Volunteer Online Machine Learning Training Support
Organizational Context
The Istanbul International Center for Private Sector in Development (IICPSD) is a UNDP Global Policy Centre established in Turkey in 2011. It partners with the private sector and foundations to drive development through research, advocacy, and partnership brokering. The Center focuses on inclusive business, skills development, impact investing, and resilience. It also hosts several global initiatives aimed at fostering sustainable development and private sector engagement.
Job Purpose
This role involves supporting the Innovation Campus programme by delivering online training on Machine Learning and Generative AI. The online volunteer will contribute to curriculum development by reviewing and enhancing existing training materials, preparing demonstration videos, and conducting live lectures with practical coding sessions. The aim is to equip participants with foundational knowledge in data analysis, machine learning, and related technologies, fostering their technical skills and understanding within the context of sustainable development goals.
Responsibilities
The online volunteer will enhance existing training materials for Data Analysis, Modelling, Generative AI, Git & GitHub, Docker, and Deployment. This includes reviewing and improving 8 slide decks. The volunteer will also prepare pre-recorded demonstrations for each topic to precede live sessions. A key responsibility is delivering 8 live online lectures, incorporating practical coding demonstrations and addressing participant questions. Additionally, the volunteer will provide brief documentation on material updates and coordinate with the SDG AI Lab team. The role requires approximately 11-15 hours of work per week, with flexibility for evening and weekend sessions.
Work Experience
Required experience includes a strong programming background, teaching experience, and a high level of proficiency in Data Science. Knowledge of Python, Machine Learning, and Data Science is necessary, along with strong coding skills. Experience with Git & GitHub, Docker, and deployment is also relevant for the training content.
Skills
Proficiency in Python, Machine Learning, and Data Science. Strong coding skills. Experience in teaching or delivering training. Ability to review and improve technical training materials. Competency in Git & GitHub, Docker, and deployment concepts. Excellent communication skills for answering participant questions. Working knowledge of English is required.