Walk me through concept drift, data drift, and label drift. Which one actually forces a retrain?
Three drifts get casually lumped together, but they differ in detectability and in their fixes. What interviewers want is knowing which you can catch without labels and which one genuinely demands a new model.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
Three drifts get casually lumped together, but they differ in detectability and in their fixes. What interviewers want is knowing which you can catch without labels and which one genuinely demands a new model.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
