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Description
Responsibilities include the following (other duties may be assigned as needed):Digital Strategy & Innovation
. Identify, evaluate, and prioritize digital technologies (AI/ML, RPA, GenAI, automation SW) to improve productivity, quality, and decision-making across the company’s operation.
. Conduct feasibility studies for new digital tools, including integration potential with G-MES, SAP, PLM, and supply-chain systems
. Develop roadmap proposals for smart-factory initiatives, such as automated material handling, logistics optimization, and sensor-based process control.
Automation Development & Deployment
. Design and build RPA workflows (UiPath) to automate repetitive tasks in PC, Purchasing, Finance, HR, and quality operations.
. Implement generative AI capability for document drafting, reporting automation, knowledge retrieval, and workforce productivity enhancement.
. Collaborate with IT to ensure integration, security compliance, and sustainable system maintenance.Machine Learning & Predictive Analytics
. Develop machine-learning model to forecast demand using EDI, production plan, MRP, macroeconomic variables, and historical data.
. Build predictive analytics dashboards to support supply chain planning, inventory optimization, and scenario analysis.
. Partner with HQ Gen AI team, external partners, and internal data owners to expand datasets and validate model accuracy.Smart Factory & Operations Optimization
. Lead discovery of digital use-cases in manufacturing (OEE improvement, defect prediction, real-time inventory visibility, logistics automation).
. Evaluate ROI for automation tools (AGV, vision system, sensor network, digital twin).
. Work with Operation, Maintenance, and Engineering to pilot and scale smart-factory projects across manufacturing sites.SCM & Process Transformation
. Lead process mapping, bottleneck identification, and quality workflow (material flow, label accuracy, in/outbound planning, inventory alignment).
. Recommend enhancement to ERP/G-MES process to improve data accuracy, lead-time reliability, and cross-department coordination.Qualification
· Bachelor in Engineering, Data Science, IT, Supply Chain, or related field.
· 1–7 years experience in digital transformation, automation, analytics, or operations improvement.
· Hands-on experience with RPA development (UiPath)
. Python/ML frameworks (Pandas, Scikit-learn, TensorFlow preferred) SQL and dashboarding (Power BI/Tableau)
· Understanding of manufacturing, supply chain, or automotive process.
Preferred Knowledge & Skill
· Experience with SAP (MM, PP, QM), GMES/MES, PLM, or warehouse automation system
· Familiarity with generative AI use-cases and prompt engineering.
· Experience in process mining, digital twin, or predictive maintenance.
· Background in lean manufacturing, operational excellence, or Six Sigma.Apply: send your resume to “ahs21c@visionspector.com”