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Vionsys IT solutions Machine Learning Engineer Interview Questions and Answers

Updated 23 May 2024

Vionsys IT solutions Machine Learning Engineer Interview Experiences

1 interview found

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

I applied via Naukri.com and was interviewed in Apr 2024. There were 3 interview rounds.

Round 1 - Coding Test 

Very Hard coding round

Round 2 - Technical 

(3 Questions)

  • Q1. Technical question related to Machine Learning, statistics ,nlp, deep learning.
  • Q2. What is Bessel correction?
  • Ans. 

    Bessel correction is a method used to correct the bias in sample variance estimation.

    • Bessel correction is used to adjust the sample variance to provide an unbiased estimate of the population variance.

    • It involves dividing the sum of squared differences by (n-1) instead of n, where n is the sample size.

    • This correction accounts for the fact that sample variance tends to underestimate the population variance.

    • For example, i...

  • Answered by AI
  • Q3. ML Architecture
Round 3 - HR 

(1 Question)

  • Q1. Moderate round simple question

Interview questions from similar companies

I applied via Campus Placement and was interviewed before Mar 2021. There were 4 interview rounds.

Round 1 - Coding Test 

90 minute test on hacker rank consisting of 3 coding questions all of medium difficulty. Most candidates are required to solve more than 1 question.

Round 2 - Technical 

(3 Questions)

  • Q1. Questions on concepts of OOPS and Operating Systems.
  • Q2. Find least common ancestor of a binary tree.
  • Ans. 

    Find the lowest common ancestor of a binary tree.

    • Traverse the tree recursively from the root node.

    • If the current node is null or matches either of the given nodes, return the current node.

    • Recursively search for the nodes in the left and right subtrees.

    • If both nodes are found in different subtrees, return the current node.

    • If both nodes are found in the same subtree, continue the search in that subtree.

  • Answered by AI
  • Q3. Find first missing positive integer from an array for non-negative integers.
  • Ans. 

    Find first missing positive integer from an array of non-negative integers.

    • Create a hash set to store all positive integers in the array

    • Loop through the array and add all positive integers to the hash set

    • Loop through positive integers starting from 1 and return the first missing integer not in the hash set

  • Answered by AI
Round 3 - Technical 

(1 Question)

  • Q1. Design a parking lot
  • Ans. 

    Design a parking lot

    • Consider the size and capacity of the parking lot

    • Decide on the layout and organization of parking spaces

    • Implement a system to manage parking availability and reservations

    • Include features like ticketing, payment, and security

    • Consider scalability and future expansion

  • Answered by AI
Round 4 - Technical 

(2 Questions)

  • Q1. Given a grid which represents an ocean( For all index i,j if mat[i][j] = 1 is island and mat[i][j] = 0 means water). Find the island with largest area.
  • Q2. Given list of strings group them into distinct anagrams.
  • Ans. 

    Group list of strings into distinct anagrams.

    • Create a hash table with sorted string as key and list of anagrams as value.

    • Iterate through the list of strings and add each string to its corresponding anagram list in the hash table.

    • Return the values of the hash table as a list of lists.

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Arcesium Senior Software Engineer interview:
  • Low Level Design
  • Object Oriented Programming
  • Data Structures
  • Algorithms
  • DBMS
Interview preparation tips for other job seekers - Focus on Data Structures & Algorithms and Low Level Designing. Some brushup of DBMS will also help.

Skills evaluated in this interview

I applied via Campus Placement and was interviewed before Apr 2020. There were 3 interview rounds.

Interview Questionnaire 

4 Questions

  • Q1. What are the Different types of Learning?
  • Ans. 

    Different types of learning include supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, and transfer learning.

    • Supervised learning: Training a model using labeled data to make predictions or classifications.

    • Unsupervised learning: Training a model on unlabeled data to discover patterns or relationships.

    • Semi-supervised learning: Combining labeled and unlabeled data for training.

    • Re...

  • Answered by AI
  • Q2. What are Different ML algorithms?
  • Ans. 

    ML algorithms are techniques used to train models to make predictions or decisions based on data.

    • Supervised learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, k-nearest neighbors

    • Unsupervised learning algorithms: K-means clustering, hierarchical clustering, principal component analysis

    • Reinforcement learning algorithms: Q-learning, SARSA

    • Deep learning algo...

  • Answered by AI
  • Q3. What is Regression?
  • Ans. 

    Regression is a statistical method used to analyze the relationship between a dependent variable and one or more independent variables.

    • Regression is used to predict continuous numerical values.

    • It helps in identifying the strength and direction of the relationship between variables.

    • Linear regression is a common type of regression used to model the relationship between two variables.

    • Examples of regression include predict...

  • Answered by AI
  • Q4. What is Naive Bayes in ML?
  • Ans. 

    Naive Bayes is a probabilistic algorithm that uses Bayes' theorem to classify data based on prior knowledge.

    • Naive Bayes assumes that all features are independent of each other.

    • It is commonly used for text classification and spam filtering.

    • There are three types of Naive Bayes classifiers: Gaussian, Multinomial, and Bernoulli.

    • It is a fast and simple algorithm that works well with high-dimensional datasets.

    • Naive Bayes can...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - This interview was a technical one. It started with a project that I mentioned in my resume. I explained it perfectly (obviously, I did it on my own lol). Secondly, the interviewer noticed about the C++ language mentioned in my resume and then asked me about the basic C++ concepts and OOPS part of C++. It lasted for about 15 minutes. Then the interviewer shifted on to the Machine Learning questions. He started with the basic questions like different types of learning and asked about different ML algorithms. You have to study / revise these questions for sure because these are like mandatory questions asked by the interviewer. It stretched for about another 15 minutes and then there was a quick discussion on your past experience if any mentioned in your resume. In my case it was based on the Internship that I pursued in one of the teaching institution. Obviously, you should know the roles and responsibilities during your time at the internship or your past job. It was easy overall (not moderate also). The interviewer was very chilled out and didn't grill me anytime in my interview. Just be prepared and rest will be a cake-walk.

Skills evaluated in this interview

I applied via Naukri.com and was interviewed before Dec 2020. There were 4 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Questions about Machine Learning And deep learning algorithms, pandas, numpy, TF, keras, Cloud servises like GCP, AWS

Interview Preparation Tips

Interview preparation tips for other job seekers - Have good knowledge of Theory and GCP.
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Sep 2023. There were 4 interview rounds.

Round 1 - Coding Test 

Hackerearth platform was provided , Question was based on Tree dsa. Need to run and pass few test cases.

Round 2 - Case Study 

Design patterns , chess LLD

Round 3 - Case Study 

Design blocking queue which can handle the multithreading scenario

Round 4 - One-on-one 

(5 Questions)

  • Q1. Last project experiences
  • Ans. 

    Developed a web application for tracking inventory and sales data

    • Used React for front-end development

    • Implemented RESTful APIs using Node.js and Express

    • Utilized MongoDB for database management

  • Answered by AI
  • Q2. And management cases.
  • Q3. Discussion about recent projects
  • Q4. Discussion about working in projects for which hiring for
  • Q5. Discussion about why leaving previous company.

I applied via Campus Placement and was interviewed in Jul 2022. There were 3 interview rounds.

Round 1 - Aptitude Test 

Questions based or percentage, profit loss, ratio

Round 2 - Technical 

(2 Questions)

  • Q1. Explain about stacks
  • Ans. 

    Stacks are a data structure that follows the Last In First Out (LIFO) principle.

    • Elements are added and removed from the top of the stack

    • Common operations include push (add element) and pop (remove element)

    • Stacks can be implemented using arrays or linked lists

    • Examples of stack usage include function call stack and undo/redo functionality in text editors

  • Answered by AI
  • Q2. To find middle number in the linked list
  • Ans. 

    To find the middle number in a linked list.

    • Traverse the linked list using two pointers, one moving twice as fast as the other.

    • When the fast pointer reaches the end, the slow pointer will be at the middle node.

    • If the linked list has even number of nodes, there will be two middle nodes. Return either one.

  • Answered by AI
Round 3 - HR 

(2 Questions)

  • Q1. Introduction , hobbies, goals
  • Q2. Strength, weakness, short term and long term goals

Interview Preparation Tips

Interview preparation tips for other job seekers - Be good at data structures and oops concepts

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Coding Test 

Dsa problems dp and tress problem

Round 2 - Technical 

(2 Questions)

  • Q1. Tell me about your self
  • Ans. 

    I am a passionate software engineer with 5 years of experience in developing web applications using various technologies.

    • 5 years of experience in software development

    • Proficient in developing web applications

    • Skilled in using various technologies

    • Passionate about software engineering

  • Answered by AI
  • Q2. Projects and intership

Interview Preparation Tips

Interview preparation tips for other job seekers - Learn DSA
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

The test was in hackerrank platform, it was moderate level.

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Campus Placement and was interviewed in Jul 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Dp, trees and basic time complexity

Round 2 - Technical 

(2 Questions)

  • Q1. Tell me about your self
  • Ans. 

    I am a software engineer with 5 years of experience in developing web applications using Java, Spring, and Angular.

    • 5 years of experience in software development

    • Proficient in Java, Spring, and Angular

    • Strong problem-solving skills

    • Experience working in Agile development environment

  • Answered by AI
  • Q2. Projects and intership

Interview Preparation Tips

Topics to prepare for Junglee Games Software Engineer interview:
  • DSA
Interview preparation tips for other job seekers - Learn DSA
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - One-on-one 

(2 Questions)

  • Q1. Question on linkedlist, remove duplicates
  • Q2. House robber 2,3

Vionsys IT solutions Interview FAQs

How many rounds are there in Vionsys IT solutions Machine Learning Engineer interview?
Vionsys IT solutions interview process usually has 3 rounds. The most common rounds in the Vionsys IT solutions interview process are Coding Test, Technical and HR.
What are the top questions asked in Vionsys IT solutions Machine Learning Engineer interview?

Some of the top questions asked at the Vionsys IT solutions Machine Learning Engineer interview -

  1. What is Bessel correcti...read more
  2. Technical question related to Machine Learning, statistics ,nlp, deep learni...read more
  3. Moderate round simple quest...read more

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Vionsys IT solutions Machine Learning Engineer Interview Process

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Excellent
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