• AI solution development: Design, build, and deploy secure and transparent AI applications for the platform, including knowledge bases, interactive dashboards, and recommendation systems.
• System integration: Facilitate seamless integration of AI applications with existing e-learning architecture, ensuring compatibility and performance.
• Data engineering: Manage structured and unstructured data pipelines, ensuring reliability, scalability, and compliance with confidentiality protocols.
• Application support: Provide IT support, troubleshoot applications, and resolve technical issues under the supervision of the Statistician.
• Risk management: Identify and escalate potential issues related to data security, compliance, vulnerabilities, and performance bottlenecks.
• Continuous improvement: Enhance system capabilities, stay updated on AI methodologies, and apply best practices to improve the platform’s performance.
• Collaboration: Work with knowledge management and collaborative tools to support cross-functional teams and ensure smooth project execution.

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• Experience: Minimum of 3 years’ post-qualification IT experience, with at least 1 year in a similar role and comparable capacity.
• Technical proficiency: Strong skills in Python for AI/ML development, web programming, SQL/MySQL/PostgreSQL, and structured data query tools.
• AI orchestration tools: Exposure to platforms such as Dify, n8n, LangChain, LlamaIndex, and familiarity with RAG, vector databases, LLM APIs, and AI agents.
• Dashboard development: Experience with data-driven dashboards and chat interfaces using Streamlit or Dash.
• Deployment tools: Proficiency in deploying applications with Docker and Git version control.
• Data science libraries: Hands-on experience with NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, or Keras.
• Cloud services: Knowledge of cloud services provided by the Digital Policy Office (e.g., GCIS, DCI) is an advantage.
• Security awareness: Ability to enforce data confidentiality protocols and address ethical, legal, and compliance risks.
• Problem-solving: Strong troubleshooting skills to resolve integration and application issues effectively.

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