Old Version
Introduction Of MASCO Structure Of Classification Starting Salary Guidelines
Index Job Directory Publication
Agency Login
BM EN
Recent Searches
Major Group
2
Professionals
Sub-Major Group
25
Information and Communications Technology Professionals
Minor Group
251
Software and Application Developers and Analysts
Unit Group
2519
Software and Application Developers and Analysts Not Elsewhere Classified
Minor Unit Group
MASCO Code
2519-03
Compare
Machine Learning/Artificial Intelligence (AI) Engineer designs, develops and deploys artificial intelligence and machine learning models to address complex real-world problems and support data-driven decision-making. The role involves analysing large and complex data sets, building and optimising predictive and intelligent systems, and integrating these models into software applications or operational environments. They work collaboratively with multidisciplinary teams to ensure AI solutions are effectively implemented and aligned with organisational objectives and performance requirements.
Tasks
Design, build, and train machine learning and Artificial Intelligence (AI) models.
Preprocess, clean, and validate data from multiple sources to ensure quality for modelling.
Analyse data to extract insights and support model development.
Evaluate, tune, and optimise model performance.
Deploy models into production environments and monitor their operation.
Prepare documentation detailing data sources, models, algorithms, and methodologies.
Collaborate with data science, engineering teams, and stakeholders on AI solutions.
Propose and implement innovative applications of existing data sources and structures to support AI solutions.
Skills
Basic
Critical thinking and reading comprehension.
Effective communication, active listening, and teamwork skills.
Proficiency in programming languages such as Python or Java.
Strong analytical, mathematical, and problem-solving abilities.
Time management and ability to work independently or collaboratively.
Specific
Ability to evaluate and optimise model performance using relevant metrics and techniques.
Ability to implement and monitor Artificial Intelligence (AI) models in cloud environments.
Ability to integrate machine learning models with APIs and automation tools.
Competency in creating data visualizations to communicate insights effectively.
Competency in data analysis, mining, and manipulation to extract actionable insights.
Knowledge in machine learning fundamentals and algorithms for solving business problems.
Proficiency in big data tools and platforms for scalable data processing.
Proficiency in designing and managing data pipelines while ensuring data quality and governance.
Proficiency in developing, training, and deploying machine learning models using frameworks.
Proficiency in Python and SQL for data processing and model implementation.
Additional Info
QUALIFICATION
Bachelor’s degree or equivalent
Related Courses
Claimable Course
e-Latih Online Course
Madani TVET Course
Compare (/2)
View Comparison

📌 NOTICE 📌

Welcome to the new version of the e-MASCO Portal.

This portal is currently being enhanced and upgraded by the Ministry of Human Resources (MOHR). At present, the portal content is based on MASCO 2020, and the updated version is expected to be fully completed by the first quarter of 2026. Some information and functions may still be in the testing phase. We greatly appreciate any feedback and suggestions from users to help improve the features and content of this portal. Please share your views through the Feedback page.