
Senior AI Capacity Engineer(India/Philippines – Remote(night shift))
2 weeks ago
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.
- 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.
- 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.
- Automation & Lifecycle Management: Geneva Actions
- Mid-Senior level
- Full-time
- Engineering and Information Technology
- IT Services and IT Consulting
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