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Quantiphi Analytics Solutions Private Limited ml engineer Interview Questions and Answers for Experienced

Updated 4 Jun 2024

Quantiphi Analytics Solutions Private Limited ml engineer Interview Experiences for Experienced

2 interviews found

ml engineer Interview Questions & Answers

user image Anonymous

posted on 27 Feb 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. What is decision tree
  • Ans. 

    A decision tree is a flowchart-like structure where each internal node represents a feature, each branch represents a decision, and each leaf node represents an outcome.

    • Decision trees are a popular machine learning algorithm used for classification and regression tasks.

    • They are easy to interpret and visualize, making them useful for understanding the decision-making process.

    • Decision trees work by recursively splitting ...

  • Answered by AI
  • Q2. What is boosting
  • Ans. 

    Boosting is a machine learning ensemble technique that combines multiple weak learners to create a strong learner.

    • Boosting iteratively improves the performance of a model by focusing on the mistakes made by previous models.

    • Popular boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.

    • Boosting is often used in classification and regression problems to improve accuracy and reduce bias.

  • Answered by AI

Skills evaluated in this interview

ml engineer Interview Questions & Answers

user image Anonymous

posted on 4 Jun 2024

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

I applied via Referral and was interviewed before Jun 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Tell me about yourself
  • Q2. ML algorithm based questions
Round 2 - Technical 

(1 Question)

  • Q1. Question of Project done

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Q5. create dictionary in python from 2 list and key values, sql query ... read more

Interview questions from similar companies

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

I applied via Approached by Company and was interviewed in Oct 2024. There were 3 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Explain about your projects
  • Ans. 

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

    • Developed a sentiment analysis model using NLP techniques

    • Implemented a facial recognition system using CNNs

    • Built a movie recommendation engine based on collaborative filtering

  • Answered by AI
  • Q2. Basic Kubernetes quetions
Round 2 - One-on-one 

(2 Questions)

  • Q1. Python questions
  • Q2. Situational Questions
Round 3 - HR 

(1 Question)

  • Q1. Expected salary?

Interview Preparation Tips

Interview preparation tips for other job seekers - Present your projects really well
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Coding Test 

Asked various questions related to MLOPs pipelines on AWS and Azure. Asked two basic python questions as well.

Round 2 - Technical 

(2 Questions)

  • Q1. Design a complete mlops pipeline with all the steps in it.
  • Ans. 

    Designing a complete MLOps pipeline with all the necessary steps.

    • Data collection and preprocessing

    • Model training and evaluation

    • Model deployment

    • Monitoring and feedback loop

    • Automated retraining

    • Version control and collaboration

  • Answered by AI
  • Q2. Questions around Lambda function
Round 3 - HR 

(1 Question)

  • Q1. Why do you want to join fractal and other questions HR questions?

Interview Preparation Tips

Interview preparation tips for other job seekers - Interview was easy to medium hard. But I didn't liked what they offered post I clearing the interview.

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
No response

I applied via Recruitment Consulltant and was interviewed in Aug 2024. There was 1 interview round.

Round 1 - Coding Test 

Basic Coding round and understanding of candidate's previous work experience. Questions on ML orchestrators.

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
Not Selected

I was interviewed in Feb 2024.

Round 1 - One-on-one 

(2 Questions)

  • Q1. What is PCA? Explain the working.
  • Ans. 

    PCA stands for Principal Component Analysis. It is a dimensionality reduction technique used to reduce the number of variables in a dataset while preserving the most important information.

    • PCA is used to transform high-dimensional data into a lower-dimensional space by finding the principal components that explain the maximum variance in the data.

    • The first principal component is the direction in which the data varies th...

  • Answered by AI
  • Q2. Python code to sort elements
  • Ans. 

    Python code to sort elements in an array of strings

    • Use the sorted() function to sort the elements in the array

    • Specify the key parameter if you want to sort based on a specific criteria

    • Use the reverse parameter to sort in descending order if needed

  • Answered by AI

Skills evaluated in this interview

Interview Questionnaire 

1 Question

  • Q1. Interview proceas was very nice. They asked question based CV and the interviewers made very comfortable throughout the process
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
Selected Selected
Round 1 - Aptitude Test 

General aptitude questions

Round 2 - Group Discussion 

Was given a topic and asked to talk about for 2 mins

Round 3 - HR 

(2 Questions)

  • Q1. Why LatentView?
  • Ans. 

    LatentView offers a dynamic work environment with opportunities for growth and learning in the field of analytics.

    • LatentView has a strong reputation in the analytics industry for delivering innovative solutions to clients.

    • The company values continuous learning and development, providing employees with opportunities to enhance their skills.

    • LatentView offers a collaborative work culture where employees can work on divers...

  • Answered by AI
  • Q2. What do you expect from us?
  • Ans. 

    I expect a supportive work environment, opportunities for growth, and clear communication.

    • Supportive work environment where I can collaborate with team members

    • Opportunities for growth and advancement within the company

    • Clear communication regarding expectations, feedback, and goals

  • Answered by AI
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-

I applied via Newspaper Ad

Round 1 - Coding Test 

Basic coding questins

Round 2 - Technical 

(1 Question)

  • Q1. All based on my project

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare all Data science topics
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Aptitude test was easy, you can prepare it with online available resources

Round 2 - Assignment 

We were asked to complete few games which were related to logical thinking

Round 3 - Group Discussion 

It was a common topic and was 1 hour long

Round 4 - One-on-one 

(1 Question)

  • Q1. They asked basic sql question like joins, windows function, subqueries. Also they asked one guestimate and a case study. Guestimate- No. of IPhone stores in delhi Case study - How to increase the profit of...

Quantiphi Analytics Solutions Private Limited Interview FAQs

How many rounds are there in Quantiphi Analytics Solutions Private Limited ml engineer interview for experienced candidates?
Quantiphi Analytics Solutions Private Limited interview process for experienced candidates usually has 1-2 rounds. The most common rounds in the Quantiphi Analytics Solutions Private Limited interview process for experienced candidates are One-on-one Round and Technical.
How to prepare for Quantiphi Analytics Solutions Private Limited ml engineer interview for experienced candidates?
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 Quantiphi Analytics Solutions Private Limited. The most common topics and skills that interviewers at Quantiphi Analytics Solutions Private Limited expect are Analytical, Catering, Cloud, Computer Vision and Data Analysis.
What are the top questions asked in Quantiphi Analytics Solutions Private Limited ml engineer interview for experienced candidates?

Some of the top questions asked at the Quantiphi Analytics Solutions Private Limited ml engineer interview for experienced candidates -

  1. What is decision t...read more
  2. What is boost...read more
  3. First of all he go through your resume and after that whatever language do you ...read more

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Quantiphi Analytics Solutions Private Limited ml engineer Interview Process for Experienced

based on 2 interviews

Interview experience

4.5
  
Good
View more

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Quantiphi Analytics Solutions Private Limited ml engineer Salary
based on 13 salaries
₹6 L/yr - ₹18 L/yr
13% more than the average ml engineer Salary in India
View more details

Quantiphi Analytics Solutions Private Limited ml engineer Reviews and Ratings

based on 7 reviews

2.3/5

Rating in categories

2.6

Skill development

1.9

Work-life balance

1.6

Salary

1.7

Job security

2.0

Company culture

1.6

Promotions

2.3

Work satisfaction

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