computer vision engineer

Description

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.

Theoretical Knowledge

ESSENTIALTheoretical knowledge required

image recognition computer simulation digital twin technology statistics data engineering integrated development environment software computer programming principles of artificial intelligence digital image processing scientific computing data science machine learning Python (computer programming)

OPTIONALAdjacent knowledge that strengthens fit

query languages mathematical modelling image formation digital systems deep learning signal processing computer graphics state estimation quantum computing resource description framework query language cognitive computing

Practical Skills

ESSENTIALApplied skills & competences

develop data processing applications perform dimensionality reduction utilise computer-aided software engineering tools manage data collection systems interpret current data handle data samples execute analytical mathematical calculations establish data processes develop computer vision system apply statistical analysis techniques use software libraries conduct literature research report analysis results implement data quality processes define technical requirements perform data cleansing deliver visual presentation of data normalise data develop software prototype

OPTIONALOptional competences

debug software perform data mining define data quality criteria conduct scholarly research conduct quantitative research conduct qualitative research design user interface create data models use markup languages