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1 день назад

Data Scientist

Формат работы
remote (только Sweden)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Sweden
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/ML): Designing and deploying predictive models, classical ML, and deep learning solutions with an accent on MLOps and scalable architecture. Focus on building reliable training and inference pipelines for high-impact client projects using advanced technical tools like LLMs and Neural Networks.

Location: Must be based in Sweden with valid work authorization (citizenship, visa, or residency). Hybrid work available in Stockholm.

Company

hirify.global is a fast-growing Swedish tech consultancy platform that provides the flexibility of freelancing combined with the security of traditional full-time employment.

What you will do

  • Design and deploy predictive models, classical ML, and deep learning architectures.
  • Work across time series, NLP, clustering, and computer vision domains.
  • Build and maintain reliable training and inference pipelines.
  • Ship solutions to major cloud providers including Azure, GCP, or AWS.
  • Implement solid MLOps practices for continuous model improvement.
  • Deliver value rapidly across 6-24 month client engagements.

Requirements

  • Must be based in Sweden: citizenship, valid work visa, or residency required.
  • 4+ years of professional experience as a Data Scientist.
  • Hands-on experience in production-level projects from prototyping to deployment.
  • Deep understanding of LLMs and Neural Networks.
  • Proficiency in Python, SQL, Numpy, Pandas, R, and TensorFlow.
  • Fluent in English (spoken and written).

Culture & Benefits

  • High salary package including pension, insurance, and paid vacation.
  • Full remote flexibility for those who prefer it.
  • Large educational fund for continuous professional development.
  • Exposure to diverse and innovative projects at companies like Spotify, Visa, and Mojang.
  • Lean, efficient organization with no unnecessary management layers.

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