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Define and drive the next stage of our enterprise-wide Business Process Management and Data Governance journey, building on an already established and mature foundation...

• Development and application of advanced data science methods, including transformer-based models, to marine and Arctic biodiversity data
• Work with large-scale biological and environmental datasets (sequencing data, eDNA)

• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

AI for Science Engineer AI for Science Engineer The ETH AI Center is one of the largest AI centers in Europe with over 130 Professors from all 16 departments of ETH Zurich and over 1500 associated PhD students & post-docs. Our mission is to foster interdisciplinary AI research and pave the way from...

Perform research in the field of closed-loop medication systems, aiming at point-of-care antibiotics level measurement from whole blood and utilizing this data for automated dose control...

YOUR RESPONSIBILITIES: ● Own and drive product strategy and roadmap for your area, making clear prioritisation calls, including what not to build ● Run continuous discovery of internal processes, tools, and users to map workflows, connections, and bottlenecks, and turn findings into a prioritised...

• Plan, design, execute, and maintain manual and automated tests for application software
• Act as the dedicated tester within the Scrum Team and actively participate in agile ceremonies
• Collaborate closely with developers and product owners to clarify requirements and ensure testability

• Single point of contact for the research faculty and group leaders on specialist IT, data and computing needs
• Assessment of research IT needs and their translation into actionable demands
• Onboarding and key user management: making sure that our researchers can work productively from day one

• Design and implement advanced algorithms across AI, Data, Simulation, Processes, and Quantum Computing
• Lead the technical vision of interdisciplinary R&D projects
• Integrate emerging technologies and mentor young researchers
• Represent TWT at international conferences and forums

• Lead and coordinate international innovation projects across AI & Engineering
• Build trust-based partnerships with clients and researchers
• Translate complexity into clarity – and ideas into business value
• Mentor teams and foster a culture of excellence

You will be accountable for architecting, delivering, and continuously evolving ZEISS's enterprise AI platform, a secure, scalable, and compliant foundation that enables multimillion efficiencies and revenue uplift in AI-driven business value across the organization...

Programming & data analysis in Python: Contribute to the development and optimization of software solutions for automation and data processing. Support the analysis and interpretation of datasets to enable data-driven decision-making...

Overview: You are an experienced team lead in software development who develops innovative technical concepts and supports a dynamic team in an agile environment. If you have a proven track record in software architecture and development, along with strong leadership skills, we look forward to...

You own line management for a distributed team of Machine Learning Engineers and Data Scientists - running regular 1:1s, setting development goals, and driving performance reviews and career growth....

• Commissioning and configuring software systems during equipment installation to ensure seamless operation.
• Diagnosing and troubleshooting software and system issues to minimize downtime and improve efficiency.

• Manage the IT Product Lifecycle for new and existing custom applications
• Take ownership of all activities related to the upcoming Mauser Customer B2B Portal
• Define and standardize the technology stack for custom application development

• Build and develop long-term strategic relationships with leading industrial customers
• Identify innovation opportunities and translate emerging technologies into customer value
• Shape collaborations between industry partners, universities, and research institutions

• Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Gain new insights by bringing together rich semantic context with large scale business data.

• Engage closely with customers and SAP stakeholders to understand goals, challenges, and opportunities, translating them into a clear SAP AI architecture vision
• Design and deliver scalable, reliable end-to-end SAP AI solutions based on SAP AI Foundation and SAP Build Suite

• Lead enterprise-wide transformation programs and strategic initiatives that enable customers on their journey toward the Autonomous Enterprise
• Implement AI solutions within SAP systems to enhance business processes and decision-making