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Machine Learning Engineer (m/f)

We are enfore AG

Founded in 2009 as NumberFour AG by Marco Boerries to re-imagine how small businesses utilize technology. enfore has built an open business platform to develop solutions that help 200+ million small businesses around the world to run their business. enfore's vision is simple: every small business should enjoy similar efficiencies and scale-effects that historically were only available to large enterprises.

Our headquarters are located in Berlin, Germany, with additional offices in Hamburg, Germany.

About the Job

We are looking for a Machine Learning Engineer with a quick mind and strong passion for solving complex data science problems. You will join an experienced and international engineering team, who values and practices transparency and direct communication. You will implement algorithms and methods of machine learning to improve our products, business models and the user experience.

As one of the Machine Learning Engineers, you will help turn our data scientists’ research into production-ready services. You'll work closely with researchers on greenfield projects, designing services from the ground up, gathering the data needed to power them, and working with other engineers to integrate their applications with your creations. You’ll develop a “highly scalable machine learning infrastructure” based on AWS, Mesos, Docker, Spark and TensorFlow.


  • M.Sc  in Computer Science, Machine Learning, Maths or a related technical field
  • Strong understanding of machine learning algorithms
  • Extensive experience with a number of programming languages with a focus on Scala or Java
  • Experience with scripting languages (Bash, Python)
  • High level of conceptual skills and a quick comprehension
  • Solid English communication skills

Extra Qualifiers we’d like to see

  • Ph.D in Computer Science, Machine Learning, Maths or a related technical field
  • Experience with deep learning is a strong plus, including TensorFlow, Theano, etc.
  • Solid German language skills

Questions? We are happy to hear from you!


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