Describe pipeline of current machine learning product you're building. How do you assure persistence, resiliency etc architectural questions. How do you learn from both streaming and offline data in your pipeline. How do you assure reproducibility in your experimentation. How do you document processes and onboard new engineers. How do you use kafka?
