Computer Vision Engineer

2 miesięcy temu


Wrocław, Polska RITS Pełny etat

Poszukujemy doświadczonego Inżyniera Wizji Komputerowej (Data Scientist) do pracy z klientem z branży biotechnologicznej.

 

Osoba na tym stanowisku będzie odpowiedzialna za:

Analizę danych: zbieranie, czyszczenie i przetwarzanie dużych zbiorów danych obrazów.

Modelowanie: rozwijanie klasycznych oraz głęboko uczących się modeli wizji komputerowej w celu rozwiązywania rzeczywistych problemów.

Współpracę i komunikację: współpraca z wielofunkcyjnymi zespołami i interesariuszami, definiowanie wymagań projektowych oraz przekazywanie technicznych spostrzeżeń wpływających na decyzje biznesowe.

Odpowiedzialność za projekt: kompleksowa odpowiedzialność za projekt data science w ramach globalnej organizacji, zapewnienie terminowej realizacji zadań i osiągnięcie celów projektu.

 

Praca zdalna (biuro we Wrocławiu)

Umowa B2B 140-170 zł/h + VAT

 

Wymagania:

  • 3+ lat doświadczenia w nauce o danych, wizji komputerowej, przetwarzaniu obrazu lub pokrewnych.
  • Tytuł magistra informatyki, elektrotechniki lub dziedziny ilościowej (np. fizyka, matematyka) z naciskiem na uczenie maszynowe lub sztuczną inteligencję.
  • Bardzo dobra znajomość klasycznych technik wizji komputerowej (np. rejestracja obrazu, przetwarzanie sygnału, przetwarzanie obrazu, operacje morfologiczne).
  • Bardzo dobra znajomość klasycznych technik uczenia maszynowego (np. klastrowanie, wykrywanie anomalii, modele statystyczne).
  • Bardzo dobra znajomość technik głębokiego uczenia (np. CNN, Transformers, Data Augmentation) i ich zastosowania do danych obrazowych.
  • Biegłość w programowaniu w języku Python i doświadczenie w korzystaniu z bibliotek uczenia maszynowego i przetwarzania obrazu, takich jak PyTorch, Jax, TensorFlow, Keras, OpenCV, scikit-image itp.
  • Doświadczenie w przetwarzaniu danych na dużą skalę, pipelinach adnotacji i przepływach pracy ETL dla danych obrazu.
  • Znajomość narzędzi programistycznych i infrastruktury opartej na chmurze (np. Azure lub AWS) oraz doświadczenie z narzędziami do kontroli wersji i zarządzania projektami, takimi jak Git i Azure DevOps.
  • Dobra znajomość języka angielskiego (min. B2)

 

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