Your mission

• Lead our Machine Learning team and contribute to the development of sovereign AI in Europe
• Architect the training and fine-tuning of AI models using sovereign dataspace technology
• Set the technical direction for our ML roadmap, integrating cutting-edge AI innovation into our sovereign dataspace technology
• Support Product Management in evaluating and defining AI/ML architectures for target products and solutions, balancing customer requirements and technical constraints
• Recruit, lead, mentor, and inspire your own team of highly skilled ML engineers
• Partner with our HR team to scale the team through active sourcing, interviewing, and onboarding
• Coach and develop team members while fostering an inclusive, collaborative, and intellectually rigorous culture
• Work together with dataspace technology experts and product teams
• Contribute heavily to open-source projects
• 
  

Your profile

• Master’s degree in Machine Learning, Computer Science, or a related discipline (PhD is a plus)
• 7+ years of experience in Machine Learning, ideally with experience in federated learning
• 3+ years of experience leading technical projects and people
• Proven experience working with product teams to bring ML products to market
• Deep understanding of modern ML infrastructure, LLMs, and AI tooling
• Outstanding stakeholder management skills and comfort working with senior leader
• Strong interest in sovereign AI and dataspace technology (Catena-X, Gaia-X, IDSA)
• Track record of open-source contributions and a strong understanding of how open-source projects work

Your mission

• Lead our Machine Learning team and contribute to the development of sovereign AI in Europe
• Architect the training and fine-tuning of AI models using sovereign dataspace technology
• Set the technical direction for our ML roadmap, integrating cutting-edge AI innovation into our sovereign dataspace technology
• Support Product Management in evaluating and defining AI/ML architectures for target products and solutions, balancing customer requirements and technical constraints
• Recruit, lead, mentor, and inspire your own team of highly skilled ML engineers
• Partner with our HR team to scale the team through active sourcing, interviewing, and onboarding
• Coach and develop team members while fostering an inclusive, collaborative, and intellectually rigorous culture
• Work together with dataspace technology experts and product teams
• Contribute heavily to open-source projects
• 
  

Your profile

• Master’s degree in Machine Learning, Computer Science, or a related discipline (PhD is a plus)
• 7+ years of experience in Machine Learning, ideally with experience in federated learning
• 3+ years of experience leading technical projects and people
• Proven experience working with product teams to bring ML products to market
• Deep understanding of modern ML infrastructure, LLMs, and AI tooling
• Outstanding stakeholder management skills and comfort working with senior leader
• Strong interest in sovereign AI and dataspace technology (Catena-X, Gaia-X, IDSA)
• Track record of open-source contributions and a strong understanding of how open-source projects work