NLP Engineer

NLP Engineer Interview Questions and Answers

Updated 24 Feb 2024

Q1. What is text embedding?

Ans.

Text embedding is a technique to convert text data into numerical vectors for machine learning models.

  • Text embedding captures semantic meaning of words in a continuous vector space.

  • Popular methods include Word2Vec, GloVe, and BERT.

  • Embeddings can be pre-trained or learned from scratch depending on the task.

  • They are used in NLP tasks like sentiment analysis, text classification, and machine translation.

Q2. Challenges in project

Ans.

One of the challenges in the project was integrating multiple NLP models with different architectures.

  • Ensuring compatibility and consistency between models

  • Handling different input formats and output structures

  • Optimizing performance and computational resources

  • Addressing potential conflicts or biases between models

NLP Engineer Jobs

Senior NLP Engineer (6-11 yrs) 6-11 years
Sapphire Management Consultancy
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₹ 50 L/yr - ₹ 70 L/yr
NLP Engineer 2-6 years
Findability Sciences
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Gnani.ai - Senior NLP Engineer - Large Language Models (5-7 yrs) 5-7 years
GNANI INNOVATIONS PRIVATE LIMITED
3.6
₹ 15 L/yr - ₹ 20 L/yr
Bangalore / Bengaluru
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