommissioning across Dev, Test, and Production environments.
  • Security Patch Management: Implement and maintain timely security patches for all model pools.
  • Ensure compliance in regulated environments, including US Government clouds and Microsoft internal services.
  • Quota Monitoring & 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 & Process Improvement: Build and maintain automated workflows for lifecycle operations and monitoring. Collaborate with cross-functional teams to improve operational efficiency and governance. Analyze logs and metrics to detect anomalies, performance issues, or compliance gaps. Generate actionable insights to inform scaling, patching, and lifecycle decisions.
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.
  • Senior engineers must have at least 5 years of relevant experience.
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.
Tools & Technologies
  • Automation & Lifecycle Management: Geneva Actions
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • IT Services and IT Consulting
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