# 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 %**