Solution Architect Manufacturing Process, Automation & AI

Solution Architect Manufacturing Process, Automation & AI

Arbetsbeskrivning

SKF works to reduce friction, make things run faster, longer, cleaner and safer. Doing this in the most effective, productive and sustainable way has made the SKF Group a leading global supplier of products, solutions and services within rolling bearings, seals, mechatronics, services and lubrication systems. Services include technical support, maintenance services, condition monitoring, asset efficiency optimization, engineering consultancy and training.

SKF is now looking for a results-oriented


Solution Architect
Manufacturing Process, Automation & AI


to join our growing team.

You will be part of the Future Factory team tasked to transform and equip the SKF Group Manufacturing footprint with digital solutions, skills and knowledge to strengthen World Class Manufacturing for competitive advantage. You will work with creating business value in manufacturing processes and engineering. This you will do through one digital platform of information to accelerate data reuse and accuracy for data driven efficiency improvement of production.

Key responsibilities
• Enable the exploration of new capabilities or performance optimization in a digital factory environment, by means of digital twins, AI, and machine learning.
• Design the framework of data, connections, models, and software standards that will enable the creation of a digital twin or digital copy of SKF manufacturing process, manufacturing facilities, or manufacturing system.
• Design and improve use of data, analytics, AI and machine learning around manufacturing systems to drive enhancements in productivity and product quality.
• Work with staff throughout the SKF organization to refine a product's design, and plan and develop new manufacturing systems.

Requirements
• University degree in Mechanical Engineering, Applied Physics, Computer Science, or equivalent
• Experience in manufacturing business processes
• Experience in manufacturing systems such as SIEMENS TeamCenter, and engineering systems such as PTC Windchill
• Experience in digital twins (e.g., process planning, process simulation, logistics or cost simulation), software robotics (e.g., robotic process automation), or artificial intelligence/machine learning
• Experience in working with manufacturing master data, data structure, data classification, and data analytics
• Fluent in English, both verbal and in writing


You will enjoy working here if
You have excellent interpersonal, communication and organizational skills. You want to become a leading member of a global, distributed transformation team focused on delivering quality services and solutions for the global SKF Manufacturing footprint.


We offer
• Opportunity to work with a diverse workforce in an international environment
• Interesting challenges in driving the digital readiness and digital solutions development to the full scope of the SKF Manufacturing footprint
• Professional growth opportunities in working with some of the absolute latest technologies. SKF is featured in e.g., Microsoft Ignite 2021, Microsoft Build 2021, Microsoft Hybrid Cloud Digital Event 2021 for their Hybrid Cloud and Industrial IoT technology deployments

Additional information
Preferred location: Airasca, Gothenburg or Sofia or any other major SKF manufacturing site in Europe.

You will report to Sven Vollbehr, Head of Digital Manufacturing, who is located in Gothenburg, Sweden.

For questions regarding the recruitment process, please contact Danijel Sjögren, Recruitment Expert at SKF Group Recruitment Center, at Danijel.Sjogren@skf.com.

How to apply
If you are interested and meet the above requirements, please submit your application with CV and cover letter (in English) no later than January 9, 2022. Please note that we will screen candidates continuously throughout the application period.

Kontaktpersoner på detta företaget

Susanne Areschoug

Sammanfattning

  • Arbetsplats: AB SKF Göteborg
  • 1 plats
  • Tills vidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 15 december 2021
  • Ansök senast: 9 januari 2022

Besöksadress

Hornsgatan 1
None

Postadress

Hornsgatan 1
Göteborg, 41550

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