NLP Engineer (Natural Language Processing)

An NLP Engineer (Natural Language Processing) is an IT specialist who develops and implements software solutions that enable machines to understand and process human natural language. This field combines elements of artificial intelligence (AI), machine learning, computational linguistics and text analysis. The main goal of an NLP Engineer is to develop systems that can interpret, analyze and generate human language in a meaningful way for technological applications.

Among the responsibilities of an NLP Engineer are the analysis and processing of large volumes of textual data, the development of machine learning algorithms and the creation of models that improve the accuracy and efficiency of language understanding. These specialists use tokenization, stemming, lemmatization, and Named Entity Recognition (NER) techniques to segment and structure textual data into useful forms for automated systems.

An NLP Engineer must have solid knowledge of programming languages ​​such as Python, and be familiar with specific libraries and frameworks such as TensorFlow, PyTorch, spaCy, NLTK and Hugging Face. These engineers also work closely with data science and AI experts to improve the accuracy of language processing algorithms, working on tasks such as sentiment analysis, text classification, machine translation, chatbots and virtual assistant systems.

Required skills include deep understanding of statistics, machine learning algorithms and linguistic models. As artificial intelligence continues to evolve, the demand for NLP Engineers is increasing, as solutions that can process and understand natural language are crucial in various industries, from technology and healthcare to financial services and marketing.