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Updated weekly · Last refresh Aug 30

Ericsson AI Engineer Interview Questions

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

18questions
~3htotal time
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1
NLPStart here. 5 questions · ~43 min
Classify E-commerce Reviews by SentimentMedium

Build a sentiment analysis pipeline to classify noisy e-commerce reviews into positive, neutral, and negative classes with strong negative recall.

Text ClassificationSentiment AnalysisTokenizationEricsson
Extract Insights From Unstructured TextMedium

Build an NLP pipeline that cleans raw text, extracts entities and themes, and applies ML models to generate structured insights.

Text ClassificationTF-IDFNamed Entity RecognitionEricsson
Classify Customer Review SentimentEasy

Build a sentiment classifier for customer reviews using clean preprocessing and a supervised text model.

Text ClassificationSentiment AnalysisTokenizationEricsson
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2
Machine Learning3 questions · ~26 min
Experience with ML TechniquesEasy

Describe your hands-on experience applying supervised learning, feature engineering, and model evaluation in real projects.

Cross-ValidationFeature EngineeringSupervised LearningEricsson
Missing and Imbalanced DataMedium

Tests your ML data-preprocessing strategy for robust classification under real-world issues.

Cross-ValidationFeature EngineeringSupervised LearningEricsson
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3
Coding8 questions · ~69 min
OOP for ML Pipeline DesignMedium

Tests OOP understanding and how you apply it to design maintainable ML systems.

Hash TablesArraysGreedyEricsson
OOP Structured ML PipelineMedium

Tests your ability to design modular ML pipelines that are testable and maintainable.

Hash TablesArraysGreedyEricsson
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4
More topics2 questions · ~17 min
Evaluate Sentiment Classification SuccessMedium

Tests your understanding of evaluation metrics and validation strategy for sentiment models.

F1 ScorePrecisionRecallEricsson
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The finish line: interview-readyComplete all 18 questions to finish this plan.