Appzen Machine Learning Engineer Interview Questions
The questions to prepare for a Appzen Machine Learning Engineer interview. Questions from real interview reports rank first. Updated weekly.
Choose the right evaluation metric for an imbalanced dataset and explain why accuracy can mislead.
AppzenExplain precision, recall, F1-score, and ROC-AUC for a classification model.
AppzenExplain the self-attention formula, its tensor shapes, and how it is used inside a transformer encoder.
AppzenTests your ability to fine-tune transformer models for NER, including data prep, training, and evaluation.
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Explain how bias and variance affect generalization, and how model complexity changes the balance.
AppzenApproach for integrating a new microservice into an existing pipeline architecture with dependency management, idempotency, and data quality controls.
AppzenApproach for scaling machine learning pipelines as data volume, retraining frequency, and downstream usage grow.
AppzenTests your ability to use common data structures to improve time complexity.
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