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Persistent Systems Machine Learning Engineer Interview Questions and Answers

Updated 25 Oct 2024

Persistent Systems Machine Learning Engineer Interview Experiences

1 interview found

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Naukri.com and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Project Description as per resume.
  • Q2. What is BERT? Explain the architecture
  • Ans. 

    BERT is a pre-trained natural language processing model developed by Google.

    • Bidirectional Encoder Representations from Transformers

    • Utilizes transformer architecture with attention mechanisms

    • Pre-trained on large corpus of text data for various NLP tasks

    • Fine-tuned for specific tasks like text classification, question answering, etc.

  • Answered by AI

Skills evaluated in this interview

Persistent Systems Interview FAQs

How many rounds are there in Persistent Systems Machine Learning Engineer interview?
Persistent Systems interview process usually has 1 rounds. The most common rounds in the Persistent Systems interview process are One-on-one Round.
How to prepare for Persistent Systems Machine Learning Engineer interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Persistent Systems. The most common topics and skills that interviewers at Persistent Systems expect are Brokerage and Order Fulfillment.

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Persistent Systems Machine Learning Engineer Interview Process

based on 1 interview

Interview experience

1
  
Bad
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Persistent Systems Machine Learning Engineer Salary
based on 29 salaries
₹3 L/yr - ₹10.5 L/yr
43% less than the average Machine Learning Engineer Salary in India
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Persistent Systems Machine Learning Engineer Reviews and Ratings

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4.0/5

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4.0

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4.0

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2.0

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3.0

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3.0

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4.0

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