artificial intelligence engineer

Description

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.

Theoretical Knowledge

ESSENTIALTheoretical knowledge required

unstructured data information categorisation visual presentation techniques artificial neural networks information extraction computer simulation information structure computer programming principles of artificial intelligence business process modelling data models data mining systems development life-cycle resource description framework query language algorithms data science information architecture task algorithmisation Python (computer programming)

Practical Skills

ESSENTIALApplied skills & competences

creatively use digital technologies analyse big data create data sets design process develop creative ideas digital data processing use data processing techniques analyse business requirements develop statistical software define technical requirements apply ICT systems theory deliver visual presentation of data

OPTIONALOptional competences

manage business knowledge perform dimensionality reduction assess ICT knowledge build recommender systems build predictive models manage ICT data classification identify processes for re-engineering design application interfaces utilise machine learning apply systemic design thinking manage ICT semantic integration design database scheme build business relationships