AI/ML Engineer
Core
Design, develop, and deploy production AI solutions using reinforcement learning to optimize dynamic manufacturing decisions in semiconductor operations.
Role type
Senior IC machine-learning engineer (reinforcement learning)
Builds
Intelligent systems for scheduling, dispatching, planning, and resource allocation in semiconductor manufacturing
Domain
Semiconductor manufacturing / Industrial AI
Deliverable
production ML models
Required skills
Reinforcement learning, Deep learning, Python, PyTorch, TensorFlow, Simulation environments, MLOps, CI/CD
Preferred skills
Generative AI, LLMs, RAG, Multi-agent systems, Cloud platforms (Azure/AWS/GCP), Docker, Kubernetes, Semiconductor domain knowledge
Technologies
PyTorch, TensorFlow, Git, Docker, Kubernetes, MLflow, Azure, AWS, Google Cloud
Responsibilities
Design, train, evaluate, and deploy machine learning and deep learning models; Develop reinforcement learning solutions for complex decision-making; Build RL environments, reward functions, and policies; Train and optimize agents using simulation and operational data; Partner with software engineers to integrate AI capabilities into production; Contribute to MLOps and lifecycle management
Seniority
Senior, hands-on IC
