Data & AI Analyst / Programmer (Python/SQL, over 40K)

Job Duties

• 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.

Job Requirements

• 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.

If interested for the above position, please send detailed resume with current and expected salary as well as date of availability by sending email to [email protected]

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