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9 дней назад

Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Serbia
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): Designing and deploying advanced machine learning solutions for an open-access science publisher with an accent on NLP, recommender systems, and agentic LLM workflows. Focus on building RAG systems, optimizing model performance, and integrating intelligent analytical solutions into production.

Location: Onsite in Novi Beograd, Serbia

Company

hirify.global is a global Open Access publisher specializing in scientific journals across all disciplines.

What you will do

  • Design, develop, and evaluate ML and statistical models focusing on NLP and recommender systems.
  • Build and experiment with LLM-powered systems, including agentic workflows and RAG.
  • Perform data exploration, preprocessing, and feature engineering to ensure high-quality modeling inputs.
  • Collaborate with engineering teams to integrate models into production environments.
  • Monitor model performance and iterate to improve accuracy and robustness.
  • Supervise Master's and Ph.D. students and represent the company at scientific conferences.

Requirements

  • Bachelor’s or Master's degree in Computer Science or a related field.
  • 2-5 years of professional experience as a Data Scientist.
  • Proficiency in Python, Machine Learning, and LLMs.
  • Experience with PyTorch, TensorFlow, Scikit-learn, and Hugging Face.
  • Intermediate proficiency in FastAPI, Celery, and Keycloak.
  • Excellent written and spoken English proficiency.

Nice to have

  • PhD in Computer Science or a related field.
  • Leadership skills and experience mentoring junior engineers or interns.

Culture & Benefits

  • Work at the forefront of digital transformation in scientific publishing.
  • Environment that values creativity and complex problem-solving.
  • Opportunity to contribute to open-source stacks and modern community-driven tools.
  • Focus on in-house software development and on-premises system hosting.

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