Trainer - AI for Users and Professionals Add expected salary to your profile for insights About the role Kornerstone Limited (a Trainocate Company) is seeking for passionate and experienced IT and AI Trainers to join our
Location: Hong Kong or Remote Type: Full Time The Role As a ML Researcher at Nex, you will develop new machine learning models and algorithms that push the boundaries of computational perception and interaction on Nex
About The Role We are seeking an experienced AI Engineer to manage the design, deployment, and optimization of production-grade language model systems. This role involves building applications using both commercial LLM APIs and self-hosted open-source models,
Location Hong Kong or Remote (Nex is located in Hong Kong and San Jose, California, USA). The Role As an ML Researcher at Nex, you will develop new machine learning models and algorithms that push the
Salary Salary range: HKD 60,000 – 90,000 monthly, commensurate with experience, with executive performance bonus and long-term equity incentive schemes. About the Role We are seeking an exceptional Chief Technology Officer (CTO) to lead the Company’s
Salary Salary range: HKD 60,000 – 90,000 monthly, commensurate with experience, with executive performance bonus and long-term equity incentive schemes. About the Role We are seeking an exceptional Chief Technology Officer (CTO) to lead the Company’s
C++ Quantitative Developer – High Frequency Trading Hedge Fund - Hong Kong / Singapore My client is a leading global hedge fund. They focus on low latency options market making, futures market making, delta 1 trading
My client is a leading global hedge fund and proprietary trading house and would like to expand their Hong Kong and Singapore offices. They focus on low latency options market making, futures market making, delta 1
Job Description: Responsible for the deployment of company’s products and solutions, ensuring they are integrated smoothly with customer’s existing systems and infrastructure. Implement and maintain security measures to protect data and infrastructure, adhering to industry standards