AIO Engineer

SUPCON International Business Pte Ltd; Singapore; On-site; SGD 100,000 - 140,000; Full time

Job summary

SUPCON International Business Pte Ltd is seeking an ML/Control engineer to build autonomous optimization systems that connect AI, control, and process intelligence for real-world applications.

You will prototype and tune reinforcement learning, MPC, or hybrid physics-ML algorithms, and write code that trains and controls, turning industrial data into autonomy. Experience with real-time data and industrial streaming is a plus.

Qualifications

• Strong ML/optimization foundation (RL, MPC, identification, or Bayesian methods).
• Familiar with chemical process control and engineering background.
• Experience with real-time data or streaming frameworks.

Responsibilities

• Build autonomous optimization systems connecting AI, control, and process intelligence
• Prototype and tune reinforcement learning, model-predictive control, or hybrid physics-ML algorithms
• Write code that both trains and controls
• Turn industrial data into autonomy

Skills

ML/Control

Chemical engineering

DCS programming

RL / MPC

Education

Chemical Engineering background

Tools

MQTT

OPC-UA

Kafka

Job description

About the role

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.

Key responsibilities

• Build autonomous optimization systems connecting AI, control, and process intelligence
• Prototype and tune reinforcement learning, model-predictive control, or hybrid physics-ML algorithms
• Write code that both trains and controls
• Turn industrial data into autonomy

About you

• ML/Control engineer who wants models to touch the real world
• Familiar with chemical process control with a chemical engineering background
• 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
• Experience with real-time data or streaming frameworks (MQTT, OPC-UA, Kafka, etc.)