Accenture
Global professional services company with leading capabilities in digital, cloud and security.
4 Rounds
~21 Days
Medium
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Machine Learning Engineer
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Technical
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easy
Explain the bias-variance tradeoff. How does it relate to model underfitting and overfitting?
#Model Evaluation
#Theory
Machine Learning Engineer
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Technical
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medium
We are building a fraud detection model for a banking client where fraud cases represent only 0.1% of the data. How would you handle this severe class imbalance?
#Imbalanced Data
#Classification
#Sampling
Machine Learning Engineer
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Technical
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medium
Compare Random Forest and Gradient Boosting Trees. In what scenarios would you choose one over the other?
#Ensemble Methods
#Decision Trees
Machine Learning Engineer
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Technical
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easy
Explain the difference between L1 (Lasso) and L2 (Ridge) regularization. When would you use L1 over L2?
#Regularization
#Linear Models
Machine Learning Engineer
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Technical
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easy
If a client wants to minimize false positives in a medical diagnosis model, which evaluation metric should you optimize for?
#Metrics
#Classification
Machine Learning Engineer
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Technical
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medium
Explain how you would perform cross-validation on a time-series forecasting model.
#Time Series
#Cross-Validation
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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Think Out Loud
Always explain your thought process before writing code or drawing architecture.