PhD - AI & Digitalization Architect - Data strategies for the widespread use of AI technologies in Mobile Solutions (f,m,div.)

Aufgaben

• As a PhD - AI & Digitalization Architect - Data strategies for the widespread use of AI technologies in Mobile Solutions (f,m,div.), you are responsible for developing possibilities and a procedure for the use of AI in various fields.
• Furthermore, you will be responsible for applying AI and Data Science methods to manage and evaluate large volumes of process and application data.
• You will actively work on research topics such as predictive maintenance of production processes or optimization of logistics processes.
• Also you will develop data strategies for the widespread use of AI technologies in mobile solutions.

Profil

• Education: above-average completion of master’s/diploma studies in computer science, artificial intelligence, data science or comparable study programs, with a strong foundation in applied research and innovation leadership
• Personality: strong public-facing communication and storytelling abilities
• Working method: building strategic relationships with industry consortia, research insttutions, and innovation ecosystems. Forward thinking and credible thought leader, capable of representing organizations at conferences, roundtables and innovation networks
• Experience and expertise: advanced programming skills in Python, Java, or similar languages, combined with a strong engineering and architecture mindset. Deep expertise in machine learning, deep learning and intelligent system design across enterprise applications. Experienced with MLOps pipelines, strong background in data platforms, real-time processing and enterprise databases. Skilled in containerization, and modular architecture for production-scale AI systems
• Languages: very good German and English spoken and written