PayU Machine Learning Engineer Interview Questions
The questions to prepare for a PayU Machine Learning Engineer interview. Questions from real interview reports rank first. Updated daily.
Explain how to deploy, serve, monitor, and safely roll back an ML model in a microservices architecture.
PayUDesign a feature store that keeps batch training and real-time inference consistent, fresh, reliable, and cost-effective.
PayUDesign a low-latency fraud detection system for financial transactions with streaming signals, model monitoring, and fallback controls.
PayUExplain a production ML deployment lifecycle covering packaging, serving, validation, monitoring, drift detection, and rollback.
PayUDesign a production data-drift monitoring workflow with statistical tests, alerts, retraining rules, and post-deployment model validation.
PayUExplain how bias and variance affect generalization, and how model complexity changes the balance.
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Explain how to evaluate a classifier on imbalanced data, with focus on metrics that are more informative than accuracy.
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