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• Build and operate deployment pipelines for AI services
• Deploy and operate model serving, batch scoring, and orchestration pipelines
• Partner with data scientists and applied AI engineers for system design and production deployment

Review business requirements and ensure alignment with end-to-end customer journeys, translating needs into user stories, technical specifications and architecture designs....

• Lead the design and development of Power BI reporting and analytics solutions for enterprise clients,
• Facilitate workshops and meetings with business stakeholders to understand reporting and analytical requirements,
• Translate business needs into functional and technical specifications,

• Development and elaboration of functional concepts including creation of functional architectures
• Creation of user stories and use cases to support development processes
• Visualization of functional concepts such as sequence diagrams and activity diagrams

• Design and implementation of complex enterprise-grade software solutions
• Definition and evolution of application, data, and integration architectures
• Design and architecture of service-oriented and event-driven systems
• Development of distributed, resilient, and highly available platforms

Translate business needs into technology solutions – Work with clients and Deloitte teams to understand business challenges and help turn them into practical, well-structured technology solutions....

• Support the definition and implementation of security architecture principles and standards
• Contribute to designing secure solutions across cloud and on-premise environments
• Translate business and technical needs into practical and scalable security solutions (with guidance)

• Surgical microscopes creating surgical augmented reality
• Ultrasound devices creating 3D ultrasound imaging
• Brainlab's own Robotic Arm (Cirq)

You design and deploy enterprise-level cloud and on-premise architectures on Microsoft Azure and our virtualized data center (VMware/vSphere, Proxmox) to support us in our digital transformation by advancing the implementation of our WEPA.cloud...

You have a solid understanding of core retail processes and you act as a bridge between Business and IT...

Act as a key architectural driver for evolving legacy systems into next-generation platforms, working closely with cross-functional engineering teams and peer architects located in Zurich and Bioggio TI to ensure deep technical readiness....

You architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, while optimizing storage and networking for throughput, resilience, and cost efficiency....

• Lead business and technical discovery sessions to understand customer objectives, requirements, constraints, risks and success measures
• Capture and translate customer needs into clear solution strategies, recommendations, scoped proposals, and phased roadmaps

• Create and implement test strategies and concepts for all test levels in embedded, cloud, mobile and web applications
• Improve our development and testing processes, methods and tools, and support the development teams
• Plan, set up and maintain test environments and automation frameworks

• Design, implementation & maintenance of applications and services for our billing tracking products
• Collaboration with requirements engineers and business analysts to detail and clarify understanding and requirements

You understand our platform architecture, existing systems and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features....

You will take a key role in shaping and designing our edge platform for developing, testing, deploying, and operating real-time applications....

• Design, develop, and maintain robust and scalable software solutions
• Apply object-oriented design principles and established design patterns
• Contribute to system architecture, improvement of our existing software design and technical decision-making

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• An opportunity to build the foundation for next-generation products
• The option to write a master thesis following an internship or working student position
• Hands-on work on intrinsic, extrinsic, and multi-camera calibration for ZEISS use cases