Manufacturing AI & Automation Engineer

GOLDTECH RESOURCES PTE LTD; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

GOLDTECH RESOURCES PTE LTD is seeking an AI & Automation Engineer to develop data-driven solutions and machine learning models to enhance manufacturing performance. Responsibilities include optimizing processes, deploying AI, and collaborating across teams.

The ideal candidate will have a degree in engineering or related fields, strong programming skills, and knowledge of manufacturing operations.

Qualifications

• Degree in Engineering, Computer Science, Data Science, or related discipline.
• Strong programming experience in Python.
• Hands-on experience with SQL and database technologies.
• Good understanding of manufacturing operations and process engineering.

Responsibilities

• Identify opportunities to improve manufacturing performance through data-driven solutions.
• Develop and implement advanced process control strategies.
• Design, develop, and deploy AI and machine learning models.

Skills

Programming in Python

Data analysis

Machine learning

Process control

Education

Degree in Engineering, Computer Science, or related discipline

Tools

SQL

Git

Job description

Job Overview

We are seeking an AI & Automation Engineer to develop data-driven solutions, machine learning models, and advanced process control strategies to optimize manufacturing performance and drive operational excellence.

The ideal candidate should possess strong programming capabilities, analytical thinking, and a good understanding of manufacturing or process engineering environments.

Key Responsibilities

Process Optimization & Automation

• Identify opportunities to improve manufacturing performance, yield, productivity, and cost efficiency through data-driven solutions.
• Develop and implement advanced process control strategies to enhance process stability and equipment performance.
• Support the integration of manufacturing data collection and process control workflows.

AI, Data Analytics & Machine Learning

• Design, develop, and deploy AI and machine learning models to support manufacturing improvement initiatives.
• Analyze large volumes of operational and manufacturing data to generate actionable insights.
• Develop predictive models and automation solutions to improve operational decision‑making.

Software & Workflow Development

• Build and maintain workflow automation solutions using Python and database technologies.
• Develop and enhance operational dashboards and reporting tools to improve visibility across manufacturing operations.
• Support the design of scalable software solutions for manufacturing applications.

System Integration & Continuous Improvement

• Work closely with engineering, manufacturing, IT, and cross‑functional teams to implement and support digital transformation initiatives.
• Participate in system integration, process enhancement, and automation projects.
• Ensure proper documentation, reporting, and maintenance of implemented solutions.

DevOps & Application Support

• Support software deployment, version control, and application lifecycle management activities.
• Contribute to continuous improvement of development and deployment processes.
• Assist in maintaining production‑critical applications and automation systems.

Requirements

• Degree in Engineering, Computer Science, Data Science, Information Technology, or a related discipline.
• Strong programming experience in Python.
• Hands‑on experience with SQL and database technologies.
• Good understanding of manufacturing operations, process engineering, automation, or process control concepts.
• Exposure to AI, machine learning, data analytics, or predictive modelling is highly advantageous.
• Familiarity with DevOps practices, CI/CD pipelines, Git, and software deployment methodologies is an advantage.
• Strong analytical and problem‑solving skills with the ability to interpret complex operational data.
• Good communication and stakeholder management skills.
• Able to work independently while collaborating effectively within cross‑functional teams.