FAQs
What is the role of a Working Student for AI Application Engineering at ZEISS Meditec?
The role involves supporting the application engineering team throughout the product development process, including data pre-processing, ML pipeline creation, data quality monitoring, and assisting in AI product development and research.
What qualifications are required for this position?
Candidates should hold a Bachelor's degree in informatics, electrical engineering, or a related field and be currently enrolled in a Master's program.
What programming languages or tools should I be familiar with for this position?
Candidates should have at least 1 year of experience in Python, as well as familiarity with libraries like Pandas and Numpy for data analysis and visualization.
Is knowledge of machine learning necessary for this role?
While direct experience in machine learning is preferred but not mandatory, having a background in it is considered a plus.
What types of development practices should I be familiar with?
Candidates should have experience in professional software development using Git, working with pull requests, CI/CD pipelines, and be aware of software testing best practices and libraries like pytest.
Are there opportunities for learning and development in this role?
Yes, the position offers opportunities to learn about data analysis, big data, and the latest development techniques from experienced team members in a diverse and international setting.
What languages should I be fluent in for this job?
Fluency in both English and German is required.
Does this position require prior work experience?
Yes, candidates should have at least 1 year of work experience in relevant areas such as Python development and data analysis.
Will I be working individually or as part of a team?
You will be working as part of the application engineering team at ZEISS Meditec, collaborating with other members to support product development.
What is the primary focus of the work for this position?
The primary focus is on application development for medical devices, particularly related to AI products and data processing solutions.