Manufacturing Data Science - IPP - Expert System
Core
Design and build agentic AI-driven expert systems for predictive and autonomous decision-making in semiconductor manufacturing.
Role type
Senior IC machine-learning engineer (agentic AI/manufacturing)
Builds
Agentic AI systems, multiagent systems, and expert systems for production lines and equipment.
Domain
Semiconductor manufacturing / AI / Operations Research
Deliverable
production ML models
Required skills
Reinforcement learning, multiagent RL, planning under uncertainty, rule-based systems, Python, PyTorch, TensorFlow, scikit-learn, simulation modeling, digital twins, operations research, optimization, feature engineering
Preferred skills
Operations research, optimization, scheduling, routing, resource allocation
Technologies
PyTorch, TensorFlow, scikit-learn, RL libraries, discrete event simulation, agent-based simulation
Responsibilities
Design reasoning and decision policies leveraging rules, optimization, and learning; Use simulation and digital twins to model production flows; Integrate predictive models into expert systems; Collaborate with process owners and engineers to translate operational knowledge; Evaluate agentic AI solutions using KPIs like throughput, WIP, cycle time, OEE, and cost; Document architecture, algorithms, and support IP creation.
