Top 31
Prep plan
Updated weekly · Last refresh Sep 25

Lendbuzz Machine Learning Engineer Interview Questions

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

31questions
~5htotal time
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1
CodingStart here. 8 questions · ~78 min
Optimize Duplicate Detection in ArraysEasy
Practice

Optimize duplicate detection in an integer array using a hash set instead of O(n^2) pairwise comparisons.

SearchingSortingGreedyLendbuzz
Maximum Subarray SumEasy
Practice

Compute the largest sum of any contiguous subarray using Kadane's algorithm in O(n) time.

Dynamic ProgrammingArraysGreedyLendbuzz
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2
Machine Learning9 questions · ~87 min
XGBoost vs Deep Learning TabularMedium

Compare XGBoost and deep learning for tabular behavioral data, focusing on feature handling, generalization, and practical model selection.

Ensemble MethodsFeature EngineeringDeep LearningLendbuzz
Handle Highly Imbalanced ClassesMedium

Build a classifier for a highly imbalanced dataset and choose training and evaluation methods that surface rare positives.

Cross-ValidationFeature EngineeringSupervised LearningLendbuzz
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3
System Design3 questions · ~29 min
Design a Real-Time Prediction PlatformHard

Design a low-latency ML system for real-time predictions with online features, model serving, and monitoring.

Feature StoreFeature DriftModel ServingLendbuzz
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 ServingLendbuzz
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4
Statistics & Probability5 questions · ~49 min
Feature Statistical SignificanceMedium

Tests ability to assess feature relevance and avoid misleading signals.

predictive modelingHypothesis TestingStatistical SignificanceLendbuzz
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5
Behavioral & Leadership5 questions · ~49 min
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6
More topics1 question · ~10 min
Unstructured Transaction Feature PipelineMedium

Tests data engineering and ML feature pipeline design for messy financial inputs.

Data QualityETLLendbuzz
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