Methods Engineer – Productivity, Digitalization & AI (w/m/d)
Core
Analyze direct work productivity, conduct time studies and process analyses, and drive digitalization and AI-driven process optimization in manufacturing.
Role type
Methods Engineer (Industrial Engineering & AI)
Builds
Performance dashboards, reporting tools, and AI applications for manufacturing.
Domain
Manufacturing / Industrial Engineering / AI
Deliverable
production ML models
Required skills
Lean Manufacturing, Time Study (MTM), Process Analysis, Data Analysis, Power BI, SQL, Machine Learning, Project Management
Preferred skills
Power Apps, MES, SAP, Process Automation
Technologies
Power BI, Power Apps, MES, SAP, SQL
Responsibilities
Analyze direct work productivity and identify improvement potentials; Conduct time studies, work measurements, and process analyses; Lead continuous improvement initiatives based on Lean Manufacturing principles; Drive digitalization projects and develop performance dashboards; Identify and implement AI use cases in manufacturing; Optimize manufacturing processes, material flow, and shopfloor layouts.
Seniority
Mid-level, hands-on IC
