We are seeking a highly skilled and passionate Advanced DigitalManufacturing Engineer to join our dynamic Backend Operations Industry team. The ideal candidate will have a strong background in manufacturing process control, data science, machine learning, process optimization, and IIoT solution architecture within a manufacturing environment. As a key member of our team, you will play a crucial role in developing and implementing advanced analytics solutions to enhance our manufacturing processes and drive operational efficiency. This includes the opportunity to develop a roadmap to define the factory of the future, automation, and digitalization strategy.In your new role you will:Utilize statistical analysis, machine learning, and data mining techniques to analyze manufacturing data and identify opportunities for process improvement such that manufacturing equipment are able to self-heal with adaptive process control and optimization.Collaborate with cross-functional teams to gather requirements and understand the manufacturing processes, ensuring alignment with business objectives.Develop and implement advanced process control models to optimize manufacturing processes, improve yield & OEE, and reduce variability.Design and deploy real-time monitoring systems to track key performance indicators and identify anomalies in the manufacturing processes.Work closely with engineering, IT, and operations teams to integrate data-driven solutions into existing manufacturing systems and includes defining and developing data connectivity and storage strategy.Develop equipment standards and specifications for advanced manufacturing process control.Integrate solution design to support overall lights-out manufacturing automation roadmap.Stay current with industry trends and emerging technologies to continuously enhance and innovate manufacturing data analytics capabilities.You are best equipped for this task if you have:Master's or in Data Science, Statistics, Computer Science, Engineering or a related field.Proven experience working as a Process Engineer and Data Scientist in a manufacturing environment.Strong proficiency in statistical analysis, machine learning, and predictive modeling techniques.Expertise in programming languages such as Python for data analysis and modeling.Familiarity with process control systems, sensor data, and real-time analytics in a manufacturing shopfloor environment.Excellent problem-solving and communication skills with the ability to translate complex technical concepts to non-technical stakeholders.Excellent communication and presentation skills.Strong business acumen skills.Team player with strong stakeholder management skills.BenefitsWide range of training offers & planning of career developmentInternational assignmentsDifferent career paths: Project Management, Technical Ladder, Management & Individual ContributorExempt working hours are flexible within core hours (9am-12pm & 2pm- Home office options for certain tasks or due to personal circumstances. Applicable to exempt employees working on office hours onlyPart-time work possible for exempt employees onlyExempt staff could apply up to 3-month sabbatical leave, subject to business situationMedical coverageIn-house clinic operates 24 hours, doctor consultation possible from 9am to 5pmHealth promotion programsSocial Recreation Center with facilities, such as gym room, squash, badminton and netball court, zumba and yoga classes, etc.On-site CafeteriaPaid sick leave according to lawAdditional 3% to Employee Provident Fund after 10 years service with Infineon MalaccaRe-employment opportunitiesProductivity incentive bonusBus service for shift employees Allocated carpark for disabled and pregnant employees
