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Digitize Brand Hub ml engineer Interview Questions and Answers for Experienced

Updated 11 Oct 2022

Digitize Brand Hub ml engineer Interview Experiences for Experienced

1 interview found

ml engineer Interview Questions & Answers

user image Anonymous

posted on 11 Oct 2022

I applied via Referral and was interviewed before Oct 2021. 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 - Technical 

(1 Question)

  • Q1. Related to Machine learning and python basoc questions
Round 3 - Technical 

(1 Question)

  • Q1. In second round will be codeing related python like inheritance , decorator, opps depends.
Round 4 - HR 

(1 Question)

  • Q1. Like if you clear the technical round then most propably ur selcted .

Interview Preparation Tips

Interview preparation tips for other job seekers - Guys python basic and machine learning alghorithm , and just chcek formula like GDA.

Interview questions from similar companies

I applied via Naukri.com and was interviewed in Sep 2021. There were 2 interview rounds.

Round 1 - Assignment 

Answer assignment

Round 2 - Case Study 

Interview Preparation Tips

Interview preparation tips for other job seekers - no tips just do your best and have faith
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Difference between absolute xpath and relative xpath
  • Ans. 

    Absolute xpath specifies the complete path from the root element to the desired element, while relative xpath specifies the path relative to the current element.

    • Absolute xpath starts with a single forward slash (/) and is more specific.

    • Relative xpath starts with a double forward slash (//) and is more flexible.

    • Absolute xpath is more prone to breaking if the structure of the page changes.

    • Relative xpath is easier to main...

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Spark architecture.
  • Q2. Narrow and wide transformations

I applied via Referral and was interviewed before Oct 2021. 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 - Technical 

(1 Question)

  • Q1. Related to Machine learning and python basoc questions
Round 3 - Technical 

(1 Question)

  • Q1. In second round will be codeing related python like inheritance , decorator, opps depends.
Round 4 - HR 

(1 Question)

  • Q1. Like if you clear the technical round then most propably ur selcted .

Interview Preparation Tips

Interview preparation tips for other job seekers - Guys python basic and machine learning alghorithm , and just chcek formula like GDA.
Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Trainning on Yolov9
  • Q2. Trainning a Multi-head Yolov9 models for clothes detection
  • Ans. 

    Training a Multi-head Yolov9 model involves optimizing the model architecture for detecting clothes in images.

    • Utilize transfer learning with pre-trained Yolov9 model for faster convergence

    • Fine-tune the model on a dataset of clothes images to improve detection accuracy

    • Adjust hyperparameters such as learning rate, batch size, and optimizer for optimal performance

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Utilize Yolov9 and Try to implement the custom dataset

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

DSA - binary search, run code on test cases

Round 2 - Case Study 

LLM, GenAI, Chatbots

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

(2 Questions)

  • Q1. Self Introduction
  • Q2. Explanation of business use case
  • Ans. 

    Using machine learning to predict customer churn in a telecom company

    • Identify patterns in customer behavior data

    • Build a predictive model to forecast which customers are likely to churn

    • Implement strategies to retain at-risk customers

    • Measure the effectiveness of the model in reducing churn rate

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. Explain about the projects you have worked on
  • Ans. 

    I have worked on projects involving natural language processing, computer vision, and recommendation systems.

    • Developed a sentiment analysis model using NLP techniques to analyze customer reviews

    • Implemented a facial recognition system using CNN for security purposes

    • Built a movie recommendation system based on collaborative filtering algorithm

  • Answered by AI
  • Q2. Python coding on the finding the prime numbers in a range
  • Ans. 

    Python code to find prime numbers in a given range

    • Iterate through the range of numbers

    • Check if each number is divisible by any number other than 1 and itself

    • If not divisible, then it is a prime number

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Introduce yourself
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Relate to project

Interview Preparation Tips

Interview preparation tips for other job seekers - @ Bhimansen Purohit and Karthik Shastry. These two people, you can see there profiles in LinkedIn company profiles.

Interview panels join late, and they only spend 5 to 6 minutes. They are not at all interested to taking an interview.
@Bhimasen Purohit and Karthik shastry. Both the guys are technical leads. They don't know how to take an interview. They are eagerly waiting to leave the interview.

If you are not interested in taking an interview, inform the HR department; they change the interview panel. Don't play with student life. who play with student life. Definite karma will it you one or other way.

Thank you for Hr department

Digitize Brand Hub Interview FAQs

How many rounds are there in Digitize Brand Hub ml engineer interview for experienced candidates?
Digitize Brand Hub interview process for experienced candidates usually has 4 rounds. The most common rounds in the Digitize Brand Hub interview process for experienced candidates are Technical, Resume Shortlist and HR.
What are the top questions asked in Digitize Brand Hub ml engineer interview for experienced candidates?

Some of the top questions asked at the Digitize Brand Hub ml engineer interview for experienced candidates -

  1. In second round will be codeing related python like inheritance , decorator, op...read more
  2. Like if you clear the technical round then most propably ur selcte...read more
  3. Related to Machine learning and python basoc questi...read more

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