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- Location
- Bern
- Employment type
- Full-time
- Date posted
- Oct 4, 2026
- Last checked at the source
- Oct 7, 2026
- Job source
- via Arbeitnow
Responsibilities
• Harmonize the different AI tools and initiatives already taking shape across teams into one coherent, company-wide approach
• Design and roll out new AI-driven workflows - using agents, skills, and similar methods - that put our AI strategy into practice
• Own the AI infrastructure - cloud and on-premises - that powers these workflows, from architecture through deployment
• Serve as the internal reference point for AI, advising projects on regulatory, compliance, and risk questions
• Vet and validate externally sourced AI components before they enter our products or processes
• Grow AI literacy across the organization through mentoring, knowledge-sharing, and hands-on enablement
Requirements
• Degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• 5+ years of hands-on experience in AI/ML engineering or AI solution architecture
• A proven track record of taking at least one AI/ML solution from concept to real-world production - not just a proof of concept
• Working knowledge of both cloud-based and on-premises or local AI infrastructure
• Sound understanding of AI governance and regulatory considerations, ideally within a regulated industry
• Excellent communication skills, able to translate technical depth into terms non-technical stakeholders act on
Skills
- Machine Learning
- Data Science
- Communication
Visa and relocation
?The posting doesn't mention visa sponsorship. Check the original posting or ask the company.
?The posting doesn't mention relocation.
Job description
Your mission
• Harmonize the different AI tools and initiatives already taking shape across teams into one coherent, company-wide approach
• Design and roll out new AI-driven workflows - using agents, skills, and similar methods - that put our AI strategy into practice
• Own the AI infrastructure - cloud and on-premises - that powers these workflows, from architecture through deployment
• Serve as the internal reference point for AI, advising projects on regulatory, compliance, and risk questions
• Vet and validate externally sourced AI components before they enter our products or processes
• Grow AI literacy across the organization through mentoring, knowledge-sharing, and hands-on enablement
Your profile
• Degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• 5+ years of hands-on experience in AI/ML engineering or AI solution architecture
• A proven track record of taking at least one AI/ML solution from concept to real-world production - not just a proof of concept
• Working knowledge of both cloud-based and on-premises or local AI infrastructure
• Sound understanding of AI governance and regulatory considerations, ideally within a regulated industry
• Excellent communication skills, able to translate technical depth into terms non-technical stakeholders act on
You are
• Independent and resourceful in execution, turning direction into concrete, working solutions
• Analytical, hands-on, and pragmatic - equally comfortable in the details and the big picture
• A confident communicator who can align stakeholders and earn trust without relying on formal authority
• Motivated by the opportunity to leave a visible mark on how a fast-growing medtech company puts AI to work
Why us?
We offer an exciting role in a multinational, innovative, fast growing and dynamic environment. In our company you can create, shape, and take ownership. Our unique company culture is shaped by our passion and values.
Administrative
We look forward to receiving your application with CV, letter of motivation, diploma and references - (optional). (Applications from recruiters will not be considered). For questions please contact Mr. Augustin Blazevic (+4131 306 26 05).
Place of work: Bern
Preferred start date: by agreement
Workload: 100%
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