Career Overlap Occupation record
RecordJob

Where a computer vision engineer can go next

5 destinations recorded, ranked by how much of the target role a computer vision engineer already meets. The closer to the top of Table 1, the less there is to learn.

Computer vision engineers research, design, develop, and train artificial intelligence algorithms and machine learning primitives that understand the content of digital images based on a large amount of data. They apply this understanding to solve different real-world problems such as security, autonomous driving, robotic manufacturing, digital image classification, medical image processing and diagnosis, etc.

Also known as computer vision applied scientist, computer vision expert, computer vision specialist, computer vision project engineer, smart technics computer vision engineer.

Professionals 52 skills on file 5 career moves 0 above 60% overlap Closest: data quality specialist, 37%

Fig. 2 · Career map 5 nearest · ESCO v1.2.1
data quality specialist 37% covered data analyst 36% covered data entry clerk 29% covered data scientist 26% covered ICT research manager 23% covered computer vision engineer You are here
  • 70% and above · short step
  • 50 to 70% · real move
  • Below 50% · substantial retraining
The 5 nearest destinations from computer vision engineer, each one a link to that move’s record. Distance from the centre is how much retraining the move takes; the figure on each is how much of that role a computer vision engineer already covers. All 5 are listed in the tables below.
Table 1

Table 1 · A bigger jump

Possible, but expect real retraining rather than a sideways step.

Table 2

Table 2 · What the job itself asks for

A computer vision engineer needs 32 required skills and areas of knowledge. These 10 are the ones fewest other jobs share, so they say the most about the work.

Required skill Area
  • digital image processing arts and humanities
  • develop data processing applications working with computers
  • handle data samples information skills
  • perform dimensionality reduction working with computers
  • digital twin technology information and communication technologies (icts)
  • develop computer vision system working with computers
  • normalise data working with computers
  • scientific computing information and communication technologies (icts)
  • implement data quality processes working with computers
  • machine learning information and communication technologies (icts)
Table 3

Table 3 · Jobs that lead here

The reverse view: occupations whose skills already cover much of what a computer vision engineer does. The figure is how much of this job each one brings.

Index

Look up another occupation

Computer vision engineer is filed under Professionals, ISCO major group 2. The full index lists all ten groups.

Note

How these figures were compiled

Overlap is how much of the target role is already part of a computer vision engineer’s work. It is directional: the figure for the reverse move differs. Every entry above opens the full comparison for that move: what carries over, what is missing, and where to start. The full method.