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Chetu Machine Learning Engineer Interview Questions and Answers

Updated 9 Feb 2024

Chetu Machine Learning Engineer Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Hard
Process Duration
2-4 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Jan 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

You can get the information and answer in Google

Round 2 - Technical 

(3 Questions)

  • Q1. Xg boost, naive Bayes algorithm, standard deviation formula and detailed information about that
  • Q2. What is xg boost All about naive Bayes algorithm Standard deviations and the formula
  • Q3. What is the Byes rules and there in deep
  • Ans. 

    Bayes' rule is a fundamental concept in probability theory that allows us to update our beliefs based on new evidence.

    • Bayes' rule is named after Thomas Bayes, an 18th-century mathematician.

    • It is also known as Bayes' theorem or Bayes' law.

    • Bayes' rule calculates the probability of an event based on prior knowledge and new evidence.

    • It is commonly used in machine learning and statistical inference.

    • The formula for Bayes' ru...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be well prepared very tough interviewers

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Train a Decision Tree based on dataset provided?
  • Ans. 

    Train a Decision Tree based on provided dataset.

    • Preprocess the dataset by handling missing values and encoding categorical variables.

    • Split the dataset into training and testing sets.

    • Train the Decision Tree model on the training set.

    • Evaluate the model's performance on the testing set using metrics like accuracy or F1 score.

  • Answered by AI
  • Q2. How can you do feature selection?
  • Ans. 

    Feature selection can be done using techniques like filter methods, wrapper methods, and embedded methods.

    • Filter methods involve selecting features based on statistical measures like correlation, chi-squared test, etc.

    • Wrapper methods use a specific machine learning algorithm to evaluate the importance of features through iterative selection.

    • Embedded methods incorporate feature selection within the model training proces...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Hacker Rank which will contain some MCQ and 1 python problem

Round 2 - Technical 

(1 Question)

  • Q1. Based Machine Learning , NLP and Gen AI
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Jul 2022. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - One-on-one 

(2 Questions)

  • Q1. About the assignment
  • Q2. Writing assignment was asked
Round 3 - Technical 

(1 Question)

  • Q1. Softwares that i am aware of
  • Ans. 

    I am aware of various e-learning authoring tools such as Articulate Storyline, Adobe Captivate, and Camtasia.

    • Articulate Storyline

    • Adobe Captivate

    • Camtasia

  • Answered by AI
Round 4 - Discussio n 

(1 Question)

  • Q1. Html related questions were asked

Interview Preparation Tips

Interview preparation tips for other job seekers - Excellent company and good team

I applied via Recruitment Consultant and was interviewed before Aug 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Give a facilitation demo.
  • Ans. 

    I would begin by introducing myself and the purpose of the facilitation. Then, I would engage the participants in an interactive activity to encourage participation and collaboration.

    • Introduce myself and the purpose of the facilitation

    • Engage participants in an interactive activity

    • Encourage participation and collaboration

    • Provide opportunities for reflection and feedback

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Don't bluff. Be yourself.
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
2-4 weeks
Result
Not Selected

I applied via Referral and was interviewed in Dec 2024. There was 1 interview round.

Round 1 - Coding Test 

Basic data structure coding.

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected
Round 1 - Aptitude Test 

ML DL Question plus 1 dsa question

Round 2 - Technical 

(1 Question)

  • Q1. It was technical interview based on projects plus stats, ml aggorithms, dl alhoriths , intutions behind them, maths behind all ml algorithms etc.

Interview Preparation Tips

Interview preparation tips for other job seekers - deep dive maths behind all ml algorithms , starting from linear , logistics to k nn , dbscan, k mean hyperparameter tuning , l1 l2 regularisation bagging boosting , neural network, cnn, rnn
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Train a Decision Tree based on dataset provided?
  • Ans. 

    Train a Decision Tree based on provided dataset.

    • Preprocess the dataset by handling missing values and encoding categorical variables.

    • Split the dataset into training and testing sets.

    • Train the Decision Tree model on the training set.

    • Evaluate the model's performance on the testing set using metrics like accuracy or F1 score.

  • Answered by AI
  • Q2. How can you do feature selection?
  • Ans. 

    Feature selection can be done using techniques like filter methods, wrapper methods, and embedded methods.

    • Filter methods involve selecting features based on statistical measures like correlation, chi-squared test, etc.

    • Wrapper methods use a specific machine learning algorithm to evaluate the importance of features through iterative selection.

    • Embedded methods incorporate feature selection within the model training proces...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via campus placement at National Institute of Technology (NIT), Raipur and was interviewed before Mar 2023. There were 2 interview rounds.

Round 1 - Aptitude Test 

Consist 39 mcq 1 dsa

Round 2 - Technical 

(1 Question)

  • Q1. Started with resume discussed project then then went into deep concept of ml model and their math intution behind them, stats , hyperparameter tuning, accuracy score, r2 f1, precison recall, regularisa...
Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Oct 2022. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all tips
Round 2 - Case Study 

Given two problem statements based on OCR and NLP application

Round 3 - Technical 

(1 Question)

  • Q1. Main focus is on OCR technologies and how they work. NLP is secondary

Chetu Interview FAQs

How many rounds are there in Chetu Machine Learning Engineer interview?
Chetu interview process usually has 2 rounds. The most common rounds in the Chetu interview process are Aptitude Test and Technical.
What are the top questions asked in Chetu Machine Learning Engineer interview?

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

  1. What is the Byes rules and there in d...read more
  2. What is xg boost All about naive Bayes algorithm Standard deviations and the f...read more
  3. Xg boost, naive Bayes algorithm, standard deviation formula and detailed inform...read more

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