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Rapyder Cloud Solutions Ai Ml Engineer Interview Questions, Process, and Tips

Updated 21 Dec 2024

Rapyder Cloud Solutions Ai Ml Engineer Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Dec 2023. There were 3 interview rounds.

Round 1 - HR 

(6 Questions)

  • Q1. Tell me about yourself.
  • Ans. 

    I am a passionate AI ML Engineer with a strong background in machine learning algorithms and data analysis.

    • Completed a Master's degree in Computer Science with a focus on artificial intelligence

    • Proficient in programming languages such as Python, R, and Java

    • Experience working on projects involving natural language processing and computer vision

    • Strong problem-solving skills and ability to work in a team environment

  • Answered by AI
  • Q2. What are your qualifications?
  • Ans. 

    I have a Master's degree in Artificial Intelligence and Machine Learning, along with 3 years of industry experience working on various AI projects.

    • Master's degree in Artificial Intelligence and Machine Learning

    • 3 years of industry experience in AI projects

  • Answered by AI
  • Q3. What prior experience do you have?
  • Ans. 

    I have 3 years of experience working as a machine learning engineer in a tech company.

    • Worked on developing and implementing machine learning models for various projects

    • Experience with data preprocessing, feature engineering, and model evaluation

    • Collaborated with cross-functional teams to deploy machine learning solutions

    • Proficient in programming languages like Python and frameworks like TensorFlow and scikit-learn

  • Answered by AI
  • Q4. Do you have any prior knowledge of cloud computing?
  • Ans. 

    Yes, I have prior knowledge of cloud computing.

    • I have experience working with cloud platforms such as AWS, Azure, and Google Cloud

    • I have deployed machine learning models on cloud servers for scalability and flexibility

    • I am familiar with cloud services like EC2, S3, and Lambda functions

  • Answered by AI
  • Q5. Are you open to relocating for the position?
  • Ans. 

    Yes, I am open to relocating for the position.

    • I am willing to relocate for the right opportunity

    • I have relocated for previous positions and am comfortable with the process

    • I am excited about the possibility of experiencing a new location

  • Answered by AI
  • Q6. What are your salary expectations?
  • Ans. 

    My salary expectations are based on my experience, skills, and the market rate for the position.

    • Consider my experience and skills when determining salary

    • Research the market rate for Ai Ml Engineers in the area

    • Open to negotiation based on benefits and opportunities offered

  • Answered by AI
Round 2 - Coding Test 

There was an assignment focused on data manipulation and building a machine learning model. The assignment also required the creation of an architecture diagram, also known as a high-level diagram, for the given problem statement.

Round 3 - Technical 

(9 Questions)

  • Q1. What are the basic concepts of Python, including list comprehensions, decorators, and object-oriented programming principles?
  • Ans. 

    Python basics include list comprehensions, decorators, and object-oriented programming principles.

    • List comprehensions provide a concise way to create lists in Python. Example: squares = [x**2 for x in range(10)]

    • Decorators are functions that modify the behavior of other functions. Example: @my_decorator def my_function():

    • Object-oriented programming principles in Python involve classes, objects, inheritance, and polymorp

  • Answered by AI
  • Q2. There was a easy to moderate kind of competitive programming coding question.
  • Q3. What are the basic SQL? Write SQL query that focus on joins, data normalization, and grouping by aggregations?
  • Q4. How is data manipulated using NumPy and Pandas, and how did you utilize these libraries in your recent projects?
  • Ans. 

    NumPy and Pandas are used to manipulate data in Python, with NumPy focusing on numerical operations and Pandas on data manipulation and analysis.

    • NumPy is used for numerical operations like array manipulation, mathematical functions, and linear algebra.

    • Pandas is used for data manipulation tasks like data cleaning, merging, reshaping, and analysis.

    • NumPy arrays can be easily converted to Pandas DataFrames for more advance...

  • Answered by AI
  • Q5. What is machine learning and what are the different types of machine learning?
  • Ans. 

    Machine learning is a subset of artificial intelligence that involves the development of algorithms and models that enable computers to learn from and make predictions or decisions based on data.

    • Machine learning is a subset of artificial intelligence that focuses on the development of algorithms and models that allow computers to learn from and make predictions or decisions based on data.

    • There are three main types of m...

  • Answered by AI
  • Q6. Can you describe a recent machine learning project you built, including a walkthrough of the project and a code sample?
  • Ans. 

    Developed a sentiment analysis model using natural language processing techniques.

    • Used Python and libraries like NLTK and Scikit-learn for data preprocessing and model building

    • Collected and cleaned a dataset of customer reviews from an e-commerce website

    • Implemented a bag-of-words model and trained a logistic regression classifier

    • Evaluated the model's performance using metrics like accuracy, precision, and recall

  • Answered by AI
  • Q7. Do you have any experience with cloud computing, and if so, how would you approach building the architecture for the given problem statement?
  • Ans. 

    Yes, I have experience with cloud computing and would approach building the architecture by leveraging scalable cloud services like AWS or Azure.

    • Utilize cloud services like AWS or Azure for scalability and flexibility

    • Implement containerization using Docker for easy deployment and management

    • Use serverless computing for cost efficiency and automatic scaling

    • Leverage managed AI services like AWS SageMaker or Azure Machine

  • Answered by AI
  • Q8. What is deep learning? What is neural network? What are types of neural network? What are activation functions?
  • Ans. 

    Deep learning is a subset of machine learning that uses neural networks to learn from data. Neural networks are a set of algorithms modeled after the human brain.

    • Deep learning is a subset of machine learning that uses neural networks to learn from data

    • Neural networks are a set of algorithms modeled after the human brain

    • Types of neural networks include feedforward neural networks, convolutional neural networks, recurren...

  • Answered by AI
  • Q9. What is Generative AI? What are LLM?
  • Ans. 

    Generative AI refers to AI models that can generate new content, such as images, text, or music. LLM stands for Large Language Models, which are AI models trained on vast amounts of text data.

    • Generative AI can be used to create realistic images, generate human-like text, or compose music.

    • LLMs like GPT-3 are trained on large datasets to understand and generate human language.

    • Generative AI has applications in creative fi

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Rapyder Cloud Solutions Ai Ml Engineer interview:
  • Machine Learning
  • GenAI
  • Artificial Intelligence
  • Cloud Computing
Interview preparation tips for other job seekers - Concentrate on the latest advancements in artificial intelligence, machine learning, and generative AI. Pay particular attention to cloud computing and stay updated on recent news regarding AWS and the Rapyder website.

Interview questions from similar companies

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

I applied via Naukri.com and was interviewed before Nov 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 tips
Round 2 - Technical 

(2 Questions)

  • Q1. Oops concepts, core java
  • Q2. Java 8 stream api and lambda

Interview Preparation Tips

Interview preparation tips for other job seekers - prepare well it will be easy to crack. they hire good peope

I applied via LinkedIn and was interviewed before Nov 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 tips
Round 2 - Aptitude Test 

There are basic aptitude questions for freshers level

Round 3 - Technical 

(2 Questions)

  • Q1. Oops concepts, basics of sql
  • Q2. Basics of programming language

Interview Preparation Tips

Interview preparation tips for other job seekers - Go through basics interview questions for freshers level

I applied via Campus Placement and was interviewed in Feb 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 - Coding Test 

It consists of two questions one is easy and another have medium level

Round 3 - One-on-one 

(2 Questions)

  • Q1. Interview panel consist of 3 persons and asked about OOPS concepts and implementation in C++
  • Q2. Asked about use of #define.

Interview Preparation Tips

Topics to prepare for Amantya Technologies Software Engineer interview:
  • Data Structures
  • OOPS
Interview preparation tips for other job seekers - If you are preparing for profile of software Engineer then keep updated yourself and practice more questions on DSA and basic of whatever language you are using .
Practice different questions on array and lsome standard questions of linked list, tree, binary tree, dynamic programming, binary search tree.

I applied via LinkedIn and was interviewed in Aug 2022. There were 2 interview rounds.

Round 1 - Aptitude Test 

40 question some were output question and many questions on Oops concept.

Round 2 - Technical 

(1 Question)

  • Q1. Basic concept of pointer, automata, operating systems

Interview Preparation Tips

Interview preparation tips for other job seekers - Be ready with linked list and basic concept of the language that you choose.

I applied via Internshala and was interviewed in Sep 2022. There were 3 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 - Aptitude Test 

Includes basic aptitude question with additional questions based on coding languages fundamentals.....

Round 3 - Technical 

(2 Questions)

  • Q1. Question were based on oops concepts. My next question was write a code of binary search and explain it and lastly I was asked an aptitude question ...
  • Q2. Write a code of binary search and explain it
  • Ans. 

    Binary search is a search algorithm that finds the position of a target value within a sorted array.

    • Divide the array into two halves

    • Compare the target value with the middle element

    • If the target value matches the middle element, return its position

    • If the target value is less than the middle element, search the left half of the array

    • If the target value is greater than the middle element, search the right half of the arra...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Do work on your aptitude and practise Data structures and algorithms...

Skills evaluated in this interview

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

I applied via Campus Placement and was interviewed in Jun 2023. There were 2 interview rounds.

Round 1 - Coding Test 

Basic coding questions with some aptitude questions

Round 2 - Technical 

(2 Questions)

  • Q1. Object oriented programming
  • Q2. ArrayList deleting even numbers
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before May 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Basic C++, Multithreading
  • Q2. Be prepared for a linked list question
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Coding Test 

Question based on array string linkedlist

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

I applied via Campus Placement and was interviewed in Aug 2023. 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 - Aptitude Test 

- Online aptitude test conducted on college premises
- Apti question types:-
6 sections
1. Pattern finding
2. Logical reasoning
3. Numerical ability
4. Verbal
5. Data Interpretation
6. Technical questions ( CS fundamentals )

Round 3 - Technical 

(2 Questions)

  • Q1. Questions based on Technical skills
  • Q2. Projects and CS fundamentals
Round 4 - HR 

(2 Questions)

  • Q1. Family background
  • Q2. General Personality check questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Aptitude is important if the opportunity is on campus.

Rapyder Cloud Solutions Interview FAQs

How many rounds are there in Rapyder Cloud Solutions Ai Ml Engineer interview?
Rapyder Cloud Solutions interview process usually has 3 rounds. The most common rounds in the Rapyder Cloud Solutions interview process are HR, Coding Test and Technical.
What are the top questions asked in Rapyder Cloud Solutions Ai Ml Engineer interview?

Some of the top questions asked at the Rapyder Cloud Solutions Ai Ml Engineer interview -

  1. What are the basic concepts of Python, including list comprehensions, decorator...read more
  2. How is data manipulated using NumPy and Pandas, and how did you utilize these l...read more
  3. Can you describe a recent machine learning project you built, including a walkt...read more

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Rapyder Cloud Solutions Ai Ml Engineer Interview Process

based on 1 interview

Interview experience

5
  
Excellent
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Rapyder Cloud Solutions Ai Ml Engineer Salary
based on 4 salaries
₹8.5 L/yr - ₹13.5 L/yr
7% less than the average Ai Ml Engineer Salary in India
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