Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a comprehensive podcast episode featuring Niels Bantilan, Chief Machine Learning Engineer at Union, discussing the crucial role of infrastructure in machine learning and leveraging open-source tools. Delve into topics such as scalable data processing, experiment tracking, hardware requirements, versioning tools, and monitoring systems for ML projects. Learn about orchestration tools like Flyte and how they unify various components of the ML lifecycle. Gain insights on MLOps challenges, the importance of reproducibility, and the evolution of ML infrastructure. Discover how mature companies are embracing Kubernetes and the future horizons of ML systems. Perfect for data scientists, ML engineers, and anyone interested in the intersection of machine learning and infrastructure.