NLP Engineer

Trask is a company full of hundreds of IT experts who have been bringing cutting-edge technologies to the Czech and European market for more than a quarter of a century. We have the largest integration department in Central Europe.

Our Data Science team uses data and its power to help business make the right strategic and operational decisions. We work with large clients in the financial sector, optimise processes at ŠKODA, create real-time recomendation engines... And that's just a small sample. Join us and find out more, we are currently looking for an NLP Engineer.

• Conceiving, designing and developing NLP applications
• Participation in NLP projects from A to Z: from initial customer request to deployment and monitoring of models
• Support and development of existing NLP projects - adding functionalities, extending existing solutions
• Solving classification, extraction, semantic search tasks
• Application of different NLP methods: we have tasks for which lemmatization, POS (part of speech) tagging, TF-IDF are suitable; or use of models from the BERT family and their fine-tuning; use of LLMs (e.g. OpenAI ChatGPT) for summarization, weak-labelling, question-answering and semantic search
• Development of both NLP prototypes (e.g. LLMs + Vector DB + Streamlit) and full-fledged NLP applications in the form of REST APIs or pipelines according to MLOps principles
• Participation not only in NLP, but also in other projects within the Data Science department - we encounter both tabular datasets and audio or images
• Interacting with teams across the company - working on projects with experts in RPA, in DMS, in integrations, in connectivity and infotainment. There will also be international projects
• Education - NLP is a rapidly evolving field and every six months there is a new standard, a new method, a new use case, so we need to spend some time on research and occasionally read not only Medium, but also an article on Arxiv
• Possibility to influence the department's portfolio to a large extent - just come up with an idea and prototype it in our internal lab, then your prototype will be offered to customers

• Proven experience in NLP, AI/ML
• Ideally educated in a relevant field - computer science, mathematics, information technology, etc.
• Understanding of NLP techniques for text representation, data structures and modelling
• Very good knowledge of Python, knowledge of R an advantage
• Experience with commonly used tools in Data Science/Machine Learning areas: numpy, pandas, scikit-learn, transformers. Experience with NLP libraries LangChain, NLTK, Stanza, spacy an advantage
• Experience with deployment of models and applications
• Experience with cloud technologies - Azure, AWS
• Communication skills - in this role you will meet a variety of people, both technical and business, so you need to be able to communicate at different levels of detail
• Experience with Databricks a big advantage
• Experience not only with NLP tasks a big advantage
• Knowledge of Docker, Kubernetes an advantage
• Knowledge of MLOps principles an advantage
• Active knowledge of the Czech or Slovak language is essential

• A team of professionals who have a similar setup to you. They want to work independently while having the backing of a larger team. They can support each other
• Ability to work from a home, corporate or client office
• Professional trainings and conferences, e-learning within Udemy and Pluralsight, online language courses
• We have more than 280 professional publications available for loan in our tracking library and will be happy to expand it at your request
• Refreshments at the workplace, we have not only coffee but also sweetened and unsweetened drinks and an unlimited drawer of biscuits available
• Interested in organising an educational, sporting or cultural event? Take advantage of our Trail Grant and we'll be happy to support you
• We have our own gym, foosball table (not one, but two tables) and darts in our Prague office
• Benefits of your choice: multisport, pension, pharmacy purchases, tickets, experiences
• 5 weeks of vacation and 3 sick days