Autonomous Process Optimization Engineer

SUPCON; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

SUPCON is seeking a Machine Learning/Control Engineer in Singapore to build autonomous optimization systems that connect AI, control, and process intelligence. You'll work on prototyping and tuning various control algorithms that interface with real-world data.

The ideal candidate has a chemical engineering background, is skilled in designing DCS programs, and possesses a strong foundation in machine learning and optimization methods. Exciting challenges lie ahead to transform industrial data into operational autonomy.

Qualifications

• Strong foundation in reinforcement learning, model-predictive control, or system identification.
• Experience with simulation environments is beneficial.
• Ability to write code for both training and control systems.

Responsibilities

• Build autonomous optimization systems that integrate AI with process intelligence.
• Prototype reinforcement learning and optimize control algorithms.

Skills

Machine Learning

Control Theory

Optimization

Process Control

Real-time Data Processing

Education

Chemical Engineering Background

Tools

MQTT

OPC-UA

Kafka

Job description

SUPCON is seeking a Machine Learning/Control Engineer in Singapore to build autonomous optimization systems that connect AI, control, and process intelligence. You'll work on prototyping and tuning various control algorithms that interface with real-world data.

The ideal candidate has a chemical engineering background, is skilled in designing DCS programs, and possesses a strong foundation in machine learning and optimization methods. Exciting challenges lie ahead to transform industrial data into operational autonomy.