Capgemini Machine Learning Engineer Interview Questions
The questions to prepare for a Capgemini Machine Learning Engineer interview. Questions from real interview reports rank first. Updated daily.
Build an imbalanced binary classifier for payment fraud detection using cost-sensitive learning, threshold tuning, and precision-recall evaluation.
CapgeminiExplain how to train and evaluate a classifier when the positive class is rare and accuracy is misleading.
CapgeminiBest practices for reproducible dataset and model versioning in shared ML pipelines.
CapgeminiDesign an end-to-end product recommendation system for a large e-commerce marketplace with strict latency and freshness needs.
CapgeminiCalculate averages for every fixed-size window in a price series using a sliding window in O(n) time.
CapgeminiApproach for diagnosing a sudden production accuracy drop, isolating root cause, and selecting the right fix.
CapgeminiFind the k most frequent elements in an array using counting and a heap or bucket strategy.
CapgeminiApproach for continuously monitoring a deployed model and keeping performance stable as data changes.
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