Data/ML/AIHigh signal
Model Drift
Also written as Data Drift, Concept Drift
When a deployed model's real-world performance degrades over time because the data it now sees no longer matches the data it was trained on — the world changed, but the model didn't.
Think of it like
Like a weather forecaster still using last decade's climate patterns to predict tomorrow — the old model quietly stops matching reality.
Junior or senior?
Junior sounds like
Can define model drift without describing how to catch it.
Senior sounds like
Can describe how their team actually detected it in production and what triggered a retrain.
Ask them
“How did your team detect that a model had drifted in production, and what triggered a retrain?”