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Machine Learning Engineer (m/f/d) – Berlin

Referenz: 331111001900

on 22 May 2019
Freie Mitarbeit / Dienstvertrag / Projekt

The future belongs to those who drive innovation, inspire transformation and fuel collaboration. Our commitment is achieved by working together with our clients in combining the key technologies IT, Engineering and Life Sciences in order to develop innovative solutions for the future. We connect top companies with the sharpest minds in IT. All of them united by their burning passion to make use of their talents in order to master the challenges ahead. Are you one of them?

For a contracting project in Berlin, our client is looking for support!

Start asap

Duration 4 months

Location Berlin-Mitte

Remote No

Your tasks:

  • Building data pipelines for a fraud prevention/detection system (self-learning)
  • Develop existing automated retraining system
  • Making tools to review frauds manually/ul>
  • Your experience and skills:

    • JAVA
    • API-development
    • Building data applications
    • Postgres, Kafka
    • Eventually Python /ul>
    • If you have free resources and interest, we look forward to your current profile. We connect the right professionals with the right project, as we do by connecting you with our recruiting projects! Our path together begins with trying to comprehend your ambitions. We shall work together to help you achieve your career objective, by investing in your professional development and mentoring, and by coaching you throughout your career. Modis is a global leader in professional solutions and a dynamic brand with a global focus. We are pursuing ambitious goals in a key market. Our affiliation with Adecco Group opens up a wide array of career choices for you.

      You can hardly wait to get to know us? Then a simple click will quickly connect you with us. Just click on "APPLY NOW“ to send us your application.

      Your Contact

      Frau Lilla Mikola


      Modis Contracting Solutions GmbH

      Modis Contracting Solutions GmbH

      Markgrafenstraße 33

      10117 Berlin

      Phone +49 30/203984-16


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