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CGG Machine Learning Engineer Interview Questions and Answers

Updated 19 Sep 2024

CGG Machine Learning Engineer Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Sliding window leet code style

Round 2 - Assignment 

Computer vision task. Image segmentation

Round 3 - One-on-one 

(2 Questions)

  • Q1. What was the algorithm you used in the task
  • Ans. 

    I used the Random Forest algorithm for the task.

    • Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction.

    • It is commonly used for classification and regression tasks.

    • Example: RandomForestClassifier in scikit-learn library.

  • Answered by AI
  • Q2. What are metrics you can use for this task
  • Ans. 

    Metrics for evaluating machine learning tasks

    • Accuracy

    • Precision

    • Recall

    • F1 Score

    • ROC AUC

    • Confusion Matrix

  • Answered by AI
Round 4 - Technical 

(2 Questions)

  • Q1. A presentation of a past project with followup questions
  • Q2. Some questions on text classification

Skills evaluated in this interview

CGG Interview FAQs

How many rounds are there in CGG Machine Learning Engineer interview?
CGG interview process usually has 4 rounds. The most common rounds in the CGG interview process are Coding Test, Assignment and One-on-one Round.
What are the top questions asked in CGG Machine Learning Engineer interview?

Some of the top questions asked at the CGG Machine Learning Engineer interview -

  1. What was the algorithm you used in the t...read more
  2. What are metrics you can use for this t...read more
  3. Some questions on text classificat...read more

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CGG Machine Learning Engineer Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

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