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Updated weekly · Last refresh Oct 17

Visa Machine Learning Engineer Interview Questions

The questions to prepare for a Visa Machine Learning Engineer interview. Questions from real interview reports rank first. Updated daily.

30questions
~5htotal time
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1
CodingStart here. 4 questions · ~37 min
Sliding Window Anomaly DetectorHard
Practice

Maintain a moving average over a fixed-size window and flag anomalies using a z-score threshold in one pass.

Hash TablesQueueArraysVisa
Longest Common SubsequenceHard
Practice

Use dynamic programming to reconstruct a longest common subsequence shared by two Meta content strings.

RecursionDynamic ProgrammingStringsVisa
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2
Model Evaluation3 questions · ~28 min
Detect Production Drift in ModelsHard

How to detect data drift and concept drift in production using metric shifts, control charts, and calibration checks.

CalibrationAUC-ROCThreshold TuningVisa
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3
System Design5 questions · ~47 min
Design Real-Time Fraud Risk ScoringHard

Design a real-time fraud scoring system for card transactions with strict latency, delayed labels, and high availability requirements.

Feature StoreFeature DriftModel ServingVisa
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4
Pipelines3 questions · ~28 min
Top Active Merchants SQLMedium

Tests SQL proficiency for time-windowed analytics on payment transaction data.

data integrationsql tuningVisa
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5
Behavioral & Leadership10 questions · ~93 min
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6
More topics5 questions · ~47 min
Assess Risks in a GenAI AssistantHard

Evaluate and mitigate prompt injection, data leakage, and compliance risks in a consultant-facing generative AI tool.

Language ModelsRisk AssessmentUse CasesVisa
Boosting vs BaggingMedium

Explain how boosting and bagging differ, and when each ensemble method is preferable.

Ensemble MethodsBias-Variance TradeoffDecision TreesVisa
Bias Measurement in Credit ScoringHard

Assess bias in a credit scoring model and choose statistical methods to measure, test, and reduce it.

SamplingBiasRegressionVisa
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