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Updated weekly · Last refresh Aug 30

Ntt Data Europe & Latam AI Engineer Interview Questions

The questions to prepare for a Ntt Data Europe & Latam AI Engineer interview. Questions from real interview reports rank first. Updated weekly.

30questions
~5htotal time
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1
CodingStart here. 6 questions · ~59 min
Reverse Linked ListEasy
Practice

Reverse a singly linked list iteratively and recursively in Python.

RecursionLinked ListsbasicsNtt Data Europe & Latam
Find Two Sum IndicesEasy
Practice

Use a hash map to find two array elements that sum to a target in O(n) time.

Hash TablesArraysSortingNtt Data Europe & Latam
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2
Generative AI & LLMs8 questions · ~79 min
Explain Vector Search in RAGMedium

Design a grounded document Q&A system and explain how vector search improves retrieval quality, latency, and hallucination control in RAG.

Vector SearchPrompt EngineeringRAGNtt Data Europe & Latam
Hallucinations in Creative vs Factual PromptsMedium

Compare how to define, evaluate, and reduce hallucinations for creative generation versus factual retrieval grounded answers.

HallucinationPrompt EngineeringLLM EvaluationNtt Data Europe & Latam
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3
Machine Learning5 questions · ~50 min
Supervised vs Unsupervised LearningEasy

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

Unsupervised LearningFeature EngineeringBias-Variance TradeoffNtt Data Europe & Latam
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4
System Design3 questions · ~30 min
Sub-100ms Real-Time RecommendationsHard

Tests end-to-end system design for low-latency AI inference in an enterprise services context.

RetrievalModel ServingRecommendation SystemsNtt Data Europe & Latam
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5
Behavioral & Leadership6 questions · ~59 min
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6
More topics2 questions · ~20 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 TuningNtt Data Europe & Latam
Zero-Downtime Continuous RetrainingHard

Tests your MLOps design skills, including safe releases and continuous delivery for ML.

OrchestrationAutomationdeploymentNtt Data Europe & Latam
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