Zomato Machine Learning Engineer Interview Questions

The questions to prepare for a Zomato Machine Learning Engineer interview. Questions from real interview reports rank first. Updated daily.

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NLPStart here. 3 questions · ~24 min

Implement and evaluate content-dependent CNN positional embeddings against the fixed sinusoidal encoding from the original Transformer.

Tokenizer Granularity EffectsHard

Measure how excessive subword splitting harms sentiment classification and NER, then propose tokenizer, truncation, and label-alignment fixes.

Sentiment AnalysisNamed Entity RecognitionTokenization

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BERT Embeddings vs Word2VecHard

Implement and evaluate Word2Vec and BERT embeddings, focusing on context, out-of-vocabulary handling, pooling, and semantic similarity.

Language ModelsWord EmbeddingsTokenization

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Machine Learning4 questions · ~32 min

Design a multiclass classification architecture that supports new classes without requiring a complete model redesign.

Model Optimization for VoiceHard

Optimize Voice-to-Text and TTS inference while measuring how quantization changes latency, memory use, and speech quality.

Deep LearningModel Evaluationoptimization

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Logistic Regression With ExampleHard

Explain logistic regression through binary classification, probability calibration, coefficients, odds ratios, and decision thresholds.

interpretabilitymodel training

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Core ML Concepts ExplanationHard

Explain how CNN architecture, backpropagation, and genetic algorithms can combine in practical machine learning workflows.

Neural NetworksDeep Learningoptimization

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