Recruit Express Pte Ltd · MyCareersFuture · 1w
1 Year Manufacturing Engineering Specialist #HYN
Singapore, Central- Posted
- 2026-10-01 (1w)
- Place
- Singapore, Central
- Commitment
- Contract
- Salary
- SGD 5,500 – 6,500 / month
- Experience
- 3+ YOE
- Education
- Bachelor's
- Department
- Engineering
- Source
- MyCareersFuture (the employer’s own listing)
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Skills in this posting
PythonC#Technical DocumentationExpressArtificial IntelligenceLarge Language ModelsData AnalyticsPower BITroubleshootingTechnical SupportMicrosoft officeComputer-Aided Design
📍 Changi, Singapore | Onsite
📅 12-Month Renewable Contract
💰 Up to $6,200/month
🏭 Medical Device Manufacturing Environment
👥 2 Rounds of In-Person Interview
Join a fast-paced medical device manufacturing environment as a Manufacturing Engineer, supporting process improvement, equipment development, validation and automation initiatives. This role is ideal for engineers with experience in manufacturing engineering, automation, programming or Industry 4.0 projects.
Job Description
• Design and develop equipment, tools, fixtures and other solutions to improve manufacturing processes.
• Develop and execute experiments and testing protocols to qualify and validate manufacturing processes.
• Analyse test results, make recommendations and prepare technical reports.
• Support manufacturing process improvement and optimisation initiatives.
• Develop work instructions, training materials and technical documentation for production teams.
• Provide technical support relating to software coding and development for manufacturing applications.
• Support validation activities by gathering, analysing and documenting relevant data.
• Assist in the implementation of automation and advanced manufacturing technology projects.
• Work closely with cross-functional teams to identify and resolve manufacturing risks, issues and process concerns.
• Support troubleshooting of automated equipment and manufacturing systems.
• Contribute to Industry 4.0/5.0 initiatives, including robotics, automation and AI-enabled manufacturing solutions.
• Manage multiple projects and collaborate with internal stakeholders, vendors and project partners to achieve project objectives.
Who Should Apply
• Engineers with hands-on experience in manufacturing engineering, automation, robotics or process improvement .
• Candidates with programming/data analytics experience, particularly Python, Power BI or C# , who are interested in applying technology to manufacturing.
• Engineers who have worked on Industry 4.0/5.0, automation, robotics or AI-related industrial projects .
Requirements
• Bachelor's Degree in Engineering, Science or a related technical discipline.
• At least 3 years of relevant engineering experience , preferably within a manufacturing or industrial environment.
• Strong proficiency in Python and Power BI ; knowledge of other programming languages is advantageous.
• Knowledge of C# is an added advantage.
• Experience with automated equipment troubleshooting and manufacturing systems.
• Experience in robotics programming, AI-assisted programming or other Industry 4.0/5.0 initiatives will be advantageous.
• Exposure to robotics foundation models, Vision Language Models (VLM), Vision Language Action (VLA) models or Large Language Models (LLMs) applied to industrial environments is a plus.
• Experience with CAD, MS Project and Microsoft Office applications is advantageous.
• Knowledge of Good Manufacturing Practices (GMP) and Good Documentation Practices (GDP) is preferred.
• Experience working with laboratory or industrial equipment is advantageous.
• Basic understanding of statistical techniques and engineering principles.
• Strong analytical, problem-solving and critical-thinking skills.
• Good written and verbal communication skills, with the ability to work effectively with cross-functional teams.
• Able to manage multiple priorities in a fast-paced manufacturing environment.
• Experience working with vendors and project stakeholders is advantageous.
• Knowledge of FDA or other applicable regulatory requirements for medical device manufacturing is preferred.
Interested applicants, please email your detailed CV to:
ashley.loo@recruitexpress.com.sg
All information will be treated with confidentiality and we regret that only selected candidates will be notified
Consultant: Ashley Loo
Designation: Senior Recruiter
CEI Reg No: R2095115
Recruit Express Pte Ltd Company Reg. No. 199601303W | EA License Number: 99C4599
Recruit Express Pte Ltd
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