artificial intelligence engineer

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.

ESCO Code

2511.11

NACE Code

62.2 - Computer consultancy and computer facilities management activities

62.1 - Computer programming activities

74.99 - All other professional, scientific and technical activities n.e.c.

Scope note

Excludes people performing managerial activities.

Alternative Labels

AI system designer

machine learning engineer

intelligent systems developer

linked data engineer

semantic technologies engineer

designer of intelligent systems

ICT intelligent systems designer

machine learning systems designer

intelligent systems engineer

intelligent system designer

artificial intelligence designer

intelligent systems designers

Regulatory Aspect

To see if and how this occupation is regulated in EU Member States, EEA countries or Switzerland please consult the Regulated Professions Database of the Commission. Regulated Professions Database:

http://ec.europa.eu/growth/single-market/services/free-movement-professionals/qualifications-recognition_en

Skills & Competences

Essential Skills and Competences

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

Essential Knowledge

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

Optional Skills and Competences

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

Optional Knowledge

Agile project management Assembly (computer programming) C# C++ COBOL CoffeeScript Common Lisp Erlang Groovy Haskell ICT project management methodologies Java (computer programming) JavaScript LINQ Lisp MATLAB ML (computer programming) Microsoft Visual C++ N1QL Objective-C OpenEdge Advanced Business Language PHP Pascal (computer programming) Perl Process-based management Prolog (computer programming) R Ruby (computer programming) SAP R3 SAS language SPARQL Scala Scratch (computer programming) Smalltalk (computer programming) Swift (computer programming) TypeScript VBScript Visual Basic business analytics business intelligence computer vision database development tools deep learning lean project management operational research

Skills Group Share

Concept status

Concept Uri

http://data.europa.eu/esco/occupation/35553663-deab-4d9a-bf22-15c1625d28e8

Status

released

Occupations