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Blazeclan Technologies Machine Learning Engineer Interview Questions and Answers

Updated 12 Jul 2022

10 Interview questions

A Machine Learning Engineer was asked
Q. What are some metrics for regression problems?
Ans. 

Metrics for regression problems

  • Mean Squared Error (MSE)

  • Root Mean Squared Error (RMSE)

  • Mean Absolute Error (MAE)

  • R-squared (R²) score

  • Coefficient of Determination

  • Explained Variance Score

A Machine Learning Engineer was asked
Q. What are the different storage types/classes in AWS S3?
Ans. 

AWS S3 has 6 storage classes: S3 Standard, S3 Intelligent-Tiering, S3 Standard-Infrequent Access, S3 One Zone-Infrequent Access, S3 Glacier, and S3 Glacier Deep Archive.

  • S3 Standard: for frequently accessed data

  • S3 Intelligent-Tiering: automatically moves data to the most cost-effective tier

  • S3 Standard-Infrequent Access: for long-lived, infrequently accessed data

  • S3 One Zone-Infrequent Access: for infrequently access...

Machine Learning Engineer Interview Questions Asked at Other Companies

Q1. Find Permutation Problem Statement Given an integer N, determine ... read more
Q2. Maximum Number by One Swap You are provided with an array of N in ... read more
Q3. Subset Sum Equal To K Problem Statement Given an array/list of po ... read more
Q4. Paths in a Matrix Problem Statement Given an 'M x N' matrix, prin ... read more
Q5. What is over-fitting and under-fitting? How do you deal with it?
A Machine Learning Engineer was asked
Q. Write a Python function to check if the input number is a palindrome or not.
Ans. 

Python function to check if a number is palindrome or not.

  • Convert the number to a string

  • Reverse the string

  • Compare the reversed string with the original string

  • Return True if they are equal, else False

A Machine Learning Engineer was asked
Q. What is AWS SageMaker DataWrangler?
Ans. 

AWS SageMaker DataWrangler is a data preparation service that helps to clean and normalize data for machine learning.

  • It provides a visual interface to explore, transform, and combine data from various sources.

  • It supports a wide range of data formats and can handle missing or inconsistent data.

  • It generates code in Python or PySpark for reproducibility and scalability.

  • It integrates with other AWS services like SageM...

A Machine Learning Engineer was asked
Q. Write a Python function to check if the input number is prime or not.
Ans. 

Python function to check if a number is prime or not

  • Check if number is less than 2, return False

  • Check if number is divisible by any number from 2 to its square root, return False

  • Else, return True

A Machine Learning Engineer was asked
Q. What are *args and **kwargs in Python?
Ans. 

args and kwargs are special syntax in Python used to pass a variable number of arguments to a function.

  • args is used to pass a variable number of non-keyword arguments to a function

  • kwargs is used to pass a variable number of keyword arguments to a function

  • args is represented by an asterisk (*) and kwargs is represented by two asterisks (**)

  • args and kwargs can be used together in a function definition

  • Example: def my...

A Machine Learning Engineer was asked
Q. What is a layer in AWS Lambda?
Ans. 

A layer in AWS Lambda is a distribution mechanism for libraries, custom runtimes, and other function dependencies.

  • Layers can be used to manage dependencies for multiple functions.

  • They can be created and managed in the AWS Management Console or through the AWS CLI.

  • Layers can be shared across multiple AWS accounts and regions.

  • They can be used to separate code from configuration and make it easier to update dependenc...

Are these interview questions helpful?
A Machine Learning Engineer was asked
Q. What is a docker image? and how do you check the running containers?
Ans. 

A docker image is a lightweight, standalone, executable package that includes everything needed to run an application.

  • Docker images are created using a Dockerfile which contains instructions for building the image.

  • Images can be stored in a registry and pulled to run on any machine with Docker installed.

  • To check running containers, use the command 'docker ps' which lists all running containers.

  • To see all containers...

A Machine Learning Engineer was asked
Q. What are lable-encoding and one-hot encoding? when to use one over other?
Ans. 

Label encoding and one-hot encoding are techniques used to convert categorical data into numerical data.

  • Label encoding assigns a unique numerical value to each category in a feature.

  • One-hot encoding creates a binary vector for each category in a feature.

  • Label encoding is useful when the categories have an inherent order or hierarchy.

  • One-hot encoding is useful when the categories are unordered or when the number of...

A Machine Learning Engineer was asked
Q. What is over-fitting and under-fitting? How do you deal with it?
Ans. 

Over-fitting is when a model is too complex and fits the training data too well, while under-fitting is when a model is too simple and cannot capture the underlying patterns in the data.

  • Over-fitting occurs when a model is trained too much on the training data and starts to memorize it instead of learning the underlying patterns.

  • Under-fitting occurs when a model is too simple and cannot capture the complexity of th...

Blazeclan Technologies Machine Learning Engineer Interview Experiences

1 interview found

I applied via Naukri.com and was interviewed in Jun 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 - One-on-one 

(10 Questions)

  • Q1. What is over-fitting and under-fitting? How do you deal with it?
  • Q2. What are lable-encoding and one-hot encoding? when to use one over other?
  • Ans. 

    Label encoding and one-hot encoding are techniques used to convert categorical data into numerical data.

    • Label encoding assigns a unique numerical value to each category in a feature.

    • One-hot encoding creates a binary vector for each category in a feature.

    • Label encoding is useful when the categories have an inherent order or hierarchy.

    • One-hot encoding is useful when the categories are unordered or when the number of cate...

  • Answered by AI
  • Q3. Write a python function to check if the input number is prime or not?
  • Ans. 

    Python function to check if a number is prime or not

    • Check if number is less than 2, return False

    • Check if number is divisible by any number from 2 to its square root, return False

    • Else, return True

  • Answered by AI
  • Q4. Write a python function to check if the input number is palindrome or not?
  • Ans. 

    Python function to check if a number is palindrome or not.

    • Convert the number to a string

    • Reverse the string

    • Compare the reversed string with the original string

    • Return True if they are equal, else False

  • Answered by AI
  • Q5. What are different storage types/classes in AWS S3?
  • Ans. 

    AWS S3 has 6 storage classes: S3 Standard, S3 Intelligent-Tiering, S3 Standard-Infrequent Access, S3 One Zone-Infrequent Access, S3 Glacier, and S3 Glacier Deep Archive.

    • S3 Standard: for frequently accessed data

    • S3 Intelligent-Tiering: automatically moves data to the most cost-effective tier

    • S3 Standard-Infrequent Access: for long-lived, infrequently accessed data

    • S3 One Zone-Infrequent Access: for infrequently accessed da...

  • Answered by AI
  • Q6. What is AWS SageMaker DataWrangler?
  • Ans. 

    AWS SageMaker DataWrangler is a data preparation service that helps to clean and normalize data for machine learning.

    • It provides a visual interface to explore, transform, and combine data from various sources.

    • It supports a wide range of data formats and can handle missing or inconsistent data.

    • It generates code in Python or PySpark for reproducibility and scalability.

    • It integrates with other AWS services like SageMaker ...

  • Answered by AI
  • Q7. What is a docker image? and how do you check the running containers?
  • Ans. 

    A docker image is a lightweight, standalone, executable package that includes everything needed to run an application.

    • Docker images are created using a Dockerfile which contains instructions for building the image.

    • Images can be stored in a registry and pulled to run on any machine with Docker installed.

    • To check running containers, use the command 'docker ps' which lists all running containers.

    • To see all containers, inc...

  • Answered by AI
  • Q8. What is a layer in aws lambda?
  • Ans. 

    A layer in AWS Lambda is a distribution mechanism for libraries, custom runtimes, and other function dependencies.

    • Layers can be used to manage dependencies for multiple functions.

    • They can be created and managed in the AWS Management Console or through the AWS CLI.

    • Layers can be shared across multiple AWS accounts and regions.

    • They can be used to separate code from configuration and make it easier to update dependencies.

    • E...

  • Answered by AI
  • Q9. What are some metrics for regression problems?
  • Ans. 

    Metrics for regression problems

    • Mean Squared Error (MSE)

    • Root Mean Squared Error (RMSE)

    • Mean Absolute Error (MAE)

    • R-squared (R²) score

    • Coefficient of Determination

    • Explained Variance Score

  • Answered by AI
  • Q10. What are args and kwargs in python?
  • Ans. 

    args and kwargs are special syntax in Python used to pass a variable number of arguments to a function.

    • args is used to pass a variable number of non-keyword arguments to a function

    • kwargs is used to pass a variable number of keyword arguments to a function

    • args is represented by an asterisk (*) and kwargs is represented by two asterisks (**)

    • args and kwargs can be used together in a function definition

    • Example: def my_func...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - they were looking for candidates with knowledge in data collection and management(not engineering), machine learning, deployment with cloud tools and programming.

Skills evaluated in this interview

Top trending discussions

View All
Interview Tips & Stories
1w (edited)
a team lead
Why are women still asked such personal questions in interview?
I recently went for an interview… and honestly, m still trying to process what just happened. Instead of being asked about my skills, experience, or how I could add value to the company… the questions took a totally unexpected turn. The interviewer started asking things like When are you getting married? Are you engaged? And m sure, if I had said I was married, the next question would’ve been How long have you been married? What does my personal life have to do with the job m applying for? This is where I felt the gender discrimination hit hard. These types of questions are so casually thrown at women during interviews but are they ever asked to men? No one asks male candidates if they’re planning a wedding or how old their kids are. So why is it okay to ask women? Can we please stop normalising this kind of behaviour in interviews? Our careers shouldn’t be judged by our relationship status. Period.
Got a question about Blazeclan Technologies?
Ask anonymously on communities.

Interview questions from similar companies

I applied via Naukri.com and was interviewed in Oct 2020. There was 1 interview round.

Interview Questionnaire 

1 Question

  • Q1. Regarding PHP

Interview Preparation Tips

Interview preparation tips for other job seekers - Please clear your basic knowledge

Machine Learning Engineer Interview Questions Asked at Other Companies

Q1. Find Permutation Problem Statement Given an integer N, determine ... read more
Q2. Maximum Number by One Swap You are provided with an array of N in ... read more
Q3. Subset Sum Equal To K Problem Statement Given an array/list of po ... read more
Q4. Paths in a Matrix Problem Statement Given an 'M x N' matrix, prin ... read more
Q5. What is over-fitting and under-fitting? How do you deal with it?

I applied via Campus Placement and was interviewed before Apr 2020. There were 5 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. 1.OOP questions
  • Q2. 2.Java basic programs

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident
Try to answer questions logically

I applied via Company Website and was interviewed before May 2021. 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 - Technical 

(2 Questions)

  • Q1. How many years do you have the experience in ____ (programming language you have applied for)
  • Ans. 

    I have X years of experience in ____.

    • Worked with ____ for X years on various projects

    • Proficient in ____ with experience in developing complex applications

    • Have completed multiple courses and certifications in ____

    • Contributed to open-source projects in ____

  • Answered by AI
  • Q2. What type of projects do you have the experience to do
Round 3 - HR 

(4 Questions)

  • Q1. What are you like to do
  • Q2. What are the hobbies you have
  • Q3. What's your weak point you feel that you have
  • Q4. How you are trying to overcome your week points

Interview Preparation Tips

Interview preparation tips for other job seekers - It's better to try to give interviews with proper knowledge. Don't show overconfidence in what you don't have good knowledge to get a job.

I applied via LinkedIn and was interviewed before Nov 2021. 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 - Aptitude Test 

There are basic aptitude questions for freshers level

Round 3 - Technical 

(2 Questions)

  • Q1. Oops concepts, basics of sql
  • Q2. Basics of programming language

Interview Preparation Tips

Interview preparation tips for other job seekers - Go through basics interview questions for freshers level

I applied via Referral and was interviewed before Sep 2021. There were 5 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. All about angular basic and deep questioning
Round 3 - Technical 

(1 Question)

  • Q1. Basic routing and SPA
Round 4 - Behavioral 

(1 Question)

  • Q1. Detail qbout angular and node js
  • Ans. 

    Angular is a front-end framework while Node.js is a back-end runtime environment.

    • Angular is used for building dynamic web applications with a focus on the client-side.

    • Node.js is used for building server-side applications with JavaScript.

    • Angular uses TypeScript for building applications while Node.js uses JavaScript.

    • Angular has a large community and a lot of pre-built components while Node.js has a vast library of modul...

  • Answered by AI
Round 5 - HR 

(1 Question)

  • Q1. Salary discussion as per interview

Interview Preparation Tips

Topics to prepare for Winjit Technologies Senior Software Engineer interview:
  • OOPS
  • Angular
  • HTML
  • CSS
  • Javascript
Interview preparation tips for other job seekers - Be calmly to take the interview. Preapare at least basic things to attend the interview.

Skills evaluated in this interview

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

Easy to moderate level

Round 2 - Group Discussion 

Given a topic and gave 2 hrs for preparation

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare well that what is on your resume
Are these interview questions helpful?
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Questions on basic python.
  • Q2. Networking basics
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Basic opps concept of .net
  • Q2. SQL and angular questions
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Good coding test of 2 hour medium questions

Round 2 - HR 

(2 Questions)

  • Q1. About your self
  • Ans. 

    I'm a passionate software engineer with a strong background in full-stack development and a love for solving complex problems.

    • Graduated with a degree in Computer Science from XYZ University.

    • Worked at ABC Corp, where I developed a web application that improved user engagement by 30%.

    • Proficient in languages like JavaScript, Python, and Java, with experience in frameworks like React and Django.

    • Enjoy collaborating in agile...

  • Answered by AI
  • Q2. About project and typical hr Questions

Blazeclan Technologies Interview FAQs

How many rounds are there in Blazeclan Technologies Machine Learning Engineer interview?
Blazeclan Technologies interview process usually has 2 rounds. The most common rounds in the Blazeclan Technologies interview process are Resume Shortlist and One-on-one Round.
What are the top questions asked in Blazeclan Technologies Machine Learning Engineer interview?

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

  1. What is over-fitting and under-fitting? How do you deal with ...read more
  2. what are lable-encoding and one-hot encoding? when to use one over oth...read more
  3. what is a docker image? and how do you check the running containe...read more

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₹4.8 L/yr - ₹7.2 L/yr
48% less than the average Machine Learning Engineer Salary in India
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