Smart Factory System Engineer

The role of a Smart Factory Systems Designer involves designing, implementing, and maintaining smart factory systems in a manufacturing environment. You will collaborate with cross-functional teams to ensure that the systems meet business needs and provide technical expertise in evaluating and implementing new technologies. It is your responsibility to ensure that the systems are reliable, scalable, and secure. Your main responsibilities will include: - Utilizing your experience in systems engineering, particularly in a smart factory or manufacturing setting. - Demonstrating in-depth knowledge of smart factory systems and technologies, including industrial automation, robotics, IoT, and data analytics. - Having a strong understanding of manufacturing processes and workflows, as well as experience in designing and implementing smart factory solutions. - Familiarity with Aveva automation software products such as System Platform, InTouch, Historian, or similar products. - Ability to analyze complex data sets, identify trends, and provide insights. - Excellent problem-solving and troubleshooting skills in various areas such as MLO, REMS, Enterprise Labelling, and TPM Mobile. - Strong communication and collaboration skills to work effectively in cross-functional teams. In terms of Smart Factory Systems Design, your key responsibilities will involve: - Designing and implementing systems that optimize manufacturing processes and enhance efficiency within a smart factory environment. - Applying knowledge of industrial automation to develop and implement automated solutions that improve manufacturing processes. - Identifying and implementing process improvements to increase efficiency, reduce costs, and enhance quality. - Utilizing Lean Manufacturing methodologies to minimize waste and maximize productivity in manufacturing systems. - Integrating Aveva software products into manufacturing processes to boost efficiency and productivity. - Managing projects effectively to ensure they are completed on time, within budget, and aligned with business objectives. - Troubleshooting computer systems, networks, and applications to identify and resolve issues. - Implementing Machine Learning algorithms and statistical models to enhance computer systems" performance and task efficiency.,