This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are the home for all techies – or anyone who feels comfortable in the tech world. This is where you belong if you are an IT specialist or future thinker – in any case: just you! As a partner in tech, we develop IT projects for the entire REWE Group. We digitize the daily and future trading business for millions of people. Every job is different. And every human anyway. Below you will find the best possible description of your potential future role. If you basically find yourself here, then you’ve come to the right place!
Job Responsibility:
Developing store hosted software applications which utilise computer vision and machine learning technologies covering several use cases: product recognition on self-checkout
fraud and theft detection
queue management and others
Further develop and support existing applications written in JAVA and Python
Manage Pre-trained ML models which are used to properly categorise the results of the computer vision input
Observe and build features that deliver actional information to employees in the stores or the customers
Maintain and expand the CI / CD pipeline used to deliver the applications, deployed on the local K8s environment within the stores
Requirements:
Minimum 6 years of experience with Java, spring boot
Hands-on Docker /K8s
Minimum 2-3years of experience with computer vision technologies libraries and building
Experience with Learning Frameworks / Tools - PyTorch, Tensorflow
Proactive person, willing to learn more about Machine learning and computer vision
Candidates who have experience with python will be reviewed with priority
Nice to have:
Experience with Kafka
Experience with Python and machine learning
What we offer:
Personal educational budget
Regular technical training
Foreign language classes
International training
Library (physical books and online materials)
25 days paid vacation
Social package (additional health and life insurance, money for transport, sports and other activities)