Vision Application Expert (m/f/d)

le contenu du travail

Posting Date: Aug 20, 2021

Location:

Karlsruhe, DE

Business Area: Körber Digital

Company: Körber Digital

Do you want to redefine established processes and industries by leveraging IoT, Artificial Intelligence and Industry 4.0 principles? Would you like to be part of a digital solution that increases the quality of pharmaceutical products and, thus, improves the life of millions every day? If your answer is yes, you should continue reading!

With HQ in Karlsruhe, our newest established corporate venture is poised to become the leading end-to-end AI solution provider for quality and performance improvements in pharmaceutical visual inspection. The digitally enabled solution is not just significantly improving inspection procedures using AI but reshapes and simplifies all adjacent processes.

We are data scientists, engineers, designers, product managers, and regulatory compliance experts. We are a team, united by our shared ambition: We exploit the value of data to revolutionize visual inspection to the benefit of all!

Become part of an amazing journey and let us jointly deliver the difference in Pharma!

Your role in our team

• You provide quality assurance during the overall integration and implementation process
• You develop holistic implementation concepts for various inspection machine types
• You provide continuous feedback of implementation relevant information into the ongoing product development
• You ensure inspection machine preparation and configuration for optimal operations with our software product
• You act as the main contact person for overall machine implementation questions internally and externally
• You convince and represent the implementability of our solution with various inspection machines in front of our customers
• Your multi-faceted tasks and topics will include: Labeling, archiving as a service, implementation & integration of DL in machines, image recording/storage/export, configuration amendments, validation as well as evaluation of camera systems
• You will support our Data Science team in the creation of consolidated image datasets that serve as the basis (training, testing and validation) of deep learning models.
  
  

Your profile

• You have a degree in optical engineering, computer vision & image processing, electrical engineering or a related discipline, and at least three years of professional experience in digital image processing and/or classic image processing in the pharmaceutical industry
• You are familiar with inspection machine configuration for optimal operations with the given vision tools and possess in-depth knowledge of camera technology, optics, lighting, and programming
• You are experienced in the installation and validation of Automated Visual Inspection (AVI) systems and familiar with the classification of defects, able to quickly assess defect sample sets & translate findings into high-performing recipes for AVI
• You understand, develop, and implement state-of-the-art tools and technologies in digital imaging and image processing based on a sound understanding of pharmaceutical inspection processes, including documentation needs and regulatory requirements
• You possess profound experience with inspection machines and their overall architecture and are thus able to understand the overall mechanic and electrical structure of various inspection machine vendors
• You enjoy familiarizing yourself with different visual inspection concepts from different vendors and act as a visionary when it comes to (shaping) the future of visual inspection
• As a proactive team worker with a digital mindset and a passion for technology and people, you effortlessly communicate with different stakeholders and translate and mirror vision-related facts into the product development team
  
  

What we offer

• For you to take responsibility and make an impact from day one
• Growth opportunities on and off the job and a generous individual development budget
• A competitive salary and benefits package, with flexible working hours and remote work options
• Company mobile phone, laptop (MacBook / PC), and other tools you might need