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Fynd Machine Learning Engineer Interview Questions and Answers
Fynd Machine Learning Engineer Interview Experiences
1 interview found
Anonymous
I applied via Company Website and was interviewed in Feb 2024. There were 2 interview rounds.
(1 Question)
- Q1. There were total 5 rounds. Three technical rounds, managerial round and the HR round. First one is really basic. They asked me about general questions about inference latency, difference between list and s...
(1 Question)
- Q1. Write a code for pre processing the image data before feeding it to model. The image ratios should be maintained. And the basics of django, like how to register more than one model in django.
- Ans.
Preprocess image data while maintaining ratios and register multiple models in Django.
Resize images while maintaining aspect ratio using libraries like PIL or OpenCV
Normalize pixel values to a range of 0-1 for better model performance
Augment data using techniques like rotation, flipping, or cropping to increase dataset size
Use data generators in Keras to efficiently load and preprocess images in batches
Register multipl...
Skills evaluated in this interview
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I applied via Naukri.com and was interviewed in Jan 2024. There were 2 interview rounds.
You can get the information and answer in Google
(3 Questions)
- Q1. Xg boost, naive Bayes algorithm, standard deviation formula and detailed information about that
- Q2. What is xg boost All about naive Bayes algorithm Standard deviations and the formula
- Q3. What is the Byes rules and there in deep
- Ans.
Bayes' rule is a fundamental concept in probability theory that allows us to update our beliefs based on new evidence.
Bayes' rule is named after Thomas Bayes, an 18th-century mathematician.
It is also known as Bayes' theorem or Bayes' law.
Bayes' rule calculates the probability of an event based on prior knowledge and new evidence.
It is commonly used in machine learning and statistical inference.
The formula for Bayes' ru...
Interview Preparation Tips
Skills evaluated in this interview
I applied via LinkedIn and was interviewed in Jan 2022. There were 4 interview rounds.
(1 Question)
- Q1. Stock buy and sell ( leetcode easy and medium)
(2 Questions)
- Q1. Questions on probability
- Q2. Bias and Variance , underfitting and overfitting
(1 Question)
- Q1. Transformer architecture
Interview Preparation Tips
I applied via LinkedIn and was interviewed in Apr 2022. There were 2 interview rounds.
Normal question on python, SQL, Data structure, and 2 coding questions on Python & SQL.
This coding round was face-to-face. It was again on hackerrank portal. The interviewer just wants to know how you think and take approaches in terms of time and space complexity. and then you do code.
Interview Preparation Tips
- Python
- SQL
- Machine Learning
- Computer Vision
I applied via Naukri.com and was interviewed in Jan 2024. There were 2 interview rounds.
You can get the information and answer in Google
(3 Questions)
- Q1. Xg boost, naive Bayes algorithm, standard deviation formula and detailed information about that
- Q2. What is xg boost All about naive Bayes algorithm Standard deviations and the formula
- Q3. What is the Byes rules and there in deep
- Ans.
Bayes' rule is a fundamental concept in probability theory that allows us to update our beliefs based on new evidence.
Bayes' rule is named after Thomas Bayes, an 18th-century mathematician.
It is also known as Bayes' theorem or Bayes' law.
Bayes' rule calculates the probability of an event based on prior knowledge and new evidence.
It is commonly used in machine learning and statistical inference.
The formula for Bayes' ru...
Interview Preparation Tips
Skills evaluated in this interview
Not so tough and you will learn a lot of things that are new to you
The duration is about 90 minute
I applied via LinkedIn and was interviewed in Jan 2022. There were 4 interview rounds.
(1 Question)
- Q1. Stock buy and sell ( leetcode easy and medium)
(2 Questions)
- Q1. Questions on probability
- Q2. Bias and Variance , underfitting and overfitting
(1 Question)
- Q1. Transformer architecture
Interview Preparation Tips
I applied via LinkedIn and was interviewed in Apr 2022. There were 2 interview rounds.
Normal question on python, SQL, Data structure, and 2 coding questions on Python & SQL.
This coding round was face-to-face. It was again on hackerrank portal. The interviewer just wants to know how you think and take approaches in terms of time and space complexity. and then you do code.
Interview Preparation Tips
- Python
- SQL
- Machine Learning
- Computer Vision
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Fynd Machine Learning Engineer Interview Process
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