AIO Engineer

What you'll do - Build autonomous optimization systems for the real world — connecting AI, control, and process intelligence. - Prototype and tune reinforcement learning, model-predictive control, or hybrid physics-ML algorithms. About you - You’re an ML/Control engineer who wants your models to touch the real world. - You enjoy writing code that both trains and controls. - You’re excited by the challenge of turning industrial data into autonomy. What we're looking for - Familiar with chemical process control, with a chemical engineering background, and has designed interesting DCS programs and controllers. - Strong foundation in ML / optimization — e.g., reinforcement learning, MPC, system identification, or Bayesian methods. - Understanding of control theory, process systems, or simulation environments is a plus. - Experience with real-time data or streaming frameworks (MQTT, OPC-UA, Kafka, etc.) is a plus. In order for us to better evaluate your application, kindly attach your projects (website/github repo/pdf etc) with resume.

• Senior Executive (Data Engineer), AIO Management Decision Support Office

  National University Health System · Singapore, Singapore