JAVA Software engineer for Computer vision project (m/f/d)

REWE digital: Your Home of IT 

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!

What you will do:  

You will be responsible for 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 local K8s environment within the stores.

What we are looking for:   

• Minimum 6 years of experience with Java, spring boot  Hands on Docker /K8s 
• Minimum 2-3years of epxerience with computer vision technologies libraries and building 
• Experience with Learning Frameworks / Tools - PyTorch, Tensorflow  Proactive person, willing to learn more about Machine leanring and computer vision 
• Candidate who have experience with python will be reviewed with priority    

Any of the following is a plus: 

• Experience with Kafka 
• Experience with Python and machine learning

Benefits: 

• 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) 
• Flexible working time  Hybrid working mode 60/40 office to home 
• Hackathons 

Office space: 

• Recreation area, table tennis, football, PS, billiard, chess 
• Cozy office building next to a park 
• Underground Parking places  Snacks, fruit, and beverages 

Let's create ideas together, develop them further, and perfect them until the finished product. Are you ready?  *Your application data will be treated with strict confidentiality. Only short-listed candidates will be contacted.