IT Machine Learning Engineer (m/w/d) Berlin Details →

IT Machine Learning Engineer (m/w/d) Berlin Details →

Berlin Vollzeit 45000 - 65000 € / Jahr (geschätzt) Kein Homeoffice möglich
Doopic

Auf einen Blick

  • Aufgaben: Leite kreative Entwicklungen in KI-gestützten Bildverarbeitungsprozessen.
  • Unternehmen: Innovatives Unternehmen aus Berlin mit Fokus auf AI und Automatisierung.
  • Vorteile: Flexibles Arbeiten, kostenlose Snacks, Team-Events und Weiterbildungsmöglichkeiten.
  • Weitere Informationen: Dynamisches Team mit tollen Karrieremöglichkeiten im Herzen Berlins.
  • Warum dieser Job: Gestalte die Zukunft der Bildbearbeitung und arbeite mit den neuesten Technologien.
  • Qualifikationen: Erfahrung in Machine Learning, insbesondere mit CNNs, und gute Englisch- oder Deutschkenntnisse.

Das prognostizierte Gehalt liegt zwischen 45000 - 65000 € pro Jahr.

Overview

Doopic is an innovative company from Berlin that specialises in product image processing and post-production.

With a strong focus on revolutionary workflows, AI and automation, we take the hard work out of image editing for e Commerce operators, photo studios, etc. and support them with other graphic services.

We are looking forward to welcoming you as AI Specialist (f/m/x) in our office at Kurfürstendamm in Berlin.

Responsibilities

  • You will take the leading role in the creative intensification and further development of our AI-supported sub-processes in the areas of image recognition, image retouching and operations.
  • In the conception and implementation of machine learning, deep learning and convolutional neural networks, your focus will be on stability, performance and customer-oriented innovation.
  • Our almost endless backup of processed images, unprocessed correspondences and supplementary data are your playground and tool

What you bring

  • Machine learning and deep learning, especially Convolutional Neural Networks (CNNs) are exactly your thing and you have already gained some experience in this area.
  • Computer vision and image analysis techniques as well as basics of image processing such as filtering, segmentation and feature extraction are not a must - but would make us very happy.
  • You speak fluent German or English, have experience with frameworks and libraries such as Open CV, Tensor Flow, Py Torch or Keras.
  • What we bring
  • With us, every day brings new, exciting challenges that we tackle together.

Here, no one is looking over your shoulder to scrutinise your work.

What counts are the results and they are (almost) always great - if only because we have so much fun doing it.

  • Team events, free snacks, fruit, coffee etc. are of course standard.
  • We work with the best tools, materials and colleagues at an attractive location in the heart of Berlin with excellent transport connections - the job ticket is subsidised, we offer flexible working hours, the option of working from home and, of course, a competitive salary.
  • Last but not least, we want to make you a little better every day, which is why we are happy to sponsor seminars and training courses.

How to apply

Would you like to join us? Then send us your application documents (German or English) by e-mail to careers@doopic. com. We are already looking forward to getting to know you.

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IT Machine Learning Engineer (m/w/d) Berlin Details → Arbeitgeber: Doopic

Die Doopic GmbH ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern die Möglichkeit bietet, in einem dynamischen und innovativen Umfeld zu arbeiten. Mit einem modernen Arbeitsplatz am Kudamm in Berlin, flachen Hierarchien und flexiblen Arbeitsmodellen fördert das Unternehmen eine offene Kultur, in der Ideen geschätzt werden und Mitarbeiter aktiv an der Weiterentwicklung des Unternehmens mitwirken können. Zudem profitieren die Mitarbeiter von umfangreichen Entwicklungsmöglichkeiten und der Zusammenarbeit mit internationalen Kunden und Partnern.

Doopic

Kontaktdaten:

Doopic Recruiting-Team

Wir glauben, dass du diese Fähigkeiten brauchst, um IT Machine Learning Engineer (m/w/d) Berlin Details → mit Bravour zu bestehen

Machine Learning
Deep Learning
Convolutional Neural Networks (CNNs)
Computer Vision
Image Analysis Techniques
Image Processing
Filtering