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Centre for Development of Advanced Computing Machine Learning Engineer Interview Questions and Answers

Updated 18 Aug 2023

Centre for Development of Advanced Computing Machine Learning Engineer Interview Experiences

1 interview found

Machine Learning Engineer Interview Questions & Answers

user image T S S KRISHNA CHOUTIPALLI

posted on 18 Aug 2023

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

I applied via CDAC.in and was interviewed before Aug 2022. There were 2 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 

(2 Questions)

  • Q1. Ensemble technique.
  • Q2. Projects done by you.

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn basics properly.

Interview questions from similar companies

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

(2 Questions)

  • Q1. Python question on list comprehension
  • Q2. Python related questions
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Oct 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 - Aptitude Test 

OOP, aptitude, DSA, coding question-2 mcq and 1 code based

Round 3 - Technical 

(4 Questions)

  • Q1. Pythons-OOP,DSA, basic questions
  • Q2. Polymorphism, inheritance
  • Q3. OOPs, 4 pillars of OOPs
  • Ans. 

    OOPs stands for Object-Oriented Programming and its 4 pillars are Inheritance, Encapsulation, Abstraction, and Polymorphism.

    • Inheritance allows a class to inherit properties and behavior from another class.

    • Encapsulation restricts access to certain components of an object, protecting its integrity.

    • Abstraction hides complex implementation details and only shows the necessary features.

    • Polymorphism allows objects to be trea...

  • Answered by AI
  • Q4. Dsa and python- Arrays,Stack, linked list,etc
Round 4 - Technical 

(1 Question)

  • Q1. HR and technical question about ml, dl, cut the cake in 8 parts how will you do it.

Interview Preparation Tips

Interview preparation tips for other job seekers - Brush on basics and be confident, Mostly they see confidence and how you approach things.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed in Jun 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Focus more on python funda,ental and spark

Round 2 - Assignment 

They will ask more on datarbcisk related stuff

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare well on python and prepare databricks adf and devops
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via campus placement at Maharashtra Institute of Technology, Pune and was interviewed before Sep 2022. There were 4 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 - Aptitude Test 

Questions on Quantitative, English and Logic.
Next section comprised of questions on SQL, OS, Java, HTML/CSS.
Last section had questions related to python and Machine learning and also couple of Coding questions whose level was Easy to moderate.

Round 3 - Technical 

(1 Question)

  • Q1. Name some evaluation metrics? What is precision and recall? Give some examples. What is Entropy and Gini impurity What are bagging techniques What are boosting techniques Difference between validation and ...
  • Ans. 

    Explanation of evaluation metrics, precision, recall, entropy, Gini impurity, bagging, boosting, validation vs test data, LSTM, GRU, K-means clustering, and importing CSV datasets.

    • Evaluation metrics: used to measure the performance of machine learning models (e.g., accuracy, precision, recall, F1 score)

    • Precision: ratio of true positive predictions to the total predicted positives (TP / (TP + FP))

    • Recall: ratio of true p...

  • Answered by AI
Round 4 - HR 

(1 Question)

  • Q1. Tell me about yourself Where do you see yourself in next 5 years Why you want to join our company Soft skill questions like leadership, innovative thinker, problem solver etc. which are mentioned in the re...

Interview Preparation Tips

Interview preparation tips for other job seekers - The technical round of ML purely focuses on the basics of ML and some moderate level questions if you answer the basic questions. You can expect some basic questions on basic ML libraries as well.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via LinkedIn and was interviewed in May 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all tips
Round 2 - Coding Test 

It was 1 hour coding test with 2 questions. One was easy and another was medium level coding question.

Round 3 - Technical 

(3 Questions)

  • Q1. Few SQL Queries
  • Q2. Explain null hypothesis and p-value in terms of probability
  • Ans. 

    Null hypothesis is a statement that assumes no relationship or difference between variables. P-value is the probability of obtaining results as extreme as the observed data, assuming the null hypothesis is true.

    • Null hypothesis is a statement that assumes no effect or relationship between variables

    • P-value is the probability of obtaining results as extreme as the observed data, assuming the null hypothesis is true

    • Null hy...

  • Answered by AI
  • Q3. Explain Linear and Logistic Regression
  • Ans. 

    Linear regression is used for predicting continuous numerical values, while logistic regression is used for predicting binary categorical values.

    • Linear regression models the relationship between a dependent variable and one or more independent variables using a linear equation.

    • Logistic regression models the probability of a binary outcome using a logistic function.

    • Linear regression is used for tasks like predicting hou...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Tiger Analytics Machine Learning Engineer interview:
  • SQL
  • Machine Learning
  • Data Science
  • Python
Interview preparation tips for other job seekers - Prepare for data science related questions and basic machine learning algorithms (Decision tree, PCA, etc.). Also prepare for SQL queries.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Superset and was interviewed before May 2022. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Actually after internship we will have evaluation.
  • Ans. So in evaluation they decide whether to continue or to extend your 4 month of internship. I got converted into FTE after 4 months.
  • Answered Anonymously
  • Q2. You need to showcase what u did in the internship As I converted to FTE from internship
  • Ans. U need to submit ur trakstar(evaluation) And u need to keep. Meet with mentor and they will rate you
  • Answered Anonymously

Interview Preparation Tips

Topics to prepare for Quantiphi Analytics Solutions Private Limited Machine Learning Engineer interview:
  • Complete the internship
  • Machine Learning
  • Deep Learning
Interview preparation tips for other job seekers - So they covert you from internship to FTE after 4 months.

If they feel u need more improvement they will extend ur internship period.

Try to complete your task in internship, learn faster.

Be proactive with mentors.

Participate in all activities in org.

Take this for learning and applying what u have learned.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Jun 2023. There was 1 interview round.

Round 1 - Coding Test 

4 technical questions, 1 python code, 2 SQL, 1 Spark

Interview Preparation Tips

Topics to prepare for Tiger Analytics Machine Learning Engineer interview:
  • Spark
  • SQL
  • Python
  • Hadoop
  • Hive
Interview preparation tips for other job seekers - Be confident and good in your skills

I applied via Referral and was interviewed in May 2021. There were 4 interview rounds.

Interview Questionnaire 

3 Questions

  • Q1. Explain the transformer architecture and positional encoders?
  • Ans. 

    Transformer architecture is a neural network architecture used for natural language processing tasks. Positional encoders are used to encode the position of words in a sentence.

    • Transformer architecture is based on the self-attention mechanism.

    • It consists of an encoder and a decoder.

    • Positional encoders are added to the input embeddings to encode the position of words in a sentence.

    • They are computed using sine and cosine...

  • Answered by AI
  • Q2. Explain about project mentioned in resume?
  • Q3. Mostly NLP related questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Stick to basics and explain projects in details

Skills evaluated in this interview

I was interviewed in Jun 2017.

Interview Questionnaire 

3 Questions

  • Q1. Tell me about about yourself?
  • Q2. Tell about your academic or your hands on projects in which you are involved?
  • Q3. Expected CTC?

Interview Preparation Tips

Round: Resume Shortlist
Experience: This round was "General Introduction Round" in which we have to introduce about our self-tell about hobbies and our family background and some lines about our hometown.
Tips: Just be confident and speak loudly and boldly.

Round: Test
Experience: It was online coding round via skype in which 5 questions were given out of which we have to do any 2.
Tips: "More you will practice more you will learn".
Duration: 20 minutes
Total Questions: 5

Round: Technical + HR Interview
Experience: This round was a combo with both technical and job questions. Questions were asked from my resume, basics questions in technical, general definitions and major questions from my project.
Tips: Specifically for Engineers searching for Data Scientist or Machine Learning based jobs, focus on your projects have done and do involve in the projects either on GitHub or haggle.
Clear your basic concepts and have a good knowledge of programming language like Python, R etc.

College Name: IIIT Bhubaneswar

Centre for Development of Advanced Computing Interview FAQs

How many rounds are there in Centre for Development of Advanced Computing Machine Learning Engineer interview?
Centre for Development of Advanced Computing interview process usually has 2 rounds. The most common rounds in the Centre for Development of Advanced Computing interview process are Resume Shortlist and Technical.

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