SW architect AI Infrasturture

vor 4 Wochen

München, Deutschland ZEISS Gruppe Vollzeit

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 enablementDrive 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 architecturesAnalyze technology industry trends to identify impact on system architecture and identify relevant / emerging technologies and recommend path forwardApprove high risk designs in close alignment with management executives and service functions. Owning implementation of non-functional requirements in area of responsibilityMaintain system quality through appropriate measures such as code reviews and process definitionsInfluence and drive an accepted implementation of architecture in alignment with SW architecture groups from businesses and health data platformYour ProfileMaster’s or PhD degree in computer science, informatics, biomedical engineering, or a related engineering field Berufserfahrung2 years of working experience as cloud software architectExtensive knowledge of SW design principlesExperience in AI/ML frameworks (e.g. TensorFlow, PyTorch), AI lifecycle (training, deployment, production, monitoring) and MLOpsExperience in design and implementation of large SW projectsKnowledge of UML and design patternExtensive knowledge of Microsoft Azure platform and its workspaces is a plusExperience in designing SW solutions for a regulated environment is a plusFluency in EnglishSimilar Jobs (5)

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