Explain your project. Why did you choose the DNNs and these specific tools. Explain the evaluation metrics you used. How did you tackled preprocessings. Explain the loss function you chose to implement.
Ml Engineer Interview Questions
2,738 ml engineer interview questions shared by candidates
Introduce yourself. What is your current project and how much time did you take to complete that project.
questions related to past experience
Given dataset and asked to build classification model
Standard questions on logistic and on machine learning
data structure and probabilistic. I had seen both questions before but the interviewer wanted proof for probabilistic and a very detailed and clean explaination of the data structure which was like a coding problem where you define the data structure and explain what each function should do.
proper definations and process of pytorch library .
What was your Machine Learning Project related questions? What were the ML algorithms used in the project?Why did you use them? Questions were asked on Deep Learning? Basic Questions were asked on AI?
Why Thoughtworks? - A basic question, but I believe they put a lot of emphasis on it
Creating an ML Model from real life like data and Measuring it's performance. Showing your own perspective on feature engineering.
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