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AI/ML Engineer Interview Experience - India

July 25, 2023
Positive ExperienceGot Offer

Process

The hiring process was quick and the interview was easy. The interviewer was super nice and patient. I guess the polite and calm behavior of the interviewer made the interview process quite easy.

Questions

Difference between supervised and unsupervised learning.

Example of supervised and unsupervised.

Difference between logistic regression and linear regression, and their examples.

The accuracy metrics used for logistic regression and linear regression.

What is SVM?

What are stemming and lemmatization?

What is NER and how to custom train a NER model?

Difference between KNN and k-means.

What are decision trees and random forest?

What is a confusion matrix, and what do true positive and false positive mean?

Difference between list and tuple.

Difference between iloc and loc.

How to read an Excel file with sheet name 2 in pandas.

Define a function to get the sum of 2 numbers.

Questions asked on the models I have worked on and the reason I decided to go with those models.

TensorFlow and Keras models.

Other 2-3 easy Python coding questions.

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Interview Statistics

The following metrics were computed from 19 interview experiences for the Accenture AI/ML Engineer role in India.

Success Rate

37%
Pass Rate

Accenture's interview process for their AI/ML Engineer roles in India is fairly selective, failing a large portion of engineers who go through it.

Experience Rating

Positive68%
Neutral16%
Negative16%

Candidates reported having very good feelings for Accenture's AI/ML Engineer interview process in India.

Accenture Work Experiences