artificial intelligence engineer (EN)
ISCO 2511 · v1.2.1
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.
Classification skills are not a measurement of your proficiency or future displaced hours.
Source aliases (EN)
- 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
Skills and knowledge
Essential (EN) · 31
- information structure
- computer simulation
- systems development life-cycle
- creatively use digital technologies
- use data processing techniques
- information architecture
- computer programming
- data mining
- design process
- visual presentation techniques
- analyse big data
- algorithms
- artificial neural networks
- digital data processing · Type not available
- information extraction
- task algorithmisation
- develop creative ideas
- create data sets
- information categorisation
- business process modelling
- resource description framework query language
- analyse business requirements
- develop statistical software
- deliver visual presentation of data
- unstructured data
- apply ICT systems theory
- Python (computer programming)
- define technical requirements
- principles of artificial intelligence
- data science
- data models
Optional (EN) · 58
- Haskell
- Erlang
- manage ICT data classification
- SAS language
- Agile project management
- Ruby (computer programming)
- Common Lisp
- assess ICT knowledge
- Lisp
- Visual Basic
- business intelligence
- Java (computer programming)
- Prolog (computer programming)
- OpenEdge Advanced Business Language
- build predictive models
- JavaScript
- perform dimensionality reduction
- Perl
- manage business knowledge
- Smalltalk (computer programming)
- PHP
- Assembly (computer programming)
- C#
- apply systemic design thinking
- build recommender systems
- R
- Groovy
- identify processes for re-engineering
- SPARQL
- design database scheme
- operational research
- computer vision
- utilise machine learning
- Microsoft Visual C++
- TypeScript
- business analytics
- CoffeeScript
- Objective-C
- database development tools
- ML (computer programming)
- design application interfaces
- C++
- SAP R3
- Swift (computer programming)
- ICT project management methodologies
- MATLAB
- LINQ
- Scratch (computer programming)
- Process-based management
- lean project management
- build business relationships
- VBScript
- COBOL
- Pascal (computer programming)
- deep learning
- N1QL
- manage ICT semantic integration
- Scala
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