Maintenance Engineer, Singapore
Singapore | Smart Maintenance, Industrial IoT, Advanced Manufacturing
Salary up SGD 4,000/month

Support next-generation manufacturing by leading predictive maintenance initiatives powered by sensor technology and machine learning—while ensuring high equipment uptime and reliability in a fast-paced production environment.

About the Company

The company is a leading contract manufacturer specializing in high-precision components for the medical device industry. With proven expertise in advanced manufacturing technologies and adherence to global quality and regulatory standards, they turn innovative concepts into high-performance, market-ready products. From design to delivery, they help international clients bring life-changing healthcare solutions to the world.

About the Role

An advanced manufacturing team in Singapore is looking for a Maintenance Engineer to take ownership of equipment performance and reliability across their Metal Injection Molding (MIM) production line. This role will oversee preventive and corrective maintenance, while also playing a key role in developing predictive maintenance strategies using sensor data, Industrial IoT, and machine learning.

Ideal for someone with strong troubleshooting experience who’s ready to take on digital transformation projects in maintenance, this role offers exposure to both operational and smart factory initiatives.

What’s in it for you

• Take ownership of mechanical and electrical maintenance in a high-tech manufacturing setup
• Contribute to predictive maintenance development using real-time sensor data and analytics
• Work in cross-functional teams alongside automation, digital, and analytics experts
• Drive continuous improvement while ensuring regulatory and safety compliance
• Be part of a forward-looking team adopting smart factory solutions and Industry 4.0 practices
• Gain exposure to medical-grade manufacturing technologies and standards

 

What you’ll be doing

• Perform preventive and corrective maintenance on key production equipment
• Troubleshoot electrical and mechanical issues to minimize unplanned downtime
• Implement sensor-based condition monitoring (e.g., vibration, temperature, pressure)
• Support data collection and feature extraction for predictive maintenance modeling
• Assist in deploying machine learning algorithms in collaboration with the analytics team
• Work closely with IT, Digital, and Automation teams to integrate data into the MES and real-time dashboards
• Maintain accurate logs and prepare for CMMS implementation
• Ensure all activities adhere to workplace safety and regulatory compliance standards

 

What we’re looking for

• Degree or Diploma in Mechanical, Electrical, or Mechatronics Engineering
• 3–5 years of experience in industrial equipment maintenance
• Strong troubleshooting skills and ability to read P&IDs, electrical schematics, and control logic diagrams
• Familiarity with predictive maintenance techniques and a basic understanding of machine learning concepts
• Preferred but not required:
• Experience using a CMMS
• Basic Python scripting
• Exposure to IIoT system integration

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