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Updated weekly · Last refresh Oct 17

Deloitte AI Engineer Interview Questions

The questions to prepare for a Deloitte AI Engineer interview. Questions from real interview reports rank first. Updated daily.

50questions
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1
System DesignStart here. 14 questions · ~155 min
Processing Structured and Unstructured DataHard

Explain how to ingest, transform, represent, serve, and monitor unstructured data in an ML system.

data securitydata ingestionml inferenceDeloitte
Bagging vs BoostingMedium

Explain bagging and boosting, compare their training strategies, and identify suitable base models for each.

ml inferencecomputational costarchitecture patternsDeloitte
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2
Coding10 questions · ~111 min
Tuning LLM OutputsHard
Practice

Choose temperature and token settings with the highest prompt accuracy, breaking ties deterministically.

ArraysAlgorithmsedge casesDeloitte
Refactor a PyTorch Vision ScriptHard
Practice

Correctly aggregate weighted training and validation metrics from PyTorch batches without mixing loaders.

backpropagationaggregationclean codeDeloitte
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3
Generative AI & LLMs12 questions · ~133 min
Context Windows in Long InputsMedium
Recently asked

Explain context windows, tokenization, and the main technical issues with long-context LLM inputs, plus practical ways to handle them.

long contextcontext windowLLM EvaluationDeloitte
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4
Model Evaluation5 questions · ~55 min
Choosing Precision vs RecallEasy
Recently asked

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

PrecisionThreshold TuningRecallDeloitte
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5
Machine Learning5 questions · ~55 min
Handling Class Imbalance in ClassificationMedium
Recently asked

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

model trainingSupervised LearningClass ImbalanceDeloitte
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6
Behavioral & Leadership3 questions · ~33 min
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7
More topics1 question · ~11 min
Design Scalable Pipeline InfrastructureHard
Recently asked

Design the core pipeline infrastructure for a new project, with attention to orchestration, data quality, idempotency, and future scale.

InfrastructureToolsQualityDeloitte
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