Digitalization Engineer

Job Detail

AI Platform and Application Development: - Design and develop a user-driven AI UI platform for self-annotation, model training, validation, and deployment across global manufacturing sites. - Develop and implement AI/ML/DL algorithms for Automation systems. - Lead AI applications for MES (Manufacturing Execution System) data, including model development for process optimization and predictive analysis. - Deliver and maintain OCR (Optical Character Recognition) application for serial number extraction (development completed, testing and deployment pending). - Apply standard process CRISP-DM (business understanding, data understanding, data preparation, modeling, evaluation, deployment), Machine Learning frameworks such as TensorFlow, PyTorch etc. & Agile Methodologies for Business Analytics projects - Continue development of AI models for Work Order Cycle Time prediction, collaborating with SAP and data engineering teams for feature enrichment. - Contributes to the company by creating patents and other intellectual property (IP Protection architecture) Manufacturing & Business Analytics Solutions: - Build and integrate Operations excellence dashboard modules by creating interfaces for site users to input planned production times and ideal cycle times and contribute to the global automation dashboard architecture. - Develop AI-driven quoting tools to improve response speed, reduce errors and rejections, and enhance overall customer experience - enabling the business to accelerate bid generation and increase win rates. - Leads discovery processes with business stakeholders to identify the business requirements and the expected outcome. Cross-Functional Collaboration & Project Leadership: - Work closely with external consultants and internal teams spanning IT (Data & Analytics, IT Applications), Manufacturing Engineering, Product Engineering, Business Excellence, Product Line Management, and Global PMO. - Coordinate multiple parallel projects ensuring data alignment, AI model integration, and process standardization across global sites.