Generative AI projects have motivated enterprises to rethink their AI strategy and make it a priority. Machine Learning Operations (MLOps) is a set of practices that aim to simplify workflow processes and automate machine learning and deep learning deployments. MLOps is slowly evolving into an independent approach to the machine learning lifecycle that includes all steps – from data gathering to governance and monitoring. It has the potential to align business demands and regulatory requirements, and its benefits include faster deployment, scalability, and reproducibility. Charmed Kubeflow is a production-grade, end-to-end MLOps platform that translates steps in the data science workflow into Kubernetes jobs.