智能终端数据技术专家
Core
Design and implement multi-modal data fusion analysis, edge-side efficient mining, and incremental learning capabilities for smart terminals to support personal assistants and active services.
Role type
Senior IC machine-learning engineer (multi-modal data fusion)
Builds
Platformed data flow analysis capabilities for personal assistants, data consumption, and active services
Domain
Consumer electronics / AI / Data engineering
Deliverable
production ML models
Required skills
multi-modal data fusion, edge-side efficient mining, incremental learning, semantic understanding, privacy-preserving data analysis, multi-modal feature processing, relationship modeling, user intent insight, vector retrieval, graph analysis
Preferred skills
database industry knowledge, hardware/AI/OS technology trends, technical ecosystem building
Technologies
multi-modal AI, vector retrieval, graph analysis
Responsibilities
Identify key issues in terminal data intelligence and plan multi-modal fusion analysis capabilities; Design and implement core algorithms for the HarmonyOS intelligent data base; Lead technical solution design and delivery for data analysis projects; Track industry trends in multi-modal AI and edge intelligence; Participate in internal and external technical ecosystem construction
