Research Scientist

nahc.ioHong KongOn-siteFull-timeJunior, 1–2 yearsListed 6 days ago

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About this role

Overview
 
Our client is a high-growth regional SaaS platform, seeking an experienced QA Lead (Automation & Manual) to direct its software quality strategy and testing ecosystem.  In this role, you will partner closely with engineering leaders to establish testing standards and maintain high product excellence across fast-moving feature release cycles. This position is ideal for a hands-on QA leader who excels at bridging technical quality execution with business-critical outcomes.

What You Will Do

- Design, develop, and deploy industrial AI algorithms to optimize manufacturing processes, shop floor operations, and equipment performance .

- Collaborate closely with cross-functional hardware and technical solutions teams to integrate AI models with sensors, processors, and physical devices .

- Conduct hands-on testing, validation, and prototyping for enterprise solutions .

- Work directly on hard technical problems to improve operational efficiency for large-scale enterprise deployments .

- Train and mentor deployment engineers (including regional team members) on implementation best practices .

What You Will Need

- PhD or Master’s degree in Computer Science, Mechanical Engineering, Automation, or a related technical discipline .

- Hands-on experience developing and deploying AI/ML models or advanced algorithms for hardware systems and sensor data .

- Background in industrial controls, embedded processors, PLCs, or manufacturing automation is preferred .

- Practical problem-solving mindset with a passion for bridging software and physical hardware applications .

- Good command of English and Chinese (Cantonese or Mandarin) to collaborate effectively with regional teams and clients .