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Prep plan
Updated weekly · Last refresh Oct 17

Ericsson AI Engineer Interview Questions

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

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1
NLPStart here. 5 questions · ~43 min
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
Sentiment Logic for Fire Stick ReviewsHard

Tests your ability to define an end-to-end ML approach for sentiment-related NLP tasks.

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
Troubleshoot Underperforming ModelMedium

Tests debugging skills for ML performance issues, including data, features, and evaluation.

Hyperparameter TuningCross-ValidationBias-Variance TradeoffEricsson
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3
Coding6 questions · ~52 min
Clean Maintainable AI CodeEasy

Tests software engineering practices for building reliable AI systems.

Hash TablesArraysGreedyEricsson
Array Manipulation AlgorithmEasy

Tests algorithmic thinking and ability to reason through array-based problems.

ArraysSortingTwo PointersEricsson
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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 16 questions to finish this plan.