71118_Quality Digital Solution Engineer (TC/TN)

Purpose of the Position: The Digital Solution Development Team builds and maintains AI-enabled digital platforms to improve product quality and operational efficiency. Partnering with Manufacturing, Quality, IT, and MT&E, this role turns shop-floor, QA operation and quality-control pain points into solutions including image recognition for process audits, traceability and process-compliance monitoring, critical KPIV/KPOV analysis, and MES‑integrated dashboards and analytics—advancing the Perineum quality roadmap toward Zero Quality issue and Zero Defects. Day to Day Responsibilities:  Develop 0 to 1 digital platform and tool to drive product quality improvement and operational efficiency. Skill included in computer programing for procedure flow and image recognition.  Operate and continuously improve existing solutions.  Family with data pipeline for analytic models’ utilization.  Aid in evaluating statistical/machine learning models to determine the validity of analytics results.  Support in testing and improving the accuracy of machine learning models.  Help create visualizations and dashboards to assist the company in interpreting and making decisions based on data.  Provide constructive recommendations to the engineering team based on data-driven insights.  Collaborate with Manufacturing, Quality, IT, and MT&E to translate Quality operation and Quality-control pain points into data-driven solutions and deploy them to production. Education & Experience: • B.S or above degree in Statistic, Mathematics, Computer Science, Information Management, Industrial Engineering or related • Have Quality dept experience is plus. Required Skills • Basic understanding of data analysis techniques and theorems, including statistics, machine learning, and deep learning. • Basic proficiency in Python and SQL programming. • Experience or familiarity with computer vision (e.g., CNNs, YOLO) and web frameworks (e.g., Flask, Streamlit, Django) is preferred. • Experience with HTML, JavaScript, CSS, and jQuery is a plus. • Good English comprehension in speaking, writing, and reading. • Proactive self-learning capability in a high-dynamic working environment.