ML systems and industrial IoT integration for Chinese markets
中用科技 is a five-person engineering outfit in Hefei building machine learning systems and industrial automation integrations. The stack spans ML frameworks (TensorFlow, PyTorch, Keras, MXNet), industrial protocols (Modbus, BACnet), and PLC/SCADA tooling (Schneider Electric, ABB, Siemens), suggesting dual focus on AI model deployment and manufacturing/building-systems control. Leadership-heavy hiring (13 of 20 open roles at senior/director level) indicates either scaling specialist teams or internal knowledge gaps in new technical domains.
中用科技 operates from Anhui province in China with a small core team focused on machine learning architecture, NLU systems, and industrial IoT. Their technical footprint spans classical ML ops (TensorFlow, PyTorch), industrial automation (Modbus, BACnet, ABB, Siemens), and systems optimization for high-concurrency and reliability. Active projects include multi-turn question answering, LLM optimization, ranking systems, and on-site technical service delivery. They face headwinds in product competitiveness and overseas expansion, with minimal hiring velocity despite 20 open roles.
ML systems architecture, industrial IoT integration (Modbus/BACnet), and NLU-based question answering. Stack includes TensorFlow, PyTorch, Go, and industrial controls (Schneider Electric, ABB, Siemens).
Headquartered in Hefei (合肥市), Anhui Province (安徽省), China. All hiring is domestic.
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