Documentation & Knowledge Building:

Assist in developing clear, step-by-step Standard Operating Procedures (SOPs) for AI-related projects.
Help organize and structure definitions of domain-specific objects and concepts, laying the groundwork for intelligent building solutions.

Applied Research & Innovation:

Support exploratory research that integrates AI algorithms into systems managing indoor environments, with a focus on efficiency and comfort.
Contribute to testing and evaluating new tools, platforms, and IoT solutions that enhance intelligent control and data-driven decision making.

Required Skills:

Interest in Sustainable Technology:A curiosity about how technology influences smart building, energy usage, and occupant comfort.
Eagerness to learn more about the principles and practices behind efficient environmental management.
Technical & Analytical Aptitude:Basic understanding of programming concepts and a willingness to learn AI and data analysis techniques.
Enthusiasm for digging into technical challenges, experimenting with solutions, and continuously improving your skill set.
Communication & Collaboration:Ability to create well-structured, easy-to-follow documentation.
Openness to teamwork, feedback, and mentorship, contributing to a dynamic and supportive environment.

Preferred Qualifications:

Exposure to a programming language like Python, MATLAB, or similar.
Interest in IoT, data-driven optimization, or building automation systems.
Previous projects or coursework related to AI, data science, or smart building technologies are a plus.

AI Innovation Engineer Intern