Description
The role designs and builds agentic AI–driven expert systems for predictive and autonomous decision making in manufacturing. Responsibilities include developing multiagent systems, reasoning and decision policies, simulation and digital twin modeling, integration of predictive models, collaboration with operational teams, KPI-based evaluation, and documentation of architecture and research. The position requires a relevant bachelor’s or master’s degree, strong AI and machine learning knowledge, Python and AI/ML ecosystem experience, familiarity with manufacturing or logistics simulation, and strong analytical and communication skills.
