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Ernst & Young Machine Learning Engineer Interview Questions and Answers

Updated 5 May 2023

Ernst & Young Machine Learning Engineer Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before May 2022. There were 3 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 - Group Discussion 

My projects I have worked on.

Every details about my projects machine learning algorithms I have worked on detailed discussion about the algorithms.

How to handle missing values?

How to handle outliers?

Best technique handle missing values?

Neural networks, architectures, Why and Which Neural Network you have used. Why not the other one.

Round 3 - Technical 

(2 Questions)

  • Q1. What are outliers and how to handle this?
  • Ans. 

    Outliers are data points that deviate significantly from the rest of the data. They can be handled by removing, transforming or imputing them.

    • Outliers can be detected using statistical methods like Z-score, IQR, or visual methods like box plots.

    • Removing outliers can lead to loss of information, so transforming or imputing them is preferred.

    • Transforming outliers can be done by applying mathematical functions like log, s...

  • Answered by AI
  • Q2. What is CNN? How to use it?? No of layers you have used in your case? Ensemble techniques
  • Ans. 

    CNN stands for Convolutional Neural Network, used for image classification and object recognition.

    • CNN is a type of neural network that uses convolutional layers to extract features from images.

    • It is commonly used for image classification and object recognition tasks.

    • CNNs can have multiple layers, including convolutional, pooling, and fully connected layers.

    • The number of layers used depends on the complexity of the task...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - The questions are specific to my projects they might differ in your case according to the projects you have mentioned in your resume.

All the best for your upcoming interview 🎉

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Jul 2023. There were 3 interview rounds.

Round 1 - Coding Test 

Medium leetcode and basic SQL queries

Round 2 - Assignment 

Questions related to previous Project work, ML system design, model performance metrics

Round 3 - Behavioral 

(1 Question)

  • Q1. Focus on business outcomes and metrics, problem identification and understanding a possible scenario for choosing the right approach to solve the problem using algorithm/ general rules

Interview Preparation Tips

Topics to prepare for Gartner Machine Learning Engineer interview:
  • Algorithms
  • SQL
  • System Design
Interview preparation tips for other job seekers - Focus on you're projects, have good understanding of the algorithms mentioned, have some understanding on metrics which make the algorithms valuable for the businesses
Interview experience
4
Good
Difficulty level
Easy
Process Duration
More than 8 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Explain the latest project you worked on in terms of your role in it.
Round 2 - One-on-one 

(1 Question)

  • Q1. Behavioral and situational questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Be honest with yourself, know your resume in and out. Be confident and friendly with the interviewer and try to be a little curious.
Interview experience
5
Excellent
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Jul 2023. There were 3 interview rounds.

Round 1 - Coding Test 

Medium leetcode and basic SQL queries

Round 2 - Assignment 

Questions related to previous Project work, ML system design, model performance metrics

Round 3 - Behavioral 

(1 Question)

  • Q1. Focus on business outcomes and metrics, problem identification and understanding a possible scenario for choosing the right approach to solve the problem using algorithm/ general rules

Interview Preparation Tips

Topics to prepare for Gartner Machine Learning Engineer interview:
  • Algorithms
  • SQL
  • System Design
Interview preparation tips for other job seekers - Focus on you're projects, have good understanding of the algorithms mentioned, have some understanding on metrics which make the algorithms valuable for the businesses
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Questions from the resume
Interview experience
4
Good
Difficulty level
Easy
Process Duration
More than 8 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before May 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Explain the latest project you worked on in terms of your role in it.
Round 2 - One-on-one 

(1 Question)

  • Q1. Behavioral and situational questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Be honest with yourself, know your resume in and out. Be confident and friendly with the interviewer and try to be a little curious.

Ernst & Young Interview FAQs

How many rounds are there in Ernst & Young Machine Learning Engineer interview?
Ernst & Young interview process usually has 3 rounds. The most common rounds in the Ernst & Young interview process are Resume Shortlist, Group Discussion and Technical.
How to prepare for Ernst & Young Machine Learning Engineer interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Ernst & Young. The most common topics and skills that interviewers at Ernst & Young expect are Data Science, Machine Learning, Python, Analytics and Artificial Intelligence.
What are the top questions asked in Ernst & Young Machine Learning Engineer interview?

Some of the top questions asked at the Ernst & Young Machine Learning Engineer interview -

  1. What are outliers and how to handle th...read more
  2. What is CNN? How to use it?? No of layers you have used in your case? Ensemble...read more

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Ernst & Young Machine Learning Engineer Salary
based on 11 salaries
₹4.5 L/yr - ₹15.1 L/yr
At par with the average Machine Learning Engineer Salary in India
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based on 1 review

3.0/5

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