Examples of DDD applied to Machine Learning

I have started reading Architecture Patterns with Python, even though the examples are great and make a lot of sense, I haven't found a straightforward way to apply these concepts to a machine learning project. Are there any resources (books, GitHub repositories, etc.) that give specifics on implementing DDD concepts on a machine learning project?