Jobbeschreibung
Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.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.
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Preparing data for machine learning tasks
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Designing and developing the quality criteria for high quality data generation
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Understanding the variety of data and extracting valuable information out of it
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Generating the knowledge graph and queries to make data products for AI development
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Student in master's degree in machine learning, computer science, informatics, or a related engineering field
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Theoretical knowledge of statistical analysis, machine learning, data mining and data engineering
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Proficiency at Python and C++ programming
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Experience with database management systems and similar data management tools
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Having experience or knowledge developing SPARQL queries is plus
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Fluency in English
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Ability to collaborate productively with the team
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Nice to have basic knowledge of cloud infrastructure
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Nice to have basic knowledge of Kubernetes and docker-based environments