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Foundation AI Interview Questions and Answers

Updated 30 Dec 2024

Foundation AI Interview Experiences

Popular Designations

8 interviews found

Interview experience
1
Bad
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
-

I applied via Approached by Company and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Intro, what i did in previous job
  • Q2. Many other stupid irrelevant questions

Interview Questions & Answers

user image Megha Singh Nandiwal

posted on 18 Dec 2024

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

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

Round 1 - HR 

(1 Question)

  • Q1. Personal Interview
Round 2 - Case Study 

Developing frameworks for organizational culture.

Round 3 - Assignment 

Operational Efficiency Framework

Senior Data Scientist Interview Questions & Answers

user image Vajja Rajagopal

posted on 24 Feb 2024

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Selected Selected

I applied via Job Portal

Round 1 - Technical 

(1 Question)

  • Q1. Data Science/Coding questions
Round 2 - Behavioral 

(1 Question)

  • Q1. In detail information of project and team fit
Round 3 - HR 

(1 Question)

  • Q1. Salary and stock options discussion.

Interview Preparation Tips

Interview preparation tips for other job seekers - Better to stay away as it's unstructured. No basic standard or benefits to join. Monopoly irrespective of feedback.

Senior Data Scientist Interview Questions asked at other Companies

Q1. What is the difference between logistic and linear regression?
View answer (4)
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

(1 Question)

  • Q1. Self introduction and experience
Round 3 - Technical 

(1 Question)

  • Q1. Python basics and coding problems
Round 4 - One-on-one 

(1 Question)

  • Q1. Technical stack and communication

Interview Preparation Tips

Interview preparation tips for other job seekers - Python basics and coding problems, python frameworks like django or flask

Foundation AI interview questions for popular designations

 Senior Data Scientist

 (2)

 Data Verification Executive

 (1)

 Implementation Developer

 (1)

 Automation Engineer

 (1)

 Senior Operations Manager

 (1)

 IT (Data Analytics)

 (1)

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 before Dec 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Many scenario-based questions were asked regarding your work experience and skillset.
Round 2 - One-on-one 

(1 Question)

  • Q1. Questions regarding cultural fit and previous work experience were asked during the interview.

Interview Preparation Tips

Interview preparation tips for other job seekers - Answer all questions with confidence

Senior Operations Manager Interview Questions asked at other Companies

Q1. How do you align operational strategies with the company's overall goals?
View answer (1)
Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
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 - Assignment 

After 1 round they are taking assignment round in tht they are give you login credentials of their AI app then you need to create pom classes and test classes for scenarios like file upload handle drop-down and many more finding the web element by using xpath by axes

Round 3 - HR 

(2 Questions)

  • Q1. Just a salary discussion round
  • Q2. What is ur current CTC What about expectation
  • Ans. 

    I prefer not to disclose my current CTC. As for my expectation, I am looking for a competitive salary based on my skills and experience.

    • I am open to discussing compensation based on the job requirements and my qualifications

    • I am looking for a salary that is competitive with industry standards

    • I am willing to negotiate based on the overall compensation package

    • I am looking for a fair compensation that reflects my skills a...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared for advance xpath because x path hard to get by using normal xpath in their application

Automation Engineer Interview Questions asked at other Companies

Q1. 16) What is modbus ? Types of modbus? How many slaves we can connect to one master
View answer (1)

Jobs at Foundation AI

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

I applied via LinkedIn and was interviewed before Feb 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 - Technical 

(1 Question)

  • Q1. Explain one of your recent projects at work?
Round 3 - One-on-one 

(1 Question)

  • Q1. Area of expertise and why Foundation AI?
  • Ans. 

    My area of expertise is in machine learning and deep learning. I specialize in Foundation AI because it is the backbone of modern AI.

    • I have extensive experience in developing and implementing machine learning models for various applications.

    • I have a strong understanding of the underlying principles of deep learning and how it can be used to solve complex problems.

    • Foundation AI is important because it provides the funda...

  • Answered by AI
Round 4 - HR 

(1 Question)

  • Q1. Salary negotiations and background verification.

Interview Preparation Tips

Interview preparation tips for other job seekers - There isn't any process defined as of now, not sure if it's changes recently.

Senior Data Scientist Interview Questions asked at other Companies

Q1. What is the difference between logistic and linear regression?
View answer (4)

IT (Data Analytics) Interview Questions & Answers

user image Budige Avinash

posted on 21 Dec 2020

Interview Questionnaire 

1 Question

  • Q1. Past Experience and related projects.
  • Ans. 
    1. Worked as a Data Analytics and Data Research. 
    2. Worked on ML and Data Analytics projects. 
    3. Had 1+ years of experience in Data Science fields. 
  • Answered by Budige Avinash

Interview Preparation Tips

Interview preparation tips for other job seekers - First have completed knowledge about all the things in your resume.

IT (Data Analytics) Interview Questions asked at other Companies

Q1. Can you tell few use case examples in the banking scenario?
View answer (2)

Interview questions from similar companies

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

20 MCQ questions related to Data science and 1 coding ML question.

Round 2 - Technical 

(2 Questions)

  • Q1. What is overfitting and underfitting?
  • Ans. 

    Overfitting and underfitting are common problems in machine learning where a model performs too well on training data but poorly on unseen data, or performs poorly on both training and unseen data due to oversimplification.

    • Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern, leading to poor generalization on unseen data.

    • Underfitting happens when a model is too simple...

  • Answered by AI
  • Q2. What is K-fold CV?
  • Ans. 

    K-fold CV is a technique used to evaluate the performance of a machine learning model by splitting the data into k subsets.

    • Data is divided into k subsets, with one subset used as the validation set and the rest as training sets.

    • The process is repeated k times, with each subset used once as the validation data.

    • The average of the k validation results is used as the final performance metric.

    • Helps in reducing bias and vari...

  • Answered by AI

Skills evaluated in this interview

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

I applied via Approached by Company and was interviewed before Sep 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 - One-on-one 

(1 Question)

  • Q1. Difference between Ridge and Lasso regression
  • Ans. 

    Ridge and Lasso regression are both regularization techniques used in linear regression to prevent overfitting.

    • Ridge regression adds a penalty equivalent to the square of the magnitude of coefficients, while Lasso regression adds a penalty equivalent to the absolute value of the magnitude of coefficients.

    • Ridge regression shrinks the coefficients towards zero but never exactly to zero, while Lasso regression can shrink ...

  • Answered by AI
Round 3 - One-on-one 

(1 Question)

  • Q1. Difference between boosting and bagging
  • Ans. 

    Boosting focuses on improving the performance of weak learners sequentially, while bagging uses parallel ensemble learning with bootstrapping.

    • Boosting combines multiple weak learners to create a strong learner by giving more weight to misclassified instances in each iteration.

    • Bagging creates multiple subsets of the training data through bootstrapping and trains each subset independently to reduce variance.

    • Examples: Ada...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Analytics( regression) and basic coding is what you need to prepare

Skills evaluated in this interview

Foundation AI Interview FAQs

How many rounds are there in Foundation AI interview?
Foundation AI interview process usually has 2-3 rounds. The most common rounds in the Foundation AI interview process are One-on-one Round, HR and Resume Shortlist.
How to prepare for Foundation AI 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 Foundation AI. The most common topics and skills that interviewers at Foundation AI expect are Python, SQL, Troubleshooting, AWS and Automation Testing.
What are the top questions asked in Foundation AI interview?

Some of the top questions asked at the Foundation AI interview -

  1. Area of expertise and why Foundation ...read more
  2. What is ur current CTC What about expectat...read more
  3. Technical stack and communicat...read more
How long is the Foundation AI interview process?

The duration of Foundation AI interview process can vary, but typically it takes about less than 2 weeks to complete.

Tell us how to improve this page.

Foundation AI Interview Process

based on 6 interviews

Interview experience

3.3
  
Average
View more

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Foundation AI Reviews and Ratings

based on 36 reviews

3.6/5

Rating in categories

3.5

Skill development

3.3

Work-life balance

3.7

Salary

3.5

Job security

3.4

Company culture

3.4

Promotions

3.4

Work satisfaction

Explore 36 Reviews and Ratings
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