Wadhwani AI Interview Experience for ML Engineer 2023

Mine was an on-campus interview , There were total 4 rounds ,

First Round – Online Test:

A total of 40 questions, split into 20 Aptitude and Data Interpretation and 20 Machine Learning basics questions. Covered topics like bar graphs, pie charts, and fundamental machine learning concepts. 30 out of 150 candidates were shortlisted.

Second Round – Technical Interview:

Discussed your projects for about 10-15 minutes. Covered machine learning and deep learning concepts:

Precision, Recall, F1 score

Dropout layer

Handling imbalanced data

Activation functions

The interview lasted around 40 minutes.

10 out of 30 candidates were shortlisted for the next round.

Third Round – Coding Round:

Involved filling out code snippets in a Colab link. Covered tasks like implementing the sigmoid activation function, working with a housing dataset for model building, and creating a CNN model. 6 candidates advanced to the HR round from here.

Fourth Round – HR:

The HR round was more focused on general behavioral questions.