Working Student Medical ML Data Management (f/m/x)
München, Germany
ZEISS Group
ZEISS is an international leading technology enterprise operating in the optics and optoelectronics industries.Seeing beyond - future of medical technology
For more than 100 years, ZEISS medical technology has been driving progress in ophthalmology and microsurgery. In ophthalmology, our solutions help to maintain and improve people's vision at every stage of their lives. In microsurgery, our solutions enable targeted interventions on diseased tissue so that small and sensitive organs continue to function optimally.
Medical technology from ZEISS supports medical professionals in improving the lives of patients worldwide. The fact that our actions have a direct impact on people's well-being is what drives us every day.
Your rolePreparing data for machine learning tasks
Designing and developing the quality criteria for high quality data generation
Understanding the variety of data and extracting valuable information out of it
Generating the knowledge graph and queries to make data products for AI development
Student in master’s degree in machine learning, computer science, informatics, or a related engineering field
Theoretical knowledge of statistical analysis, machine learning, data mining and data engineering
Proficiency at Python and C++ programming
Experience with database management systems and similar data management tools
Having experience or knowledge developing SPARQL queries is plus
Fluency in English
Ability to collaborate productively with the team
Nice to have basic knowledge of cloud infrastructure
Nice to have basic knowledge of Kubernetes and docker-based environments
Your ZEISS Recruiting Team:
Laura Steininger* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data management Data Mining Docker Engineering Kubernetes Machine Learning Python Statistics
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