Primary responsibilities include advising clients on developing and implementing enterprise architectures for AI operationalization and MLOps, building MLOps platforms to support data scientists, communicating project progress with stakeholders, participating in internal initiatives, and for experienced professionals, leading teams of data scientists, ML engineers, and DevOps engineers.
Required experience includes a completed degree in Computer Science, Business Informatics, or related field, familiarity with machine learning model lifecycle architectures, strong analytical and conceptual skills, pragmatic approach, creativity, teamwork abilities, and proficiency in German and English. Experienced candidates should have prior experience leading machine learning projects and possess comprehensive knowledge of enterprise architectures in cloud and on-premises environments.
EY offers an innovative work environment focused on helping clients grow beyond their current capabilities. The company provides flexible work models, international opportunities, comprehensive training and development programs, sports and leisure activities, brand discounts, and retirement planning. They emphasize personal and professional growth, allowing employees to determine their own career path and pace.
