Production Engineering Specialist - MES & Industrial AI

About the role

This Production Engineering Specialist role contributes to the EL Smart Power business in Xiamen, China, and reports to the Production Manager. The specialist optimizes the production organization's assembly methods, processes and equipment to minimize labor hours while supporting quality, efficiency, cost and safety targets. The role covers MES and LES system development, large smart manufacturing projects and industrial AI upgrades.

Key responsibilities

• Back-end development, solution design, interface development and maintenance of the Production system, including Manufacturing Execution System (MES) and Logistics Execution System (LES)
• Develop core modules for work order management, production reporting, quality control, material traceability, equipment data collection and production reports
• Build and jointly debug interfaces between MES and ERP, WMS, SCADA and on-site PLC equipment
• Optimize system performance, troubleshoot faults, prepare technical documents, conduct code reviews and mentor junior developers
• Lead and deliver large-scale smart manufacturing projects, coordinating tasks, resources and schedules, and organizing technical and issue reviews
• Drive intelligent upgrades of MES, develop machine learning and AI applications, and implement industrial AI scenarios such as intelligent early warning, quality inspection and process optimization

Required profile

• Proven experience organizing large-scale projects with strong task planning, cross-party coordination and delivery capability
• Hands-on experience developing AI and machine learning applications, with familiarity with mainstream deep learning frameworks
• Ability to design integration schemes that connect AI algorithms with MES business systems
• Candidates with MES and industrial AI project experience in equipment manufacturing, electrical and electronics industries are preferred

Required skills

• Java and C#/.NET; MySQL/SQL Server and complex SQL optimization
• WebService, HTTP, OPC UA and other protocols; equipment data collection
• Solid knowledge of core MES business: production traceability, process management, production reporting and quality inspection