AI/ML Engineer [CCP for ICT Professionals (Data and AI)]

About the roleWe are seeking a motivated AI/ML Engineer to joinour growing AI and software development team. Working closely with our CTO andsenior engineers, the AI/ML Engineer will design, develop, deploy and maintainmachine learning models, LLM-based and agentic-AI systems, and AI-poweredbusiness applications that drive our digital transformation.Therole uses Claude Code and modern AI-assisted development workflows to build andoperationalise AI/ML solutions across client projects, internal systems andcloud infrastructure. This is an excellent opportunity for an individualconverting into applied AI/ML engineering, with structured on-the-job trainingand mentorship.KeyResponsibilities•  Gather and scope business requirements to define AI/ML solutionscope for TMS and courseware automation initiatives.•  Deploy and manage AI/ML models on cloud infrastructure to enhancethe performance, scalability and security of solutions.•  Develop and apply algorithms and computational methods that enablemodels to learn, adapt and make predictions from data.•  Build and deploy computer vision and image analytics models tosupport automated content and document processing.•  Manage version control and change tracking of AI/ML codebases andmodel artefacts to ensure reproducibility and integrity.•  Design data structures and database models to support training,storage and retrieval of AI/ML datasets.•  Build and maintain data pipelines to collect, transform andintegrate data for AI/ML model development.•  Implement data handling guidelines and compliance controls acrossthe AI/ML data lifecycle.•  Develop data strategy and supporting architectures to maximise thevalue of data assets for AI/ML initiatives.•  Install, monitor and troubleshoot databases supporting AI/MLworkloads and model deployment.•  Monitor and evaluate emerging AI/ML technologies to identifyopportunities for enhancing solutions.•  Build reasoning components that combine learner data, coursemetadata and business rules to recommend training pathways and automatecourse/content decisions for the academy.•  Develop pattern recognition models to analyse data and surfacehidden patterns for problem solving.•  Plan, monitor and control AI/ML project delivery and resourceutilisation to achieve project objectives.•  Embed security principles into AI/ML solution design to mitigaterisks and protect data.•  Develop adaptive recommendation and optimisation models that learnfrom user feedback over time to personalise course and content suggestions forlearners.•  Engage and align stakeholders to ensure AI/ML initiatives meetorganisational requirements and objectives.•  Develop integration roadmaps to embed AI/ML components seamlesslyinto existing ICT systems.•  Develop test strategies and procedures to verify AI/ML models meetdesign specifications and performance targets.•  Build text analytics and NLP solutions to extract themes, patternsand trends from text data.TechnicalSkills & Requirements•  Diploma or Degree in IT, Computer Science, Software Engineering,Data Science or a related field.•  Foundation in Python and machine learning concepts, includingsupervised and unsupervised learning and model evaluation.•  Understanding of LLMs, prompt engineering and AI integration.•  Basic knowledge of HTML, CSS, JavaScript and modern webtechnologies.•  Familiarity with cloud platforms, hosting, DevOps or MLOps concepts.•  Strong problem-solving and troubleshooting skills, with awillingness to learn new technologies quickly.