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Open nowPosted yesterday

1 Year Manufacturing Engineering Specialist #HYN

MyCareersFuture94,028 open roles

Pay
SGD 5,500 – SGD 6,500 a month
Where
Central, Singapore
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Your applicationOpen now1 Year Manufacturing Engineering Specialist #HYNMyCareersFuture · Central, Singapore

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This job: posted yesterday

The posting

📍 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: [email protected] 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

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