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We are looking for a Junior Natural Language Processing (NLP) Engineer to join our Natural Language Processing team at Neurotechnology. Our NLP department tackles a wide range of sophisticated tasks, from developing advanced speech-to-text and text-to-speech models and text summarization tools to building intelligent virtual chatbot assistants. Our innovative work, including the development of the first Large Language Model (LLM) for the Lithuanian language, has earned us recognition from the Artificial Intelligence Association of Lithuania. As an NLP Engineer at Neurotechnology, you'll contribute to these advanced NLP projects, conducting specialized research on the Lithuanian language, as well as other languages, and collaborating with a team of experts in the field.
Job Responsibility:
Contribute to advanced NLP projects
Conduct specialized research on the Lithuanian language, as well as other languages
Collaborate with a team of experts in the field
Requirements:
Strong Python knowledge, particularly for working with text/voice data
Basic understanding of Natural Language Processing (tokenization, stemming, lemmatization, NER)
Familiarity with at least one NLP or ML library (e.g., SpaCy, NLTK, scikit-learn, Hugging Face)
Some experience with data preprocessing and feature engineering for text/voice
Passion for AI, deep learning, and language models
Basic mathematical understanding of ML concepts (vectors, probability, linear algebra)
Familiarity with Jupyter Notebook and version control (Git)
Ability to learn quickly and adapt to new tools and techniques
Good communication skills and willingness to work in a team
Nice to have:
Some experience with PyTorch or TensorFlow
Exposure to cloud platforms (AWS, GCP, Azure)
Interest in deploying NLP models (Flask, FastAPI, Docker)
What we offer:
Competitive salary and performance bonuses
Career growth and learning – access top-tier courses, training programs, and mentorship
Team events and fun perks – annual company events, team buildings, and game nights
Flexibility that works for you – flexible work arrangements
Health-related bonuses – private health insurance arrangements available
Cutting-edge hardware experience – gain hands-on experience working with A100/H100 GPUs