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Prep plan
Updated weekly · Last refresh Aug 30

Zensar Technologies AI Engineer Interview Questions

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

43questions
~7htotal time
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1
CodingStart here. 10 questions · ~100 min
Depth-First Search ImplementationEasy
Practice

Traverse a graph or tree with DFS and return the visit order from a given start node.

RecursionTreesGraphsZensar Technologies
Two Sum with TargetEasy
Practice
Recently asked

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

Hash TablesArraysStringsZensar Technologies
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2
System Design7 questions · ~70 min
3
Model Evaluation4 questions · ~40 min
Choose a Classification ThresholdMedium

Choose a decision threshold for a classifier using precision, recall, calibration, and confusion matrix tradeoffs.

Confusion MatrixPrecisionThreshold TuningZensar Technologies
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4
Generative AI & LLMs3 questions · ~30 min
Evaluate an LLM SystemMedium

Explain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.

HallucinationPrompt EngineeringLLM EvaluationZensar Technologies
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5
Machine Learning6 questions · ~60 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 TradeoffZensar Technologies
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6
Behavioral & Leadership10 questions · ~100 min
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7
More topics3 questions · ~30 min
Explain Tokenization in NLPEasy

Explain how tokenization splits text for NLP models and why the choice affects downstream performance.

Language ModelsText ClassificationTF-IDFZensar Technologies
Choosing Batch vs Real TimeHard

Evaluate when a pipeline should use stream processing versus scheduled batch based on latency, cost, complexity, and data quality needs.

Stream ProcessingBatch ProcessingDependenciesZensar Technologies
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