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2 дня назад

Data Scientist (AI/NLP)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (AI/NLP): Designing, developing, and deploying advanced machine learning solutions for open-access science products with an accent on NLP, recommender systems, and agentic LLM workflows. Focus on building scalable analytical solutions, implementing RAG systems, and integrating research prototypes into production environments.

Location: 100% on-site in Kraków, Poland

Company

hirify.global is a global open-access publisher with a portfolio of more than 500 journals across all scientific disciplines.

What you will do

  • Design and evaluate ML and statistical models focusing on NLP, recommender systems, and LLM-based solutions.
  • Build and experiment with LLM-powered systems, including agentic workflows and RAG.
  • Perform data exploration, preprocessing, and feature engineering to ensure high-quality model inputs.
  • Collaborate with engineering teams to integrate models into production and monitor their performance.
  • Investigate and reproduce state-of-the-art research prototypes.
  • Supervise Master/Ph.D. students and represent the company at scientific conferences.

Requirements

  • Degree in Computer Science or a related field.
  • 2-5 years of experience as a Data Scientist, with proficiency in Python and Machine Learning.
  • Experience with PyTorch, TensorFlow, Scikit-learn, and Hugging Face.
  • Intermediate proficiency in FastAPI, Celery, and Keycloak.
  • Strong knowledge of NLP, including tokenization and named entity recognition (NER).
  • Excellent written and spoken English.

Nice to have

  • PhD in Computer Science or a related field.
  • Leadership skills with the ability to mentor junior engineers and interns.

Culture & Benefits

  • Private medical care (fully covered).
  • MultiSport card (partially covered).
  • Team building activities.
  • Collaborative environment that values creativity and diversity.

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