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Prep plan
Updated weekly · Last refresh Oct 17

EXL Service Philippines Machine Learning Engineer Interview Questions

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

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1
CodingStart here. 3 questions · ~24 min
2
NLP4 questions · ~33 min
Explain Transformer Architecture BasicsEasy

Explain the transformer architecture and why it became a core building block for modern NLP systems.

Neural NetworksLanguage ModelsDeep LearningEXL Service Philippines
NLP Preprocessing and JoinsMedium

Assesses practical NLP preprocessing knowledge and your ability to combine SQL and Python for data preparation.

TokenizationEXL Service Philippines
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3
Machine Learning9 questions · ~73 min
Feature Selection in High DimensionsMedium

Select and interpret features in high-dimensional system data without being misled by noise, redundancy, or correlated variables.

Cross-ValidationFeature EngineeringRegularizationEXL Service Philippines
Feature Engineering for Sparse DataMedium

Explain how to engineer features for high-dimensional sparse data while controlling overfitting, dimensionality, and training cost.

data preprocessingFeature Engineeringsparse datasetsEXL Service Philippines
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4
Pipelines4 questions · ~33 min
Handle PySpark Data SkewMedium

Approach for detecting and mitigating skew in PySpark pipelines using partitioning, join strategies, and runtime monitoring.

Data Qualitypysparkdata skewnessEXL Service Philippines
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5
System Design5 questions · ~41 min
Low-Latency ML REST API DesignHard

Tests system design choices for low-latency model serving in production.

api designlow latencyModel ServingEXL Service Philippines
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6
Behavioral & Leadership5 questions · ~41 min
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7
More topics2 questions · ~16 min
Reliability, Scalability, and Security for MLHard

Tests production engineering practices for secure, scalable ML systems.

cloud infrastructurescalabilitySecurityEXL Service Philippines
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