Upload Button Icon Add office photos

Filter interviews by

Clear (1)

Booz Allen Hamilton Ai Ml Engineer Interview Questions and Answers

Updated 17 Jul 2024

Booz Allen Hamilton Ai Ml Engineer Interview Experiences

1 interview found

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

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

Round 1 - Group Discussion 

Sharing past experiences

Interview questions from similar companies

I applied via Naukri.com and was interviewed in Jan 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 Resume tips
Round 2 - Technical 

(1 Question)

  • Q1. Basic machine learning question and basic python question
Round 3 - Technical 

(1 Question)

  • Q1. It's is techno-managerial round so be confident and answer each question in calm all questions are from basic machine learning domain and also prepare project well
Round 4 - HR 

(1 Question)

  • Q1. Basic hr questions like why want to change and salary etc....

Interview Preparation Tips

Topics to prepare for Deloitte Ai Ml Engineer interview:
  • random forest
  • Python
Interview preparation tips for other job seekers - always be confident and grab opportunity
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
-

I applied via Approached by Company and was interviewed in Feb 2024. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Questions about projects and ML concepts, with coding questions.
Round 2 - Technical 

(1 Question)

  • Q1. Questions about projects in past jobs
Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
No response

I applied via Job Portal and was interviewed in Dec 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Question on random forest and linear regression
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I was interviewed in Jul 2024.

Round 1 - Coding Test 

Okay asked questions about ML , python , NLP , LLM

Round 2 - One-on-one 

(2 Questions)

  • Q1. Experience or relevancy
  • Q2. Communicate testing

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare using innovative concepts and emerging technologies, then showcase your project.
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Scenario based questions
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(5 Questions)

  • Q1. Describe any NLP project end to end.
  • Ans. 

    Developed a sentiment analysis model using NLP to analyze customer reviews for a product.

    • Collected and preprocessed text data from various sources

    • Performed tokenization, stopword removal, and lemmatization

    • Built a machine learning model using techniques like TF-IDF and LSTM

    • Evaluated the model's performance using metrics like accuracy and F1 score

    • Deployed the model for real-time sentiment analysis of new reviews

  • Answered by AI
  • Q2. What is cosine similarity?
  • Ans. 

    Cosine similarity is a measure of similarity between two non-zero vectors in an inner product space.

    • It measures the cosine of the angle between the two vectors.

    • Values range from -1 (completely opposite) to 1 (exactly the same).

    • Used in recommendation systems, text mining, and clustering algorithms.

  • Answered by AI
  • Q3. What is difference between iterator and iterable?
  • Ans. 

    Iterator is an object that allows iteration over a collection, while iterable is an object that can be iterated over.

    • Iterator is an object with a next() method that returns the next item in the collection.

    • Iterable is an object that has an __iter__() method which returns an iterator.

    • Example: List is iterable, while iter(list) returns an iterator.

  • Answered by AI
  • Q4. Write a python function for cosine similarity.
  • Ans. 

    Python function to calculate cosine similarity between two vectors.

    • Define a function that takes two vectors as input.

    • Calculate the dot product of the two vectors.

    • Calculate the magnitude of each vector and multiply them.

    • Divide the dot product by the product of magnitudes to get cosine similarity.

  • Answered by AI
  • Q5. How did you evaluate your model. what is F1 score.
  • Ans. 

    F1 score is a metric used to evaluate the performance of a classification model by considering both precision and recall.

    • F1 score is the harmonic mean of precision and recall, calculated as 2 * (precision * recall) / (precision + recall).

    • It is a better metric than accuracy when dealing with imbalanced datasets.

    • A high F1 score indicates a model with both high precision and high recall.

    • F1 score ranges from 0 to 1, where

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
No response

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

Round 1 - Technical 

(2 Questions)

  • Q1. About Handling Missing Values
  • Q2. Questions on Embedding

Interview Preparation Tips

Interview preparation tips for other job seekers - Only Round 1 is done. They said you got selected for Round 2 (Final Round) and no call happend. They removed candidature
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Apr 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Confusion matrix
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Jul 2024. There were 2 interview rounds.

Round 1 - One-on-one 

(4 Questions)

  • Q1. Explain the ML project you recently worked?
  • Ans. 

    Developed a recommendation system for an e-commerce platform using collaborative filtering

    • Used collaborative filtering to analyze user behavior and recommend products

    • Implemented matrix factorization techniques to improve recommendation accuracy

    • Evaluated model performance using metrics like RMSE and precision-recall curves

  • Answered by AI
  • Q2. Questions related to ML fundamentals like supervised learning, unsupervised learning, evaluation and ML algorithms
  • Q3. Project specific questions
  • Q4. Easy-medium coding questions
Round 2 - HR 

(2 Questions)

  • Q1. What technologies you are working on?
  • Ans. 

    I am currently working on developing machine learning models using Python, TensorFlow, and scikit-learn.

    • Python programming language

    • TensorFlow framework

    • scikit-learn library

  • Answered by AI
  • Q2. How you will approach on machine learning problem?
  • Ans. 

    I would approach a machine learning problem by first understanding the problem, collecting and preprocessing data, selecting a suitable algorithm, training the model, evaluating its performance, and fine-tuning it.

    • Understand the problem statement and define the objectives clearly.

    • Collect and preprocess the data to make it suitable for training.

    • Select a suitable machine learning algorithm based on the problem type (clas...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on your skill and project which you worked on

Skills evaluated in this interview

Contribute & help others!
anonymous
You can choose to be anonymous

Booz Allen Hamilton Interview FAQs

How many rounds are there in Booz Allen Hamilton Ai Ml Engineer interview?
Booz Allen Hamilton interview process usually has 1 rounds. The most common rounds in the Booz Allen Hamilton interview process are Group Discussion.

Recently Viewed

INTERVIEWS

Gallagher

No Interviews

INTERVIEWS

Navi Technologies

No Interviews

INTERVIEWS

Equifax

No Interviews

INTERVIEWS

Arthur D. Little

No Interviews

INTERVIEWS

JGC Corporation

No Interviews

INTERVIEWS

ITI

No Interviews

INTERVIEWS

Arthur D. Little

No Interviews

INTERVIEWS

JGC Corporation

No Interviews

INTERVIEWS

JGC Corporation

No Interviews

INTERVIEWS

ITI

No Interviews

Tell us how to improve this page.

Booz Allen Hamilton Ai Ml Engineer Interview Process

based on 1 interview

Interview experience

4
  
Good
View more

Interview Questions from Similar Companies

Accenture Interview Questions
3.8
 • 8.2k Interviews
Cognizant Interview Questions
3.8
 • 5.6k Interviews
Capgemini Interview Questions
3.7
 • 4.8k Interviews
Deloitte Interview Questions
3.8
 • 2.9k Interviews
IBM Interview Questions
4.0
 • 2.4k Interviews
PwC Interview Questions
3.4
 • 1.4k Interviews
Ernst & Young Interview Questions
3.4
 • 1.1k Interviews
KPMG India Interview Questions
3.5
 • 805 Interviews
Nagarro Interview Questions
4.0
 • 779 Interviews
View all
Compare Booz Allen Hamilton with

McKinsey & Company

3.8
Compare

Deloitte

3.8
Compare

Accenture

3.8
Compare

KPMG India

3.5
Compare
Did you find this page helpful?
Yes No
write
Share an Interview