The highest standard in AI — AI Guild #datacareer
Computer Vision Engineer (m/f/d).
A mid-level competency profile.
Startup founders are exploiting the commercial opportunites that computer vision offers. What does a career in an early-stage startup look like?
She is 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.
For companies and practitioners: The competency profile validates your technical competency and domain expertise in data. It recognizes you as a specialist and advances your career to Senior, Lead, and Director. By practitioners, for practitioners — this service is provided by the AI Guild.
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.
Rapid career progress
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.
Specialization
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.
The AI Guild’s 1900+ Specialists
The AI Guild is Europe’s leading practitioner community in Data Analytics, Data Engineering, Data Science, Machine Learning, Deep Learning, NLP, Computer Vision, and MLOps.
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.
