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UST Global Machine Learning Engineer Interview Questions

The questions to prepare for a UST Global Machine Learning Engineer interview. Questions from real interview reports rank first. Updated weekly.

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1
System DesignStart here. 3 questions · ~24 min
Design Feature Drift Monitoring SystemHard

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingUST Global
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2
Machine Learning5 questions · ~40 min
Handling Class Imbalance in ClassificationMedium

Explain practical ways to train and evaluate a classifier when the target classes are highly imbalanced.

model trainingSupervised LearningClass ImbalanceUST Global
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3
Coding3 questions · ~24 min
SQL for Top Categories by RevenueHard

Tests advanced SQL skills for joining, aggregations, and ranking to answer business questions.

aggregationJoinssqlUST Global
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4
Behavioral & Leadership14 questions · ~112 min
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5
More topics6 questions · ~48 min
Precision vs Recall TradeoffEasy

Explain the difference between precision and recall, and how each reflects a different type of classification error.

Evaluation TechniquesClassificationConfusion MatrixUST Global
Synthetic Hospital Data InsightsHard

Evaluates exploratory data analysis skills and ability to extract actionable insights from healthcare-like data.

Data AnalysisinsightsUST Global
Precision vs Recall TradeoffMedium

Assesses understanding of precision-recall tradeoffs and ability to apply them to real scenarios.

PrecisionRecallUST Global
User Prompt vs System PromptMedium

Assesses understanding of prompt roles and how they affect model behavior.

UST Global
Choosing Precision vs RecallEasy

Explain precision vs recall and when business context should push you to optimize one metric over the other.

PrecisionThreshold TuningRecallUST Global
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