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2026-08-14 17:28:44 +02:00

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Competences — computer vision engineer

Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/1c5a45b9-440e-4726-b565-16a952abd341).

Essential

  • apply statistical analysis techniques (skill/competence)
  • computer programming (knowledge)
  • computer simulation (knowledge)
  • conduct literature research (skill/competence)
  • data engineering (knowledge)
  • data science (knowledge)
  • define technical requirements (skill/competence)
  • deliver visual presentation of data (skill/competence)
  • develop computer vision system (skill/competence)
  • develop data processing applications (skill/competence)
  • develop software prototype (skill/competence)
  • digital image processing (knowledge)
  • digital twin technology (knowledge)
  • establish data processes (skill/competence)
  • execute analytical mathematical calculations (skill/competence)
  • handle data samples (skill/competence)
  • image recognition (knowledge)
  • implement data quality processes (skill/competence)
  • integrated development environment software (knowledge)
  • interpret current data (skill/competence)
  • machine learning (knowledge)
  • manage data collection systems (skill/competence)
  • normalise data (skill/competence)
  • perform data cleansing (skill/competence)
  • perform dimensionality reduction (skill/competence)
  • principles of artificial intelligence (knowledge)
  • Python (computer programming) (knowledge)
  • report analysis results (skill/competence)
  • scientific computing (knowledge)
  • statistics (knowledge)
  • use software libraries (skill/competence)
  • utilise computer-aided software engineering tools (skill/competence)

Optional

  • cognitive computing (knowledge)
  • computer graphics (knowledge)
  • conduct qualitative research (skill/competence)
  • conduct quantitative research (skill/competence)
  • conduct scholarly research (skill/competence)
  • create data models (skill/competence)
  • debug software (skill/competence)
  • deep learning (knowledge)
  • define data quality criteria (skill/competence)
  • design user interface (skill/competence)
  • digital systems (knowledge)
  • image formation (knowledge)
  • mathematical modelling (knowledge)
  • perform data mining (skill/competence)
  • quantum computing (knowledge)
  • query languages (knowledge)
  • resource description framework query language (knowledge)
  • signal processing (knowledge)
  • state estimation (knowledge)
  • use markup languages (skill/competence)

Market evidence (job-ad analysis, 5 ads, as of 2026-07-10)

Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.

Hard skills

  • computer vision — 100 %
  • algorithm development — 40 %
  • deep learning — 40 %
  • image processing — 40 %
  • geospatial analysis — 20 %
  • data engineering — 20 %
  • data preprocessing — 20 %
  • data science — 20 %
  • algorithm optimization — 20 %
  • automation — 20 %
  • business development — 20 %
  • algorithm design — 20 %
  • machine learning — 20 %
  • machine learning engineering — 20 %
  • machine learning pipelines — 20 %
  • model deployment — 20 %
  • model evaluation — 20 %
  • object recognition — 20 %
  • predictive modeling — 20 %
  • sensor fusion — 20 %
  • target tracking — 20 %
  • system design — 20 %

Methods

  • tracking — 20 %
  • transformer models — 20 %
  • transformers — 20 %
  • object detection — 20 %
  • scrum — 20 %
  • micro-service design — 20 %
  • machine learning — 20 %
  • agile methodologies — 20 %
  • CNNs — 20 %
  • CI/CD — 20 %
  • classification — 20 %
  • deep learning — 20 %
  • image segmentation — 20 %

Responsibilities

  • model deployment — 40 %
  • model training — 40 %
  • pipeline design — 20 %
  • proposal writing — 20 %
  • requirements breakdown — 20 %
  • software delivery — 20 %
  • model development — 20 %
  • model experimentation — 20 %
  • model testing — 20 %
  • innovation application — 20 %
  • engineer mentoring — 20 %
  • experimentation — 20 %
  • documentation maintenance — 20 %
  • data analysis — 20 %
  • data conversion — 20 %
  • client engagement — 20 %
  • code documentation — 20 %
  • cost estimation — 20 %
  • technical leadership — 20 %
  • technical solution development — 20 %
  • technology support — 20 %
  • system design — 20 %
  • system implementation — 20 %
  • status briefing — 20 %