Mostly resume-based (helps if you have good ML projects)
Software Engineer Machine Learning Interview Questions
8,226 software engineer machine learning interview questions shared by candidates
They focused about Machine Learning Models, especially Decision Trees and Random Forest
The questions were about machine learning algorithms
The hr asked me 6 times or more about my expected salary
Can you explain the concept of Cross-Validation? What is the idea behind boosting?
What is the difference between supervised and unsupervised learning? What is overfitting, and how can you prevent it? What is the purpose of splitting a dataset into training, validation, and test sets? How do you evaluate a classification model? Name some common metrics.
Describe model training life cycle. What tools would you use for model monitoring and testing. Questions about MLOps with Azure mainly.
Name a time when you were working on a team and had a difficult team member.
what makes it different in bcg
It was mostly a conversational interview where the recruiter asked about the technologies I used and if I was familiar with the technologies they are planing to use.
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