SW architect AI Infrasturture

vor 3 Wochen


Munich, Bayern, Deutschland ZEISS Gruppe Vollzeit

Your Role

We are looking for motivated and result-oriented "SW architect AI Infrasturture " to join ZEISS-Meditec team of AI / Machine Learning R&D in Munich, Germany. In this position you have a key role in establishing the infrastrucure for the run-time of different medical applications from ophthalmology and neurosurgery, in production. You will design and help implementing the computing engine and workspaces for machine learning-based medical software applications on MS-Azure. This role involves close interaction with different teams and functions across different locations and you provide inputs and guidance to the architects from other departments how to design their software to be deployed to our cloud platform. Your primary tasks are:

  • Design architecture according to strategy and roadmap with special focus on AI infrasturture and applications enablement
  • Drive architecture vision, design and documentation, balancing long- and short-term views and balancing conflicting requirements (e.g. security vs. performance)
  • Monitor and review the implementation of designed architectures
  • Analyze technology industry trends to identify impact on system architecture and identify relevant / emerging technologies and recommend path forward
  • Approve high risk designs in close alignment with management executives and service functions. Owning implementation of non-functional requirements in area of responsibility
  • Maintain system quality through appropriate measures such as code reviews and process definitions
  • Influence and drive an accepted implementation of architecture in alignment with SW architecture groups from businesses and health data platform

Your Profile

  • Master's or PhD degree in computer science, informatics, biomedical engineering, or a related engineering field Berufserfahrung
  • 2 years of working experience as cloud software architect
  • Extensive knowledge of SW design principles
  • Experience in AI/ML frameworks (e.g. TensorFlow, PyTorch), AI lifecycle (training, deployment, production, monitoring) and MLOps
  • Experience in design and implementation of large SW projects
  • Knowledge of UML and design pattern
  • Extensive knowledge of Microsoft Azure platform and its workspaces is a plus
  • Experience in designing SW solutions for a regulated environment is a plus
  • Fluency in English

Your ZEISS Recruiting Team:

Sabrina Rieker



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