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Accenture ml engineer Interview Questions and Answers

Updated 28 Nov 2024

Accenture ml engineer Interview Experiences

2 interviews found

ml engineer Interview Questions & Answers

user image Anonymous

posted on 28 Nov 2024

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
Not Selected
Round 1 - Technical 

(2 Questions)

  • Q1. Project discussion
  • Q2. Bigdata project questions
Round 2 - Technical 

(2 Questions)

  • Q1. Ml model discussion
  • Q2. Have you implemented llama models
  • Ans. 

    LLAMA models are used for large language model adaptation.

    • LLAMA models are used for adapting large language models to specific tasks or domains.

    • They are commonly used in natural language processing tasks such as text generation, translation, and sentiment analysis.

    • Examples of LLAMA models include GPT-3, BERT, and RoBERTa.

  • Answered by AI

ml engineer Interview Questions & Answers

user image Nasir J Kadri

posted on 13 Sep 2024

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Write a code to sort a list without using inbuild function
  • Ans. 

    Implement a sorting algorithm to sort a list without using built-in functions.

    • Use a common sorting algorithm like bubble sort, selection sort, or insertion sort.

    • Iterate through the list and compare adjacent elements to swap them if necessary.

    • Repeat the process until the list is sorted in ascending order.

  • Answered by AI
  • Q2. Explain web scraping using code
  • Ans. 

    Web scraping is the process of extracting data from websites using code.

    • Identify the website and the specific data to be extracted

    • Use libraries like BeautifulSoup or Scrapy in Python to parse HTML

    • Inspect the website's HTML structure to locate the data

    • Write code to extract the data and store it in a desired format

  • Answered by AI

Skills evaluated in this interview

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Interview questions from similar companies

Interview experience
4
Good
Difficulty level
Easy
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Apr 2023. There were 2 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. What are python decorators
  • Ans. 

    Python decorators are functions that modify the behavior of other functions or methods.

    • Decorators are denoted by the @ symbol followed by the decorator function name.

    • They are commonly used for adding functionality to existing functions without modifying their code.

    • Decorators can be used for logging, timing, authentication, caching, etc.

    • Example: @staticmethod decorator in Python is used to define a method that is not bo

  • Answered by AI
Round 2 - One-on-one 

(1 Question)

  • Q1. Only one round was there

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. What is the difference between Precision and Recall?
  • Ans. 

    Precision is the ratio of correctly predicted positive observations to the total predicted positive observations, while Recall is the ratio of correctly predicted positive observations to the all observations in actual class.

    • Precision focuses on the accuracy of positive predictions, while Recall focuses on the proportion of actual positives that were correctly identified.

    • Precision = TP / (TP + FP)

    • Recall = TP / (TP + FN...

  • Answered by AI
  • Q2. What are the hyperparameters of Random forest?
  • Ans. 

    Hyperparameters of Random Forest include number of trees, max depth of trees, minimum samples per leaf, and maximum features.

    • Number of trees: Determines the number of decision trees in the forest.

    • Max depth of trees: Controls the maximum depth of each decision tree.

    • Minimum samples per leaf: Specifies the minimum number of samples required to be at a leaf node.

    • Maximum features: Determines the maximum number of features t

  • Answered by AI

Skills evaluated in this interview

I applied via Job Portal and was interviewed in Aug 2021. 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 Resume tips
Round 2 - One-on-one 

(1 Question)

  • Q1. Questions related to college projects.

Interview Preparation Tips

Interview preparation tips for other job seekers - Easy Interview Process and Great projects.
Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Basic python coding questions
  • Q2. Nlp, ml related questions
Round 2 - Technical 

(2 Questions)

  • Q1. Coding in python
  • Q2. Questions on the project
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - One-on-one 

(2 Questions)

  • Q1. About yourself and projects
  • Q2. Mostly questions related to project, technology involve etc.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Nov 2023. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. What is linear regression
  • Ans. 

    Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

    • Linear regression aims to find the best-fitting straight line that describes the relationship between variables.

    • It is commonly used for predicting numerical values based on input features.

    • The equation for a simple linear regression model is y = mx + b, where y is the dependent vari...

  • Answered by AI
  • Q2. What is support vector machine
  • Ans. 

    Support Vector Machine (SVM) is a supervised machine learning algorithm used for classification and regression tasks.

    • SVM finds the hyperplane that best separates different classes in the feature space

    • It works by maximizing the margin between the closest data points from different classes

    • SVM can handle non-linear data by using kernel functions to map data into higher-dimensional space

    • Examples: classifying emails as spam...

  • Answered by AI
Round 2 - Technical 

(2 Questions)

  • Q1. What is difference between object detection and segmentation in image
  • Ans. 

    Object detection identifies objects in an image, while segmentation assigns a label to each pixel in the image.

    • Object detection involves identifying and locating objects within an image, often using bounding boxes.

    • Segmentation assigns a class label to each pixel in the image, creating a pixel-wise mask for each object.

    • Object detection is typically used when the goal is to identify and locate multiple objects in an imag...

  • Answered by AI
  • Q2. Technology used in camera sensor
  • Ans. 

    Camera sensors use various technologies such as CMOS and CCD to capture images.

    • CMOS (Complementary Metal-Oxide-Semiconductor) sensors are commonly used in modern digital cameras for their low power consumption and high image quality.

    • CCD (Charge-Coupled Device) sensors are another type of sensor used in some cameras, known for their high-quality images but higher power consumption.

    • Other technologies used in camera senso...

  • Answered by AI

Skills evaluated in this interview

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

(2 Questions)

  • Q1. Tell about sql joins
  • Ans. 

    SQL joins are used to combine rows from two or more tables based on a related column between them.

    • Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

    • INNER JOIN returns rows when there is at least one match in both tables.

    • LEFT JOIN returns all rows from the left table and the matched rows from the right table.

    • RIGHT JOIN returns all rows from the right table and the matched rows from the left table.

    • F...

  • Answered by AI
  • Q2. What ks difference between delete and update
  • Ans. 

    Delete removes a record entirely, while update modifies an existing record.

    • Delete removes the entire record from the database

    • Update modifies specific fields of an existing record

    • Delete is irreversible, while update can be undone by another update

    • Example: Deleting a user account vs updating the user's email address

  • Answered by AI

Skills evaluated in this interview

I was interviewed before Sep 2020.

Round 1 - Coding Test 

(1 Question)

Round duration - 140 minutes
Round difficulty - Medium

Test timing was at 2:00 pm , it was conducted in a college and the environment was good for the test. Camera was a primary part of test, so no suspicious activity.

  • Q1. 

    Sum of Two Numbers Represented as Arrays

    Given two numbers in the form of two arrays where each element of the array represents a digit, calculate the sum of these two numbers and return this sum as an ar...

  • Ans. 

    Given two numbers represented as arrays, calculate their sum and return the result as an array.

    • Iterate through the arrays from right to left, adding digits and carrying over if necessary

    • Handle cases where one array is longer than the other by considering the remaining digits

    • Ensure the final sum array does not have any leading zeros

  • Answered by AI
Round 2 - Face to Face 

Round duration - 20 minutes
Round difficulty - Easy

The round was conducted at around 12 p.m. I was called at the college location and then it was conducted. The interviewer was quite polite and frank.

Round 3 - HR 

Round duration - 8 minutes
Round difficulty - Easy

This round was conducted right after finishing and clearing the technical round at the same place and on the same day.

Interview Preparation Tips

Eligibility criteriaAbove 60 %Wipro Limited interview preparation:Topics to prepare for the interview - OOPS, Data Structures, Database Concepts, Coding problemsTime required to prepare for the interview - 2-3 monthsInterview preparation tips for other job seekers

Tip 1 : Practice atleast 2-3 Coding problems daily so your logic building becomes stronger.
Tip 2 : Exercise problems based on OOPS concepts and others too.
Tip 3 : If you can have your own project built, then it's the major point and will act as a plus point.

Application resume tips for other job seekers

Tip 1 : Your resume should be in standard form, short and simple will be more effective.
Tip 2 : Whatever you have learned, you need to mention it in your resume as that will be your primary source of selection and having project on your resume is important.

Final outcome of the interviewSelected

Skills evaluated in this interview

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Accenture Interview FAQs

How many rounds are there in Accenture ml engineer interview?
Accenture interview process usually has 1-2 rounds. The most common rounds in the Accenture interview process are Technical.
How to prepare for Accenture ml engineer 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 Accenture. The most common topics and skills that interviewers at Accenture expect are Image Processing, Neural Networks, Python, Machine Learning and Deep Learning.
What are the top questions asked in Accenture ml engineer interview?

Some of the top questions asked at the Accenture ml engineer interview -

  1. Write a code to sort a list without using inbuild funct...read more
  2. Have you implemented llama mod...read more
  3. Explain web scraping using c...read more

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Accenture ml engineer Interview Process

based on 2 interviews

Interview experience

3.5
  
Good
View more

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Accenture ml engineer Salary
based on 30 salaries
₹6 L/yr - ₹21.9 L/yr
30% more than the average ml engineer Salary in India
View more details

Accenture ml engineer Reviews and Ratings

based on 5 reviews

4.6/5

Rating in categories

4.1

Skill development

4.5

Work-life balance

3.6

Salary

4.3

Job security

4.0

Company culture

3.3

Promotions

4.1

Work satisfaction

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