SSOC 2024 unit
Manufacturing Verified · 21 Mar 202425143
Artificial intelligence/Machine learning engineer
Artificial intelligence (AI)/Machine learning (ML) engineer supports the production of scalable and optimised AI/ML models. He/she focuses on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data in order to deploy AI/ML solutions from theoretical data science models. He/she runs experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
Level
unit
Mapped ISCO
1
Source
SingStat
In this unit group: sibling units
Official data
| Official name | Singapore Standard Industrial Classification (SSOC 2024) |
| Issuing authority | Department of Statistics Singapore (SingStat / DOS) |
| Tax authority | Inland Revenue Authority of Singapore (IRAS) (IRAS) |
| Purpose | Classifies occupations in Singapore for labour statistics, workforce planning, and international reporting. |
| Active version | SSOC 2024 (21 Mar 2024) |
| Hierarchy level | Unit (final leaf, 5-digit) |
| Source | https://www.singstat.gov.sg/standards/standards-and-classifications/ssic |
| Prior versions | SSIC 2020, SSIC 2015 |
Definition & tasks
Artificial intelligence (AI)/Machine learning (ML) engineer supports the production of scalable and optimised AI/ML models. He/she focuses on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data in order to deploy AI/ML solutions from theoretical data science models. He/she runs experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
Tasks
No tasks listed.
Examples
Under this unit
No examples found.
Elsewhere
No exclusion examples found.
Hierarchy context
Major group
2 PROFESSIONALSUnit group
2514 Applications and Systems ProgrammersCorrespondence tables
SSOC 2020
- No SSOC 2020 mapping found.
ISCO-08
- 2514 — Applications programmers
Alphabetical index entries
Data source: Department of Statistics Singapore (SingStat / DOS) (https://www.singstat.gov.sg/standards/standards-and-classifications/ssic). Official SSOC 2024 workbooks.
Last refresh: 21 Mar 2024. Version: SSOC 2024.