computer vision engineer
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 called: computer vision specialist, computer vision project engineer, computer vision applied scientist, smart technics computer vision engineer, computer vision expert
- 32
- essential skills
- 20
- optional skills
- 8
- related roles
- 2511
- ISCO-08 group
Where you can go from here
8 rolesOccupations sharing the most essential skills with this one. The number is a count, not an opinion.
- data scientistWhat changes?14 skills in common
- data analystWhat changes?11 skills in common
- microelectronics smart manufacturing engineer9 skills in common
- artificial intelligence engineer7 skills in common
- data quality specialist6 skills in common
- digital games developer6 skills in common
- software developer6 skills in common
- mobile application developer5 skills in common
Essential skills
32- apply statistical analysis techniques
- computer programming
- computer simulation
- conduct literature research
- data engineering
- data science
- define technical requirements
- deliver visual presentation of data
- develop computer vision system
- develop data processing applications
- develop software prototype
- digital image processing
- digital twin technology
- establish data processes
- execute analytical mathematical calculations
- handle data samples
- image recognition
- implement data quality processes
- integrated development environment software
- interpret current data
- machine learning
- manage data collection systems
- normalise data
- perform data cleansing
- perform dimensionality reduction
- principles of artificial intelligence
- Python (computer programming)
- report analysis results
- scientific computing
- statistics
- use software libraries
- utilise computer-aided software engineering tools
Optional skills
20- cognitive computing
- computer graphics
- conduct qualitative research
- conduct quantitative research
- conduct scholarly research
- create data models
- debug software
- deep learning
- define data quality criteria
- design user interface
- digital systems
- image formation
- mathematical modelling
- perform data mining
- quantum computing
- query languages
- resource description framework query language
- signal processing
- state estimation
- use markup languages
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How close are you to being a computer vision engineer?
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