You have built a machine learning model that performs well offline and now needs to be deployed into production for a customer-facing product. Before launch, you need to think through what can go wrong operationally, how you would coordinate with engineering and business stakeholders, and how you would protect the user experience if the model underperforms in the real world.
What are the challenges of deploying machine learning models in production, and how would you plan for launch, monitoring, stakeholder alignment, and rollback?
