About this 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. Work with NLP libraries such as NLTK, spaCy, Hugging Face Transformers, and Gensim. Develop solutions using Large Language M…
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.