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.