• Chris Armbruster

Computer Vision Engineer (m/f/d). A competency profile.

Updated: Aug 28

The competency profile validates your domain expertise in data. It recognizes you as a Senior practitioner or advances your career to the Senior level.

By practitioners, for practitioners - this service is provided by AI Guild members recognized for their expertise.

 

Here is an example of a Computer Vision engineer.

She has a Master's degree in Image Processing and Computer Vision and started her career in the mobility industry two years ago. At the entry level, she has developed focus by refining her expertise by working on fundamental problems persistently.

 

What do you see in the competency profile?

This profile shows an early-stage data professional developing specialist expertise in

  • Computer Vision relevant to autonomous mobility; and

  • Product development based on Deep Learning models.

The focus is flanked appropriately by relevant experience with

  • Image processing techniques, and

  • Deploying models.

You will have noticed that the profile shows a great learning curve, e.g., building datasets faster by iteration. Also, there is evidence for the capability to productionize computer vision and (co-) lead on the implementation.

 

Focus: What is in and what has been left out?

You are looking at the profile of a graduate of one of the new specialist Master's programs in Europe. The program provides focus from the start. Yet, as well all know, not that many companies in Europe offer Computer Vision career tracks, so the practitioner faces the challenge of defining her career trajectory. The challenge has been met admirably, especially by highlighting the contribution to improving industry practice in data collection, efficient algorithm implementation, and product deployment.

 

Where is her #datacareer headed?

The most successful practitioners are "those with substantial expertise in at least one area." This practitioner is making headway by developing deep domain expertise in the intersection of Computer Vision, Deep Learning, and Autonomous Mobility. What you see here is a high-value profile. It is of high value because the No 1 impediment to advancing AI Adoption is access to practitioners with the 'right' skill set for companies. For a company in autonomous mobility: Here is a practitioner with the matching skillset that has developed the awareness essential to building a great career at the Senior level.

 

Do you want to progress to Senior, Lead, and Director?

It takes 60 days to build your competency profile. You can find out more by booking the first conversation to gain more insights at https://www.datacareer.eu.

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