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Regular Data Scientist

InTechHouse (SoftBlue)PolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano16 września 2026
Wykryte przez nas
Wykryte przez nas17 września 2026
Zarobki
Zarobki16 800 - 21 840 PLN

InTechHouse (SoftBlue) is a dynamic organization driven by passion and innovation, operating a modern Research and Development Center focused on advanced programming and IoT solutions. We are currently seeking a talented Data Scientist to join our team and contribute to cutting-edge AI projects that push the boundaries of technology.

Key responsibilities

  • Analyzing, cleaning, and exploring diverse datasets including images, audio, text, and sensor data.
  • Designing, training, and evaluating state-of-the-art machine learning and deep learning models across Computer Vision, NLP, and Time Series domains.
  • Collaborating closely with hardware and software engineers to deploy models to edge devices as well as cloud and on-premise environments.
  • Maintaining high standards of code quality and implementing robust MLOps processes.

Requirements

  • At least 3 years of commercial experience as a Data Scientist, Machine Learning Engineer, or in a related role.
  • Proficiency in Python and essential data analysis libraries such as pandas, NumPy, and scikit-learn.
  • Hands-on experience with Deep Learning frameworks like PyTorch or TensorFlow.
  • Strong expertise in Computer Vision or Time Series Analysis.
  • Solid knowledge of software engineering best practices, including Git, Docker, and CI/CD.
  • Very good command of English at a B2/C1 level.

What we offer

  • A challenging role within a company dedicated to creating innovative technological solutions.
  • Opportunities to work in an international environment on demanding and impactful projects.
  • Flexible cooperation models including B2B or employment contracts.
  • Comprehensive benefits package including private medical care, life insurance, and a multisport card.

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