Topics covered generic software development, software architecture, machine learning theory, previous software and research experience
Ml Engineer Interview Questions
2,738 ml engineer interview questions shared by candidates
To estimate future number of downloads based on graphs
data structures, running time and complexity in different situations and then gave me a tree problem to solve.
1. Explain the concept of overfitting in machine learning and how it can be addressed. 2. Discuss the differences between supervised and unsupervised learning algorithms. 3. How would you handle imbalanced datasets in machine learning projects? 4. Describe the process of feature selection and its importance in model development. 5. Have you worked with any deep learning frameworks? If so, which ones and what was your experience like? 6. How do you evaluate the performance of a machine learning model? 7. Can you explain the bias-variance tradeoff and its significance in model training? 8. Discuss regularization techniques in machine learning and when they should be used. 9. Have you implemented any natural language processing (NLP) algorithms? If yes, explain the approach and challenges faced. 10. How would you approach a project with limited labeled data for training a machine learning model?
1.explan transformer. 2.write the confusion matrix code
They asked about random forest ml algorithm and why it's most common used algo.
My understanding and experience in end to end ML architecture.
They asked me two leetcode easy questions?1st one is given an array we should print true if all are distinct and false otherwise.
Describe ai projects, ai model training scenario and what will you look for to solve it.
Basic questions about classical ML techniques.
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