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14 часов назад

Middle Data Scientist (Generative AI)

Формат работы
remote (только Poland)/hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Middle Data Scientist (Generative AI): Developing and applying Generative AI and machine learning solutions, including NLP pipelines, RAG applications, and agentic workflows, as part of a large Center of Excellence. Focus on building production-ready ML pipelines, experimenting with deep learning frameworks, and collaborating on multi-agent systems to deliver measurable impact for clients.

Location: Must be based in Poland (Remote/Hybrid)

Company

hirify.global is a global digital solutions company providing software development and consulting services.

What you will do

  • Implement Generative AI and agentic solutions, including RAG pipelines and intelligent assistants.
  • Build and maintain ML pipelines for data analysis, model training, and production deployment.
  • Collaborate with cross-functional teams to contribute to production-ready ML solutions.
  • Develop multi-agent systems using frameworks like LangGraph or CrewAI.
  • Apply deep learning techniques using Python, PyTorch, or TensorFlow.
  • Document and communicate experimental findings to technical and non-technical stakeholders.

Requirements

  • Minimum 3 years of experience in data science or machine learning.
  • Solid proficiency in Python with PyTorch or TensorFlow.
  • Foundational knowledge of Generative AI, NLP, transformer models, and LLMs.
  • Familiarity with agentic AI frameworks like LangGraph or CrewAI.
  • Experience with cloud-based AI/ML services on AWS, Azure, or GCP.
  • English: Upper-intermediate (B2) or higher required.

Culture & Benefits

  • Work within a large, expert-driven AI and Data Science Center of Excellence.
  • Opportunities to work on diverse, high-impact client projects.
  • Flexible work environment with remote and hybrid options.
  • Access to professional development and collaboration with experienced researchers and architects.

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