NLP Engineer

About the role

Develop and implement NLP models and algorithms for text processing and language understanding. Work on text classification, sentiment analysis, named entity recognition (NER), and text summarization. Perform text preprocessing, tokenization, stemming, lemmatization, and feature extraction. Build and evaluate machine learning and deep learning models for NLP applications.

What you'll do

• Develop and implement NLP models and algorithms for text processing and language understanding
• Work on text classification, sentiment analysis, named entity recognition (NER), and text summarization
• Perform text preprocessing, tokenization, stemming, lemmatization, and feature extraction
• Build and evaluate machine learning and deep learning models for NLP applications
• Work with NLP libraries such as NLTK, spaCy, Hugging Face Transformers, and Gensim

What you need

• Open to freshers
• NLP
• Machine learning
• SQL
• Python
• Pandas
• Scikit-learn
• Any graduate

Good to have

• Deep learning
• NumPy
• LLMs