Data Science Internship with Schwarz IT
Data Science Internship with external pageSchwarz IT
With Lidl and Kaufland the external pageSchwarz Group stands for efficiency and innovative strength in retail and is one of the largest companies in the industry with over 575,000 employees and 13,900 stores in over 30 countries.
external pageSchwarz IT manages the entire digital infrastructure and all software solutions for all users of its retail divisions Lidl and Kaufland, the food producer Schwarz Produktion, the environmental services provider PreZero, and the IT/Digital service provider Schwarz Digits. They have broad expertise in all areas of IT - from traditional software development and IT consulting to AI applications and IT security. This makes them one of the largest German players in the IT sector.
Schwarz IT offers the following challenges/internships to motivated ETH Zurich working students who want to expand their practical knowledge and skills in the field of computer vision, are interested in AI technologies, and already have knowledge in data science and machine learning:
Challenge 1
Fraud Detection at Self Check Out (SCO): This challenge focuses on identifying non-scans at self-checkout points to prevent fraud.
Challenge 2
Quality Control in Baked Goods: This challenge focuses on detecting and classifying non-compliant baked goods such as donuts, Berliners, and croissants.
Challenge 3
Anomaly Detection in Nuts: This challenge focuses on detecting foreign objects in nuts, including cashews and walnuts.
For each challenge, two to four ETH Zurich students are sought.
You will support computer vision and software developers in their daily tasks and independently implement innovative AI products in Python. You will gain insights into modern machine learning methods and support their development from proof of concept to operationalized computer vision products. You emphasize clean code, documentation, reviews, and design and ensure traceability through structured implementation. You use container technology to create your prototypes and test and integrate services within a microservice architecture.
Qualifications required: experienced with an object-oriented programming language such as Java, C++, or Python; willing to acquire or already have knowledge in technologies like Git, Microsoft Azure, ArgoCD, Docker, and Kubernetes; analytical skills and a high degree of self-initiative.
Duration: October 2024 to February 2025 in Heilbronn.
Financials: Travel expenses and accommodation will be covered; a salary of CHF 500 per month is provided.
Eligible to apply are ETH Zurich bachelor, masters, and doctoral students. Please send a letter of motivation stating your preferred challenge and your CV to by Friday, 16 August 2024.