Persistent Systems Machine Learning Engineer Interview Questions

Choose between regression, classification, random forests, and gradient boosting for a supervised business problem.

Ensemble MethodsSupervised LearningDecision TreesPersistent Systems

Explain a practical framework for feature engineering, from raw data to validated features that improve generalization.

Cross-ValidationFeature EngineeringSupervised LearningPersistent Systems

Approach for scaling machine learning pipelines as data volume, retraining frequency, and downstream usage grow.

Data QualityInfrastructureETLPersistent Systems

Design a fraud pipeline that compares batch, streaming, and hybrid architectures for 120K tx/sec with sub-300 ms decisions and reconciled hourly tables.

Stream ProcessingETLBatch ProcessingPersistent Systems

Explain when to use precision, recall, F1, or ROC-AUC for a classification model.

PrecisionAUC-ROCRecallPersistent Systems

Assesses your production debugging mindset, data drift checks, and validation strategy.

Feature StoreFeature DriftModel ServingPersistent Systems