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Working Student for AI Application Engineering (f/m/x)
ZEISS
München
Studentenjobs, Werkstudent TeilzeitStellenbeschreibung
In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Join us today. Inspire people tomorrow.
Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.
Apply now! It takes less than 10 minutes. Your role
Learn and support the application engineering team at ZEISS Meditec along the entire product development process that covers these steps:
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Pre-process and analyze data deliveries used for machine learning AI products
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Support our development team with new ideas and solutions for data processing and ML pipeline creation
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Implement data quality monitoring and profiling solutions
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Further, you will support artificial intelligence product development and research and support SW architects
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Get first-hand experiences in research and development of future innovations and customer products of ZEISS Meditec
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Learn more about data analysis and big data, latest development technics and agile development from experienced team members, in a diverse and international team
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You hold a Bachelors degree in informatics, electrical engineering or a similar professional field and are currently enrolled in a Masters program
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You are interested in application development for medical devices
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You have fun and passion in data analysis and solution-oriented thinking
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You think and work in structured ways, are good at self-organizing, time and task management
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You are open to learn new development tools and system like GitHub and Azure
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You already have at least 1year work experience in developing in Python, Pandas, Numpy, data analysis and visualization
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You already have experience in professional software development using git, working with pull requests and CI/CD pipelines
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You are familiar with software testing best practices and related libraries like pytest"
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Experience in machine learning and docker is a plus
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You are fluent in English and German
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