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• Design and develop custom Salesforce applications (Apex – backend, Lightning Web Components – frontend)
• Implement and automate business processes using Salesforce Flows and Triggers
• Support the full development lifecycle: development, testing, debugging, and optimization

Independent research in accordance with good scientific practice: conception and implementation of scientific methods, experiment design, data collection and processing, and authoring publications in peer-reviewed journals...

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.

Where you belong: Where you belong: ...

• 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

• 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

• Conceptualizing secure workflows for international submission of sensitive medical imaging data
• Defining architectural concepts for the benchmarking and evaluation platform, including controlled and secure execution of externally submitted models

Strategy and Leadership: Define, communicate, and execute the overall Data Science roadmap and vision for the Generative AI function, ensuring alignment with N26's product and business goals....

Lead and manage a global team of data scientists, ML engineers, and AI researchers, setting technical direction, ensuring quality, and fostering a strong culture....

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

• You will take overall technical responsibility for complex, cross-functional AI initiatives – from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

Design and delivery of secure, high-performance microservices on AWS Driving architecture decisions and empowering team members through mentorship Setting technical direction across multiple teams Spotting system pain points and proposing improvements Pioneering AI-driven solutions by advising on...

• Lead the design, development, testing, and maintenance of the flaQship toolkit
• Integrate the flaQship toolkit via standardized APIs into the national quantum computing full stack and enable workflow-integration with established toolkits and framework (e.g. MQT or Eclipse Qrisp)

Staff Frontend Engineer (f|m|d) - Zurich - Hybrid Work (80-100%) Company Description Welcome to SMG Swiss Marketplace Group! SMG is a pioneering network of online marketplaces and a leading European digital company that simplifies people’s lives with forward-looking products. We operate leading...

You design and own end-to-end AI and data architectures - from data ingestion and feature pipelines to model deployment and monitoring - with a strong focus on production-grade edge AI inside the vehicle....

End-to-End Data Lifecycle Ownership: Lead the design and implementation of tracking strategies that cover the entire lifecycle: from initial requirements gathering to Generation, and finally to automated Validation....