80 AI Engineer Jobs in der Schweiz

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Giotto.ai·Lausanne, VD·13.05.2026·Save·Apply

As an LLM Architect at Giotto.ai, you'll design AI systems. Daily tasks involve architecting sovereign AI. Must-haves include relevant experience. Nice-to-haves are additional AI skills. This role is unique due to its focus on European sovereignty. It offers opportunities for growth and cultural preservation.

This AI strategy manager role involves aligning AI innovation with business goals. Daily tasks include developing AI strategies and advising clients. Must-haves include 6+ years of AI experience and strong understanding of AI technologies. Nice-to-haves are leadership and communication skills. The role is unique in driving AI adoption and growth. Notable perks include contributing to thought leadership and business development.

This role is a Lecturer/Senior Lecturer in Neurosymbolic AI at UNSW. Daily tasks include research and teaching. Must-haves include a strong AI background. Nice-to-haves are industry partnerships and leadership skills. This role is unique due to its focus on neurosymbolic AI. It offers career growth and cutting-edge facilities.

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ARTIDIS·Basel, BS·24.04.2026·Save·Apply

This AI Engineer NLP role at ARTIDIS involves designing and deploying NLP systems. Daily tasks include developing and integrating Python and Go codebases. Required skills include strong Python and Go engineering capabilities. Nice to have is experience in full-stack development. The role is unique due to its intersection of ML and platform teams. The company offers a startup environment with an international team.

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kaiko.ai·Zürich, ZH·11.05.2026·Save·Apply

Kaiko.ai develops AI for clinicians. As Senior ML Engineer, you'll lead evaluation engineering. Must-haves include ML experience. Nice-to-haves are Dagster and orchestration skills. This role is unique due to its clinical focus. The company offers a growing international team and collaboration with hospitals.

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Techyon·Ticino, TI·02.06.2026·Save·Apply

La società cerca un Senior AI Delivery Lead. Il ruolo include implementazione di soluzioni AI e progettazione di architetture. Requisiti fondamentali sono AI Engineering e Azure AI Studio. Competenze aggiuntive come Python o C# sono gradite. Il lavoro è a Chiasso, in Svizzera.

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bjakcareer·Zurich, ZH·27.05.2026·Save·Apply

This role involves machine learning model development. Daily tasks include collaboration and model integration. A strong machine learning foundation and programming skills are required. Additional experience with deep learning frameworks is beneficial. The role offers complex projects and AI innovation. It provides a dynamic work environment.

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IOM - UN Migration·Genève, GE·21.05.2026·Save·Apply

This role involves AI program management at IOM in Geneva. Daily tasks include senior advisory and support. Requirements include AI expertise. Nice-to-haves are strategic analysis skills. The role is unique due to its focus on organizational intelligence. It offers a chance to work with the UN Migration Agency.

This role involves aligning business goals with AI innovation. Daily tasks include collaborating with clients and developing AI strategies. Must-haves include business acumen and AI understanding. Nice-to-haves are language skills and consulting experience. The role offers impactful work and growth opportunities. Notable perks include thought leadership and cross-functional collaboration.

This Physics Informed Machine Learning Intern role at Nestlé's Deep Tech Center involves developing hybrid models. Daily tasks include designing PINN architectures and integrating physical constraints. A master's in Applied Mathematics, Physics, or Computer Science is required. Nice-to-have skills include experience with scientific ML approaches. This role is unique due to its focus on physics-informed neural networks. The company offers a diverse work environment and growth opportunities.

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Deloitte·Zürich, ZH·12.04.2026·Save·Apply

This role is a Senior Consultant in AI and Data at Deloitte. Daily tasks include designing data solutions and strategies. Must-haves include drive, consulting skills, and technical expertise in data management. Nice-to-haves are experience in nearshore/offshore teams and vendor selection. The role offers growth opportunities and a dynamic environment. Notable perks include business development support.