Senior Product Owner - AI & ML

**Your role** ============= * In cross-functional teams, you will drive & manage projects in the field of Artificial Intelligence, encompassing Machine Learning (ML) Deep Learning and AI, Generative AI and Agentic AI * In this role, you will support the preparation and execution of AI projects: from setting the scope and roadmap-planning, to execution in an agile manner, to lessons learned that can be integrated into new projects * As part of a vivid team, you will be in contact with users from different ZEISS departments, assess and plan AI-related tasks and report outcomes and results * With your organizational and project management skills, you will enable our experts to focus on technical, high-quality solutions * You will be the interface between our technical experts and different ZEISS departments to create great Software products * You will be an advocate of the work of our Digital Technology Accelerator **Your profile** ================ * An excellent University degree (Ph.D. is a plus) in Computer Science, Engineering, Mathematics, Natural Science, or equivalent * The ability to understand the technical architecture of AI solutions and State of the Art Web Apps * Experiences in Feature Engineering, Unsupervised & Supervised Learning, Prompt Engineering, RAG, Model deployment and operation in the cloud * A good understanding of innovative flexibility at the shell and the power of standardization at the core * At least 3 years of professional experience in Product Ownership of AI solutions * Hands on experience in Data Science, Machine Learning or similar role * Professional experience as a Product Owner * Strong experience in handling project budgets and key stakeholders * Extensive experience with cloud-deployed AI solutions for clients * Strong communication, presentation, and Project Management skills * Basic knowledge of best practices in corporate data governance (e.g., working with confidential data) * Business fluent English and German language skills Your ZEISS Recruiting Team: Markus Repp