Darum lohnt es sich
Responsibilities In cross-functional teams, you will drive and manage projects in the field of Artificial Intelligence, encompassing Machine Learning (ML), Deep Learning, Generative AI and Agentic AI Support the preparation and execution of AI projects: from defining scope and roadmap planning, through agile execution, to conducting lessons learned that can be integrated into new projects As part of a dynamic team, you will engage with users from different ZEISS departments, assess and plan AI-related tasks, and report outcomes and results Enable our experts to focus on technical, high-quality solutions Serve as the interface between our technical experts and various ZEISS departments to create outstanding software products.
Requirements An excellent university degree (Ph.D. is a plus) in Computer Science, Engineering, Mathematics, Natural Sciences, or equivalent The ability to understand the technical architecture of AI solutions and state-of-the-art web applications Experience in feature engineering, unsupervised & supervised learning, prompt engineering, retrieval-augmented generation (RAG), and model deployment and operation in the cloud A good understanding of balancing innovative flexibility at the edge with the benefits of standardization at the core At least 3 years of professional experience in project management of AI solutions Professional experience as a Product Owner Experience managing project budgets Experience in stakeholder management Experience with cloud-deployed AI solutions for clients The ability to understand customer needs and solve real-world problems Strong communication, presentation, and project management skills Basic knowledge of corporate data governance best practices (e.g., working with confidential data) Fluent English and German language skills #J-18808-Ljbffr
