Top 39
Prep plan
Updated weekly · Last refresh Aug 30

Deloitte AI Engineer Interview Questions

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

39questions
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1
CodingStart here. 7 questions · ~69 min
Binary Tree Level Order TraversalEasy
Practice

Traverse a binary tree level by level using a queue-based breadth-first search.

QueueTreesDeloitte
Cycle Detection in GraphsMedium
Practice

Detect cycles in a disconnected directed dependency graph using iterative depth-first search and three-color state tracking.

cycle detectionDeloitte
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2
Model Evaluation3 questions · ~29 min
Choosing Precision vs RecallEasy

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

PrecisionThreshold TuningRecallDeloitte
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3
Machine Learning3 questions · ~29 min
Supervised vs Unsupervised LearningEasy
Recently asked

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffDeloitte
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4
Generative AI & LLMs8 questions · ~78 min
Design LLM Systems for Business UseMedium

Discuss how you designed an LLM system for a business use case, including evaluation, hallucination control, and cost latency tradeoffs.

Structured ExtractionPrompt EngineeringLLM EvaluationDeloitte
Choose Between RAG and Fine-TuningEasy

Compare RAG and fine-tuning, and decide when each is the better fit for an LLM product.

Deloitte
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5
System Design4 questions · ~39 min
Deploy a Personalized Ranking ModelMedium

Design a production deployment path for a personalized ranking model, with serving, feature consistency, drift handling, and experiment driven rollout.

InfrastructureFeature DriftModel ServingDeloitte
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6
Behavioral & Leadership13 questions · ~127 min
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7
More topics1 question · ~10 min
Design Scalable Pipeline InfrastructureHard

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

InfrastructureToolsQualityDeloitte
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