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Discover how to transition your systems administration and DevOps expertise into the rapidly growing field of MLOps in this 17-minute lightning talk from DevConf.IN 2026. Learn why your existing skills in production reliability, infrastructure automation, and data management represent 80% of what's needed to become an MLOps Engineer, one of the most in-demand roles in tech today. Explore practical strategies for leveraging your current knowledge of containers (Docker), cloud infrastructure, and CI/CD pipelines to build, deploy, and scale machine learning models without needing to become a Data Scientist. Understand how to transform your operations expertise into a comprehensive MLOps approach and position yourself as an AI Operator in the evolving technology landscape.
