Python Machine Learning Engineer

Data Revenue - permanent


11 Apr

Open to all applicants globally!

Build complete machine learning solutions: From researching the right approach to preparing the data, training the model and scaling your solution on AWS.

Work on hard challenges in many different industries: Build models for car manufacturing, disease analysis, energy grid optimization, clinical trial design and ad-exchange optimization problems.

You will join a team of experienced Python Machine Learning developers.

We are looking for experienced Python developers who know their way around Linux, AWS and data engineering. Machine Learning experience is a bonus, but not necessary.


Skills you need:

  • Solid Engineering Background (5+ years development experience)
  • Familiar with AWS and / or Google Cloud, Docker and Python
  • Ability to travel to clients for 1-2 day workshops
  • Very good communicator

Skills you will learn:

  • How to manage machine learning projects.
  • The inner workings of many different industries.

Salary and Perks

  • 100% of our projects are machine learning projects – we pass on things like data lake design to our partners.
  • Work on current state of the art research problems (e.g. in biotech) – we promise, boredom will be the least of your worries.
  • Work remotely from anywhere in the world – we're remote first, even the team in Berlin rarely see each other face to face.
  • Easy going: Be pragmatic. Get stuff done and keep the overhead minimal (we skip superfluous SCRUM processes)
  • Team Trips: We go skiing in the winter and sailing in the summer.

About Data Revenue

We build end-to-end machine learning solutions for our clients in pharma, biotech, car manufacturing (VW, Mercedes, ...), energy and web.


To apply please email

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