ML Ops Architect

Job description

**Roles and Responsibilities :** - Design, develop, and maintain scalable cloud-based infrastructure using Kubernetes on Azure. - Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs. - Develop automation scripts using Microsoft Flow to streamline processes and improve efficiency. - Troubleshoot issues related to containerized applications deployed in a microservices architecture. **Job Requirements :** - 8-14 years of experience in IT Services & Consulting industry. - Strong expertise in ML Ops, AI Ops, Agentic AI, Kubernetes, Docker, and cloud computing (Azure). - Proficiency in developing automation scripts using Microsoft Flow.