computer vision engineer (EN)
ISCO 2511 · v1.2.1
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.
Classification skills are not a measurement of your proficiency or future displaced hours.
Source aliases (EN)
- computer vision specialist
- computer vision project engineer
- computer vision applied scientist
- smart technics computer vision engineer
- computer vision expert
Skills and knowledge
Essential (EN) · 32
- normalise data
- computer simulation
- conduct literature research
- utilise computer-aided software engineering tools
- interpret current data
- computer programming
- establish data processes
- execute analytical mathematical calculations
- apply statistical analysis techniques
- machine learning
- perform dimensionality reduction
- image recognition
- develop computer vision system
- data engineering
- handle data samples
- perform data cleansing
- scientific computing
- implement data quality processes
- digital twin technology
- develop software prototype
- statistics
- use software libraries
- integrated development environment software
- digital image processing
- manage data collection systems
- deliver visual presentation of data
- report analysis results
- Python (computer programming)
- define technical requirements
- principles of artificial intelligence
- data science
- develop data processing applications
Optional (EN) · 20
- mathematical modelling
- use markup languages
- debug software
- digital systems
- perform data mining
- conduct scholarly research
- define data quality criteria
- image formation
- conduct quantitative research
- resource description framework query language
- query languages
- computer graphics
- cognitive computing
- signal processing
- state estimation
- quantum computing
- deep learning
- conduct qualitative research
- create data models
- design user interface
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