Artificial intelligence engineer
Code 2511.11
Artificial intelligence engineer apply methods of artificial intelligence in engineering, robotics and computer science to design programs which simulate intelligence including thinking models, cognitive and knowledge-based systems, problem solving, and decision making. They also integrate structured knowledge into computer systems (ontologies, knowledge bases) in order to solve complex problems normally requiring a high level of human expertise or artificial intelligence methods.
Essential skills
Knowledge
- Python (computer programming)
- task algorithmisation
- algorithms
- information architecture
- information categorisation
- systems development life-cycle
- unstructured data
- business process modelling
- information structure
- data mining
- information extraction
- resource description framework query language
- data models
- principles of artificial intelligence
- computer programming
- artificial neural networks
- visual presentation techniques
Skills and competences
- analyse big data
- analyse business requirements
- apply ICT systems theory
- define technical requirements
- develop creative ideas
- design process
- develop statistical software
- create data sets
- deliver visual presentation of data
- use data processing techniques
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Sources
This service uses the ESCO classification of the European Commission and the Mapha Taxonomy developed by OTIC SOFOFA (CC BY 4.0), in an adapted version. Group codes come from the ILO's ISCO-08. See sources and licences