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Mercor Data Scientist and Machine Learning Engineer Interview Questions and Answers

Updated 7 Mar 2024

Mercor Data Scientist and Machine Learning Engineer Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(2 Questions)

  • Q1. Types of performance testing in machine learning
  • Ans. 

    Types of performance testing in machine learning include cross-validation, hyperparameter tuning, and model evaluation metrics.

    • Cross-validation: Splitting the data into multiple subsets to train and test the model on different combinations.

    • Hyperparameter tuning: Adjusting the parameters of the model to optimize performance.

    • Model evaluation metrics: Using metrics like accuracy, precision, recall, and F1 score to evaluat

  • Answered by AI
  • Q2. What is deep learning
  • Ans. 

    Deep learning is a subset of machine learning that uses neural networks to learn complex patterns from data.

    • Deep learning involves training neural networks with multiple layers to learn representations of data.

    • It is used in various applications such as image and speech recognition, natural language processing, and autonomous driving.

    • Examples of deep learning frameworks include TensorFlow, PyTorch, and Keras.

  • Answered by AI

Skills evaluated in this interview

Interview questions from similar companies

I applied via Company Website and was interviewed in Jan 2022. 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 - Coding Test 

My skills python and Java

Interview Preparation Tips

Topics to prepare for TCS Data Scientist and Machine Learning Engineer interview:
  • Python
  • Java
  • Machine Learning
Interview preparation tips for other job seekers - I am pursuing b tech computer science engineering
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. What is your favourite algorithm and how have you implemented it?
  • Ans. 

    My favorite algorithm is Random Forest, which I have implemented for predicting customer churn in a telecom company.

    • Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction.

    • I have implemented Random Forest in Python using scikit-learn library for a telecom company to predict customer churn based on various features like call d...

  • Answered by AI

Skills evaluated in this interview

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

Python arrays loops data structures

Round 2 - Technical 

(2 Questions)

  • Q1. Project discussion technical challenges
  • Q2. Deep learning neural network
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

I applied via Company Website and was interviewed in Mar 2023. There were 4 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 - One-on-one 

(1 Question)

  • Q1. Basic ML questions and previous project-related queries
Round 3 - One-on-one 

(1 Question)

  • Q1. Advanced ML questions
Round 4 - HR 

(1 Question)

  • Q1. Project handle queires

Interview Preparation Tips

Topics to prepare for TCS Data Scientist and Machine Learning Engineer interview:
  • Data Science
Interview preparation tips for other job seekers - explain point to point and keep it simple. learn all machine learning algorithms and deep learning concepts and statistics concepts
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 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
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Aptitude Test 

Two questions asked which have difficulty level is high

Interview Preparation Tips

Interview preparation tips for other job seekers - Work on DSA leetcode medium to hard question
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

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

Mercor Interview FAQs

How many rounds are there in Mercor Data Scientist and Machine Learning Engineer interview?
Mercor interview process usually has 1 rounds. The most common rounds in the Mercor interview process are Technical.
What are the top questions asked in Mercor Data Scientist and Machine Learning Engineer interview?

Some of the top questions asked at the Mercor Data Scientist and Machine Learning Engineer interview -

  1. types of performance testing in machine learn...read more
  2. what is deep learn...read more

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Mercor Data Scientist and Machine Learning Engineer Interview Process

based on 1 interview

Interview experience

3
  
Average
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Software Engineer
3 salaries
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₹5 L/yr - ₹7.2 L/yr

Machine Learning Engineer
3 salaries
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₹17 L/yr - ₹32 L/yr

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