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Ai Software Engineer Interview Questions

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5,950 ai software engineer interview questions shared by candidates

I was asked a wide range of machine learning and AI-related questions, both theoretical and applied. The questions spanned topics such as: Supervised vs unsupervised learning Overfitting and underfitting Evaluation metrics like precision, recall, F1-score, and ROC-AUC Feature engineering and data preprocessing techniques Model selection and hyperparameter tuning Use cases for algorithms like Random Forest, XGBoost, and SVM Basics of deep learning and neural networks I was also asked to solve some practical ML problems live, which involved writing or explaining code, interpreting results, and debugging logic in a collaborative screen-sharing setup. These tasks tested my problem-solving skills, coding proficiency (especially in Python), and ability to think critically under time pressure.
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AI Analyst

Interviewed at EY

3.7★
May 25, 2025

I was asked a wide range of machine learning and AI-related questions, both theoretical and applied. The questions spanned topics such as: Supervised vs unsupervised learning Overfitting and underfitting Evaluation metrics like precision, recall, F1-score, and ROC-AUC Feature engineering and data preprocessing techniques Model selection and hyperparameter tuning Use cases for algorithms like Random Forest, XGBoost, and SVM Basics of deep learning and neural networks I was also asked to solve some practical ML problems live, which involved writing or explaining code, interpreting results, and debugging logic in a collaborative screen-sharing setup. These tasks tested my problem-solving skills, coding proficiency (especially in Python), and ability to think critically under time pressure.

Talk through a genai project you’ve done. What are technical issues you faced. How would you combat things like hallucinations, lag, cost. Focused a bit more on architecture and configurations for deployment rather than AI development/data science.
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AI Manager

Interviewed at PwC

3.7★
Jun 9, 2025

Talk through a genai project you’ve done. What are technical issues you faced. How would you combat things like hallucinations, lag, cost. Focused a bit more on architecture and configurations for deployment rather than AI development/data science.

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