Wix leverages Apache Airflow as the backend for its machine learning platform, extending its use beyond traditional pipeline scheduling to streamline ML workflows and automate operational tasks. Wix's data science practice runs over 200 machine learning models daily for tasks such as fraud detection, text embeddings, and classification, with an estimated 10% of the world's websites powered by Wix. The company uses Airflow's API and Python libraries to integrate it seamlessly into its ML platform, supporting on-demand DAGs, programmatic cancellation, real-time monitoring, and scalability. Wix's implementation demonstrates how Airflow can be used beyond traditional scheduling to automate machine learning workflows, offering a proven blueprint for integrating Airflow into complex machine learning systems. The upcoming Apache Airflow 3.0 release further expands the flexibility engineering teams have in running their data pipelines, and Astro, the industry-leading Airflow managed service, offers a free trial option for getting started with Airflow for MLOps or other workflow orchestration use cases.