智能制造AI算法开发工程师
Core
Develop AI algorithms for intelligent manufacturing scenarios including anomaly detection, intelligent diagnosis, time-series forecasting, parameter optimization, scheduling, and yield analysis to support predictive maintenance, equipment optimization, and quality control.
Role type
Senior IC machine-learning engineer (industrial AI)
Builds
Production ML models for predictive maintenance and quality judgment; scheduling algorithms for multi-variety small-batch production lines; industrial vertical large models for fault diagnosis and SOP generation.
Domain
Manufacturing / Industrial AI / Operations Research
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM, time-series analysis, anomaly detection algorithms (CNN/RNN/Transformer/LSTM), predictive maintenance, parameter optimization, fault diagnosis, scheduling algorithms, industrial large language models (LLM), MLOps, edge/cloud deployment.
Preferred skills
MES/SCADA/IoT data systems, data middle platform construction.
Technologies
TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM, LLM, Docker, Kubernetes, MLOps tools.
Responsibilities
Develop AI models for anomaly detection, time-series forecasting, and parameter optimization; build scheduling algorithms using operations research and reinforcement learning; research and apply industrial vertical large models for fault diagnosis and SOP generation; design data pipelines and feature warehouses for algorithm services; deploy AI models on edge/cloud devices and optimize inference latency.
Seniority
Senior, hands-on IC
