NLP Engineer

NLP Engineer



As an NLP engineer, you will be responsible for designing, developing, and deploying natural language processing (NLP) systems and applications that can handle various tasks such as text analysis, text generation, information extraction, question answering, dialogue, summarization, translation, and more. You will work with large-scale datasets, cutting-edge technologies, and state-of-the-art techniques to create innovative solutions for various domains and industries.


Research, design, implement, and evaluate NLP systems and applications using various tools and frameworks such as TensorFlow, PyTorch, spaCy, NLTK, etc.

Apply knowledge of NLP fundamentals such as syntax, semantics, pragmatics, morphology, phonology, and discourse, as well as state-of-the-art techniques such as deep learning, transformers, attention, and pre-trained models.

Analyze and process large-scale text corpora from various sources and domains, and perform data cleaning, preprocessing, annotation, and quality assurance.

Develop and optimize NLP pipelines, models, and algorithms, and ensure their scalability, robustness, and performance.

Conduct experiments, analyze results, and report findings in the form of technical reports, papers, or presentations.

Stay updated with the latest developments and trends in NLP research and industry, and explore new ideas and opportunities for improvement.

Collaborate with other engineers, researchers, product managers, and users, and communicate effectively on the requirements, design, and evaluation of NLP systems and applications.

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