Maintenance Engineer (Metal Injection Molding )-$4500

Forte Employment Services; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading employment service provider in Singapore is looking for a Maintenance Engineer specializing in Metal Injection Molding. The role involves performing preventive maintenance, troubleshooting mechanical and electrical faults, and supporting predictive maintenance models. Candidates should have a Degree or Diploma in Mechanical, Electrical, or Mechatronics Engineering and 3–5 years of relevant experience. Familiarity with CMMS and Python scripting is a plus. Interested candidates should send their resume to Linda Lau Ng Eng (R1111325).

Qualifications

• 3–5 years of experience in industrial maintenance.
• Strong troubleshooting capabilities; able to interpret P&ID, electrical schematics, and control logic diagrams.
• Familiarity with predictive maintenance techniques and machine learning concepts is an advantage.

Responsibilities

• Perform preventive and corrective maintenance on key equipment.
• Troubleshoot mechanical and electrical faults to minimize production downtime.
• Support data collection and feature extraction for predictive maintenance models.
• Assist in deploying machine learning algorithms with the data analytics team.
• Integrate sensor and equipment data into the Manufacturing Execution System (MES).
• Maintain accurate maintenance logs and records.

Skills

Troubleshooting

Predictive Maintenance

Python Scripting

Industrial IoT

Education

Degree or Diploma in Mechanical, Electrical, or Mechatronics Engineering

Tools

CMMS

Job description

Maintenance Engineer (Metal Injection Molding )-$4500

This role is critical to maintaining high equipment availability across Metal Injection Molding (MIM) operations.

Experience with CMMS, Python scripting, or Industrial IoT (IIoT) integration.

Key Responsibilities

• Perform preventive and corrective maintenance on key equipment.
• Troubleshoot mechanical and electrical faults to minimize production downtime.
• Support data collection and feature extraction for predictive maintenance models.
• Assist in deploying machine learning algorithms in collaboration with the data analytics team.
• Work closely with IT/Digital/Automation teams to integrate sensor and equipment data into the Manufacturing Execution System (MES) and real-time dashboards.
• Maintain accurate maintenance logs and records and prepare for the Computerized Maintenance Management System (CMMS).
• Ensure all maintenance activities comply with safety and regulatory standards.

Requirements

• Degree or Diploma in Mechanical, Electrical, or Mechatronics Engineering.
• 3–5 years of experience in industrial maintenance.
• Strong troubleshooting capabilities; able to interpret P&IDs, electrical schematics, and control logic diagrams.
• Familiarity with predictive maintenance techniques and basic machine learning concepts is an advantage.
• Bonus: Experience with CMMS, Python scripting, or Industrial IoT (IIoT) integration.

Interested candidate please forward your resume to Linda Lau Ng Eng(R1111325) for further discussion.