Data Scientist / Machine Learning Engineer

Your favorite drink? Whatever it is, there's a good chance it was made using our software. That's because our innovative digitization solutions and cloud services are used in the beverage and liquid food industries worldwide. SYSKRON is TypeScript and C#, Scrum and Kanban, devs and ops, team and capable. As a 100% subsidiary of the Krones Group, we offer more than just kicker and free coffee: a CEO you call by his first name. Creative freedom. Exciting projects. An inspiring work environment. And really great people.

This sounds exciting to you? Then become part of our team and support us as a Data Scientist / Machine Learning Engineer!

Your tasks

  • You are responsible for the development and deployment of AI models and data-driven solutions for our portfolio and tools.
  • You will develop machine learning applications and establish new tools with a focus on intelligent control loops, monitoring and diagnostics for machines and plants.
  • You work in the area of developing a Machine Learning Life Cycle and ensure the future operation of AI systems.
  • You work on the deployment of components in the cloud as well as on physical devices and support the implementation of the solution in the Machine Learning pipeline.
  • You work closely together with stakeholders from different business units and support the specification of use cases.
  • You are the first point of contact for data connectivity, data analytics and Machine Learning and thus act as a multiplier in the company.

Your profile

  • You have a technical degree with a focus on computer science, applied mathematics, statistics, physics or a comparable qualification.
  • You have knowledge in statistics, data analytics, data modeling as well as machine learning.
  • You have several years of experience in exploratory data analysis, especially time series analysis, as well as a strong understanding of AI methods.
  • You are able to apply knowledge and best practices in Data Science to concrete applications.
  • You have experience programming with Python, working with Big Data technologies like Hadoop/ Spark and working with container technologies like Docker.
  • Ideally, you have already worked with AWS Analytics, Storage, Container & Machine Learning services such as Amazon Athena, S3, ECR and SageMaker.
  • In addition to your strong team spirit, you are characterized by a motivating and supportive personality.
  • Communication is easy for you in both German and English, as you are fluent in both languages.

Your application

If this sounds interesting to you, we really would like to get to know you!

You can submit your application in German or in English.

Do you have any further questions? For more information please call +49 9431 79857-1111.

To be able to process your application efficiently and promptly, we would kindly ask you to use our online form.

Our Benefits:

  • Fairness: We meet each other at eye level in the company.
  • Agility: Modern project methods like Scrum are part of our daily routines.
  • Precaution: Not only are we thinking about tomorrow with our technologies – We are also thinking about tomorrow in terms of precaution. As part of the Krones Group, we benefit from attractive retirement and health-care concepts as well as from lots of other advantages.
  • Bonus: Our compensation model includes not only a bonus on top of your fixed salary, but also the possibility to take advantage of this in the form of additional days off.
  • Flexibility: In addition to flexible working hours, we attach great importance to local flexibility. This way you can balance your work with your private life in an uncomplicated and family-friendly manner. That is why mobile working is a great part in our philosophy.
  • Individual growth & Feedback: To keep our employees fit for the challenges of tomorrow, we offer numerous training opportunities – besides on-site trainings our employees can also take advantage of a Udemy-Flatrate. In addition we live an open feedback culture and foster the internal transfer of knowledge.

Locations

Regensburg (Maximilianstraße)

Maximilianstraße 29
93047 Regensburg

With possibility of mobile working

Your contact

Julia Spielbauer

Julia Spielbauer

E-mail : career@syskron.com
Phone : +49 9431 79857-1216