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Phenom Machine Learning Engineer Intern Interview Questions, Process, and Tips

Updated 30 Jun 2024

Phenom Machine Learning Engineer Intern Interview Experiences

1 interview found

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

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

Round 1 - One-on-one 

(3 Questions)

  • Q1. Different gradient optimizations.
  • Ans. 

    Different gradient optimization algorithms improve training efficiency in machine learning models.

    • Gradient Descent: Basic optimization algorithm that updates parameters in the opposite direction of the gradient.

    • Stochastic Gradient Descent (SGD): Updates parameters using a subset of training data at each iteration.

    • Mini-batch Gradient Descent: Combines features of both Gradient Descent and SGD by using a small batch of t...

  • Answered by AI
  • Q2. CNNs vs MLP vs RNNs
  • Ans. 

    CNNs are used for image recognition, MLPs for simple classification tasks, and RNNs for sequential data like text or time series.

    • CNNs are best suited for image recognition tasks due to their ability to capture spatial dependencies.

    • MLPs are commonly used for simple classification tasks where the input features are independent of each other.

    • RNNs are ideal for sequential data like text or time series where the order of in...

  • Answered by AI
  • Q3. String match DP problem.
  • Ans. 

    String match DP problem involves finding the longest common subsequence between two strings.

    • Use dynamic programming to solve this problem efficiently.

    • Create a 2D array to store the lengths of common subsequences.

    • Iterate through the strings to fill the array and find the longest common subsequence.

    • Example: Given strings 'ABCD' and 'ACD', the longest common subsequence is 'ACD'.

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

(2 Questions)

  • Q1. Questions related to projects
  • Q2. Different ways to tackle data imbalances, missing data, etc.
  • Ans. 

    Various techniques like resampling, data augmentation, imputation, and ensemble methods can be used to tackle data imbalances and missing data.

    • Resampling techniques like oversampling (SMOTE) and undersampling can balance class distribution.

    • Data augmentation methods like generating synthetic data points can help in increasing the size of the minority class.

    • Imputation techniques like mean, median, mode imputation can be ...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Focus on fundamentals. Be 100% about the work you mention in resume.

Skills evaluated in this interview

Interview questions from similar companies

I applied via Company Website and was interviewed in Feb 2021. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. They asked python memory management, string manipulations, regex, and about my current project

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep strong hold on python basics and data structure

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

Interview Questionnaire 

3 Questions

  • Q1. Questions on java8
  • Q2. Questions on multithreading
  • Q3. Questions on exception handling

Interview Preparation Tips

Interview preparation tips for other job seekers - First round was a coding round where interviewer asked questions randomly and were asked to optimise our code. Next round was a technical round where everyone needs to be thorough with their technical skills
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Jun 2024. There were 3 interview rounds.

Round 1 - Coding Test 

DSA, 2hrs. along with aptitude and reasoning que were asked

Round 2 - english test 

(2 Questions)

  • Q1. Verbal test was taken
  • Q2. Grammar, punctuation, article ets were asked
Round 3 - HR 

(2 Questions)

  • Q1. Tell me about yourself
  • Q2. Why you want to join us

I applied via Recruitment Consultant and was interviewed in Feb 2021. There were 3 interview rounds.

Interview Questionnaire 

8 Questions

  • Q1. What are the solid principles?
  • Ans. 

    SOLID principles are a set of five design principles for writing maintainable and scalable code.

    • Single Responsibility Principle (SRP) - a class should have only one reason to change

    • Open-Closed Principle (OCP) - a class should be open for extension but closed for modification

    • Liskov Substitution Principle (LSP) - a subclass should be able to replace its parent class without affecting the system's behavior

    • Interface Segreg...

  • Answered by AI
  • Q2. Difference between ref and out?
  • Ans. 

    Ref and out are both used for passing arguments by reference in C#. Ref is bidirectional while out is unidirectional.

    • Ref and out are used to pass arguments by reference instead of by value

    • Ref is used for both input and output parameters while out is only used for output parameters

    • Ref requires the variable to be initialized before passing while out does not

    • Example: void MyMethod(ref int x) { x = x + 1; } and void MyMeth

  • Answered by AI
  • Q3. Explain about your project its architecture.
  • Q4. What are the rest APIs and popular status codes?
  • Ans. 

    REST APIs are a way to interact with web services. Popular status codes include 200, 404, and 500.

    • REST APIs allow clients to access and manipulate resources on a server using HTTP requests

    • Common HTTP methods used in REST APIs include GET, POST, PUT, and DELETE

    • Status codes indicate the success or failure of a request, with 2xx codes indicating success and 4xx/5xx codes indicating errors

    • Some popular status codes include ...

  • Answered by AI
  • Q5. Explain memory management in c#.
  • Ans. 

    Memory management in C# involves automatic garbage collection and the use of pointers.

    • C# uses a garbage collector to automatically manage memory allocation and deallocation.

    • Developers can use pointers to directly manipulate memory, but this is not recommended.

    • C# also provides tools for managing memory usage, such as the IDisposable interface and the using statement.

  • Answered by AI
  • Q6. What are the latest architectural trends in c#?
  • Ans. 

    Microservices, cloud-native, and serverless are the latest architectural trends in C#.

    • Microservices architecture is gaining popularity due to its scalability and flexibility.

    • Cloud-native architecture focuses on building applications that are optimized for cloud environments.

    • Serverless architecture allows developers to focus on writing code without worrying about infrastructure management.

    • Other trends include containeri...

  • Answered by AI
  • Q7. Comparison between .net core and framework
  • Ans. 

    Both .NET Core and Framework are used for developing Windows applications, but Core is cross-platform and lightweight.

    • Core is open-source and modular, while Framework is a monolithic framework

    • Core has better performance and scalability than Framework

    • Core supports microservices architecture, while Framework does not

    • Core has a smaller footprint and can be deployed as a single executable

    • Framework has better backward compa

  • Answered by AI
  • Q8. Major advancements in .net core
  • Ans. 

    Major advancements in .NET Core include improved performance, cross-platform compatibility, and enhanced security features.

    • Improved performance through the use of Span and other optimizations

    • Cross-platform compatibility with support for Linux and macOS

    • Enhanced security features such as runtime code generation and data protection

    • Introduction of .NET Core 3.0 with support for Windows Desktop applications

    • Integration with ...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep it simple and straightforward

Skills evaluated in this interview

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

(1 Question)

  • Q1. Given the react machine coding example
  • Ans. 

    The react machine coding example involves demonstrating knowledge and skills in React programming.

    • Understand the component lifecycle in React

    • Demonstrate proficiency in state management using hooks or Redux

    • Show ability to create reusable components and handle user input

    • Implement routing and navigation in React applications

  • Answered by AI
Round 2 - Behavioral 

(1 Question)

  • Q1. Explain about your projects
  • Ans. 

    I have worked on various projects including a web application for inventory management and a mobile app for task tracking.

    • Developed a web application using React for inventory management system

    • Created a mobile app using Flutter for task tracking and reminders

    • Implemented RESTful APIs for communication between frontend and backend systems

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Phone screen about previous experience
Round 2 - Technical 

(1 Question)

  • Q1. Mobile app development basics
Round 3 - HR 

(1 Question)

  • Q1. Culture fit questions

I applied via Campus Placement and was interviewed in Nov 2021. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Reversing a string
  • Ans. 

    Reversing a string involves flipping the order of characters in a given string.

    • Create an empty string to store the reversed string

    • Iterate through the original string from the end to the beginning

    • Append each character to the empty string

    • Return the reversed string

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Basic question oh OS,threads,OOPS

Skills evaluated in this interview

I applied via Recruitment Consulltant and was interviewed in Oct 2021. 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 Resume tips
Round 2 - Technical 

(2 Questions)

  • Q1. Technical questions .
  • Q2. All objects oriented questions
Round 3 - One-on-one 

(1 Question)

  • Q1. Managerial questions.

Interview Preparation Tips

Interview preparation tips for other job seekers - B prepare technically as well as with all programming concepts.

Interview Questionnaire 

1 Question

  • Q1. Questions related to AWS dynamodb,lambdas,cloudwatch logs,Athena,json filehandling,decorators,classes and others oops concepts ,string manipulation, word frequency problems, dictionary,boto3 scripting
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Phenom Interview FAQs

How many rounds are there in Phenom Machine Learning Engineer Intern interview?
Phenom interview process usually has 2 rounds. The most common rounds in the Phenom interview process are One-on-one Round.
What are the top questions asked in Phenom Machine Learning Engineer Intern interview?

Some of the top questions asked at the Phenom Machine Learning Engineer Intern interview -

  1. Different ways to tackle data imbalances, missing data, e...read more
  2. Different gradient optimizatio...read more
  3. String match DP probl...read more

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Phenom Machine Learning Engineer Intern Interview Process

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Interview experience

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Good
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