The common responsibilities for this position include proactively identifying, acquiring, and assessing relevant datasets for project needs; performing data fusion processes and conducting in-depth statistical analyses; managing and maintaining large-scale taxi trajectories and relevant databases; overseeing the management of GPU/CPU server clusters for AI model training; developing and training machine learning models; conducting empirical research on mobile application privacy risks; collaborating with team members to design and implement research methodologies; preparing research reports and presentations; assisting in the development of tools or frameworks for privacy assessment; engaging in literature reviews; conducting experiments and data collection; contributing to project reports; and performing other relevant duties as required. Additionally, responsibilities include designing and implementing LLM/GenAI applications, developing educational materials on AI, and conducting research development activities, optimization modeling, and programming simulations.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
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