As an Application Engineer Industry 4.0, your key responsibilities are to:
Commission standardized, as well as pilot (not yet fully standardized), applications and software systems into complex industrial automation system landscapes in the paper industry, ensuring seamless integration and optimal performance.
Configure and optimize all applications purchased by the customer, either on-premise or as-a-service, tailoring them to meet specific requirements and customer standards.
Develop projects to improve the usability of platforms and applications, as well as provide our Team with new tools we can use to improve our services.
Collaborate closely with your peers in the 1st, 2nd and 3rd level support organizations, providing exceptional back-office support and troubleshooting assistance to customers.
Conduct comprehensive system testing to verify and validate software functionality, performance, and reliability.
Provide technical training and guidance to customers, fostering positive relationships and ensuring long-term client satisfaction.
Determine and define requirements for the system and products in advance in consultation with the customer.
Develop and perform AI-supported data analytics in conjunction Papermaking/Process Technologists within the scope of our service offerings.
Engage in know-how transfer from R&D to the OPL for newly developed Products and document processes, procedures, and system configurations, ensuring accurate and accessible records.
Expand and keep up-to-date our internal project documentation related templates and contribute to continuous improvement of our processes & tools.
Maintain up-to-date knowledge of industry trends, emerging technologies, and best practices to continuously improve the quality of service.
Job Requirements:
As an Application Engineer, you will need:
Bachelor's degree in Automation Engineering, Computer Science, or a related field.
A minimum of 3 years of experience in software system commissioning, configuration, and support, preferably in the paper industry.
Strong technical skills, including proficiency in Big Data Analytics, AI modelling, Statistical Analyses in industrial context
Experience with industrial database / historian systems (SQL, OPC technologies, common trending & reporting tools) and industrial server operating systems
Basic knowledge in Industrial control systems and communication protocols
Excellent problem-solving abilities and a keen eye for detail.
Exceptional communication and interpersonal skills, with the ability to explain complex technical concepts to a diverse audience.
Self-motivated and proactive, with the ability to work independently or as part of a team.
Willingness to travel as needed for commissioning projects and customer support.
Able to work in network structures and cross-functional, multi-cultural teams
Education: Bachelor's degree in:
Engineering in Automation / Mechatronics (or a related field) with experience in Data Science / Modelling
Computer Science with emphasis on AI / Data Analytics with experience in industrial applications
Master’s degree, PhD, or Specialization are an asset.