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Updated weekly · Last refresh Nov 11

Tiger Analytics AI Engineer Interview Questions

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

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1
CodingStart here. 12 questions · ~145 min
Digital Root Function and Second Highest Department SalaryEasy
Practice

Repeatedly sum an integer's digits until one digit remains, handling zero, single digits, and negative values.

ArrayssqlAlgorithmsTiger Analytics
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2
Machine Learning4 questions · ~48 min
Neural Network With Sigmoid vs Logistic RegressionHard

Explain why one sigmoid neuron and logistic regression represent the same binary classification function.

Neural Networksmodel selectionmodel architectureTiger Analytics
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3
Generative AI & LLMs11 questions · ~133 min
RAG Versus Fine-Tuning for Business ApplicationsHard

Explain deep learning concepts, compare RAG with fine-tuning, and connect both to a practical business use case.

Deep LearningRAGLLM EvaluationTiger Analytics
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4
NLP3 questions · ~36 min
Chatbot First Internal StepHard

Explain how a chatbot receives, normalizes, and tokenizes a user message before passing token IDs to a language model.

Language ModelsNLPTokenizationTiger Analytics
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5
System Design10 questions · ~121 min
Retrieval-Augmented Generation (RAG) OverviewHard

Explain the end-to-end RAG pipeline, including retrieval, prompt construction, generation, evaluation, and production failure handling.

factual groundingml inferencefailure modesTiger Analytics
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6
Model Evaluation4 questions · ~48 min
Evaluate RAG Retrieval and AnswersMedium

Define metrics for retrieval quality, answer quality, and hallucination in a RAG style LLM application.

HallucinationRetrievalModel MetricsTiger Analytics
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7
More topics6 questions · ~72 min
Batch vs Streaming UpdatesMedium

Evaluates design choices for data freshness and system reliability in production AI pipelines.

Data QualityStream ProcessingBatch ProcessingTiger Analytics
Optimize Slow SQL JoinsMedium

Evaluates performance troubleshooting skills using indexes and query plan analysis.

sqlperformance analysisTiger Analytics
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