Total 437 technical engineer job vacancies in Maintenance / Repair category in Hong Kong

Machinery Service Engineer - Application (Semiconductor Company)

• Office Location: Kaki Bukit, Singapore
• Working Hours: Mon – Fri 8.30am – 5.00pm
• Monthly Salary: Base up to $3500 + Allowance + AWS + Variable Bonus (VB)
• Employment Type: Contract

Company Overview

The company is a well-established global leader providing advanced production systems and technical services in the printed circuit board and semiconductor industry. The company uses cutting-edge Japanese technology and offers strong opportunities for learning and career growth.

Responsibility

• Participate in weekly meetings and presentations to align on project updates and objectives.
• Prepare and generate technical reports to document findings, performance, and improvements.
• Support on‑site installations and troubleshooting, including diagnosis and tool performance enhancement.
• Act as a liaison between customers and business units, ensuring solutions meet technical and operational requirements.
• Execute process optimization, yield enhancement, and productivity improvement projects to drive efficiency.
• Manage new tool acceptance qualifications and recipe editing, with flexibility to perform ad‑hoc shift work when required.

Requirements

• Diploma or equivalent in Electronics/Electrical/Microelectronics Engineering or related fields
• Frequent overseas travel for training and service assignments may be required; candidates with flexibility to travel will be viewed favorably.
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

• Develop, analyze, and approve repair schemes for metallic and/or composite aerospace components.
• Ensure repairs comply with OEM specifications, regulatory requirements, and customer standards.
• In charge of process improvements to improve process robustness, process efficiency and repair yield.

Requirements:

• Degree in Mechanical engineering or equivalent
• At least 3 years of experience in repair engineering in aerospace industry.
• Knowledge of repair processes in aerospace.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

- Hand-on Experience in Automatation & Robot system assembly, alignment & setup.

- Able to interpret engineering drawings in both 2D and 3D.

- Able to work under tight deadlines and self-motivated.

- Basic operation experiene in milling or turning machine.

- Visit customer site for machine installation or support.

- Forlift license is prefered.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated Machine Learning Engineer to join our Model Engineering Team, focused on building, training, and improving computer vision models used in real-world systems. In this role, you will engineer models for improved accuracy, speed, and reliability, and work across experimentation, data, and production-facing ML pipelines.

You will collaborate with experienced engineers to translate research ideas and experiments into practical improvements that impact deployed systems.

You will also work with production-level machine learning systems, contributing to how models are evaluated, deployed, and monitored in real-world environments.

What You’ll Do:

Model Engineering & Training

• Assist in training, fine-tuning, and evaluating computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and video understanding.
• Contribute to model engineering efforts, including modifying architectures, adjusting backbones or heads, and tuning training strategies to improve accuracy, stability, and inference speed.
• Experiment with training techniques such as data augmentation, loss functions, optimisation methods, and learning rate scheduling.
• Explore and evaluate modern vision models, including open-vocabulary or multimodal approaches where relevant.

Research & Experimentation

• Read, discuss, and apply insights from relevant research papers, technical blogs, and internal technical documentation.
• Prototype and evaluate new models, approaches, or techniques, comparing them against established baselines through structured experiments.
• Analyse experimental outcomes and document insights on performance trade-offs, limitations, and failure modes.

Evaluation & Failure Analysis

• Analyse model performance beyond headline metrics, including long-tail behaviour, edge cases, and real-world impact.
• Debug model failures such as false positives, false negatives, or unstable predictions.
• Improve robustness through targeted data improvements, inference logic, or model adjustments.

Data & Experimentation Infrastructure

• Work with large-scale datasets, including preprocessing, augmentation, validation, and quality checks.
• Follow established workflows for dataset versioning, experiment tracking, and reproducibility.
• Write clean, maintainable experiment code and configuration-driven training setups.

Production & MLOps Exposure

• Assist with model deployment and monitoring under the guidance of senior engineers.
• Work with training, evaluation, and inference pipelines used in production.
• Apply model lifecycle practices such as versioning, retraining, validation, and rollback.
• Consider performance and efficiency constraints, including latency, GPU memory usage, and inference cost.

Minimum Requirements

• At least a degree in Computer Science, AI, Machine Learning, or a related technical field, or equivalent practical experience.
• 1 – 2+ years of relevant hands-on experience with deep learning and computer vision through professional work, research, or substantial projects.
• Proficiency in Python.
• Experience with PyTorch and/or TensorFlow.
• Familiarity with Linux environments (CLI usage, basic shell commands).

Bonus Skills

• Exposure to multimodal or open-vocabulary models.
• Experience modifying models beyond configuration-level changes (e.g. layers, heads, loss functions).
• Familiarity with experiment tracking or MLOps tools (e.g. Git, Docker, MLflow, Weights & Biases).
• Experience with model optimisation or export (e.g. ONNX, TensorRT, quantization).
• Experience working with video data or tools such as OpenCV or FFmpeg.

Personal Competencies

• Strong interest in engineering and improving machine learning models, rather than treating them as black boxes.
• Curiosity about how architecture, data, and training strategies affect real-world performance.
• Comfortable experimenting, debugging, and iterating in a collaborative engineering environment.
• Ability to take ownership of model components appropriate to experience level and project needs.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

Benefits:

• Basic salary up to $2900
• Better Career Growth (MNC)
• Training provided
• Positions available for both hands on role and office work

Job Scopes:

• Assist in the maintenance, repair, and inspection of systems and components
• Perform troubleshooting, testing, and servicing of mechanical, electrical, and structural parts
• Support drafting, estimation, and documentation for project planning and execution
• Analyze technical specifications and assist in preparing reports and cost estimates
• Ensure compliance with safety standards and engineering guidelines
• Collaborate with teams to optimize system performance and operational efficiency
• Handle additional hands-on and office-based tasks as required

Job Requirements:
• Possess a Nitec, Higher Nitec, or Diploma in electrical or mechanical engineering related field.
• Candidates with no experience are welcome to apply, training will be provided.

To Apply, kindly click on the "APPLY NOW" button and job details.
We regret that only shortlisted candidates will be notified.

StaffKing Pte Ltd (20C0358) | Jasmine Wong (R22107578)

Prescient Systems & Technologies Pte Ltd is a leading provider of advanced training simulator systems, committed to delivering high-quality, reliable, and innovative solutions to our clients.

We are seeking a dedicated and experienced Maintenance Engineers to join our team and ensure the optimal performance and longevity of the training simulator systems we maintain.


Job Summary:

The Maintenance Engineers will assist in the maintenance and repair of training simulator systems with a view to maintaining their operational availability. Maintenance Engineers will report to the Maintenance Manager and will assist in troubleshooting and resolving technical and administrative issues in accordance with safety and quality standards.


Key Responsibilities:

Maintenance Engineer: Carryout maintenance and administrative tasks under the guidance of the Maintenance Manager. Tasks would include the following:

Troubleshooting:
Assist in the diagnosis and resolution of technical issues with simulator systems, including hardware and software components.

Quality Assurance:
Ensure all maintenance activities comply with industry standards, safety regulations, and company policies.

Inventory Management:
Monitor and manage inventory of spare parts and maintenance supplies to ensure availability and cost-effectiveness.

Data Collection and Documentation:
Maintain accurate records of maintenance activities, repairs, and system performance.

Vendor Coordination:
Collaborate with external vendors and service providers for specialized maintenance and repair services.

Continuous Improvement:
Identify opportunities for process improvements and implement best practices to enhance system reliability and efficiency..


Qualifications:

• Diploma in Engineering, Computer Science, or a related field.
• Experience in a technical maintenance role would be advantageous. Fresh graduates are welcome to apply.
• Training will be provided.
• Ability to work effectively under pressure and manage multiple priorities.
• Singapore Citizen (Mandatory Requirement)

Benefits:

• Competitive salary and benefits package.
• Opportunities for professional development and career advancement.
• Collaborative and innovative work environment.
• Health and wellness programs.

Interested candidates, please send us a detailed resume with your expected salary and availability.

Only short-listed candidates will be notified.

Senior Machinery Service Engineer - Application (Semiconductor Company)

• Office Location: Kaki Bukit, Singapore
• Working Hours: Mon – Fri 8.30am – 5.00pm
• Monthly Salary: Base up to $5000 + Allowance + AWS + Variable Bonus (VB)
• Employment Type: Contract

Company Overview

The company is a well-established global leader providing advanced production systems and technical services in the printed circuit board and semiconductor industry. The company uses cutting-edge Japanese technology and offers strong opportunities for learning and career growth.

Responsibility

• Participate in weekly meetings and presentations to align on project updates and objectives.

• Prepare and generate technical reports to document findings, performance, and improvements.

• Support on‑site installations and troubleshooting, including diagnosis and tool performance enhancement.

• Act as a liaison between customers and business units, ensuring solutions meet technical and operational requirements.

• Execute process optimization, yield enhancement, and productivity improvement projects to drive efficiency.

• Manage new tool acceptance qualifications and recipe editing, with flexibility to perform ad‑hoc shift work when required.

Requirements

• Diploma or equivalent in Electronics/Electrical/Microelectronics Engineering or related fields
• Frequent overseas travel for training and service assignments may be required; candidates with flexibility to travel will be viewed favorably.
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

Our client is from Oil and Gas industry, a local leading player. They are looking for a Senior Engineer, Instrumentation & Control for the next phase of their business. They are located in West.

Duties:

• Provide technical support for Production and Maintenance teams on instrument-related issues.
• Work with teams to reduce instrument maintenance costs and improve functionality.
• Coordinate with external stakeholders on gas pipeline networks, electrical grids, instruments, and metering interfaces.
• Update maintenance procedures for instruments, PLC, Fire & Gas systems, ESD, metering, CCTV, and security equipment.
• Conduct root cause analysis for instrument incidents and recommend preventive actions.
• Implement MOC projects to enhance instrument reliability and operational efficiency.
• Ensure verification, inspection, testing, and certification of electrical and instrument equipment in hazardous areas.
• Support maintenance and major equipment turnarounds.
• Manage the functional safety lifecycle of SIS in the terminal.
• Assist in expansion projects, ensuring facility integrity and seamless integration.
• Participate in emergency response with designated roles and responsibilities.

Requirements

• Min Bachelor’s Degree in Engineering related field.
• Min 5 years’ experience in Oil & Gas or Petrochemical industry
• Experience in instrument & control maintenance

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

• Attend vessels for surveys, inspections, installation support, commissioning and troubleshooting of electrical, automation, instrumentation systems, shipboard control, monitoring and alarm systems, including PLC‑based systems.
• Coordinate effectively with other disciplines (mechanical, piping, shipyard teams) with interface awareness.

• Support project execution through proper documentation, reporting and communication with managers, superintendents and vessel crew.

• Support class and survey activities with societies such as DNV, ABS, LR, CCS, BV or Class NK.
• Familiarity with marine electrical standards and technical codes applicable to electrification, battery systems and shore power integration.
• Demonstrates strong safety leadership, especially when working with live electrical systems, batteries, HV equipment and confined shipboard environments.
• Willing and able to travel overseas for vessel attendance, commissioning and surveys.

Job Responsibilities:

• Project & Service Co-ordination with suppliers / preparation of risk assessment
• Handle installation & commissioning of HVAC & Power System
• To perform schedule preventive & corrective maintenance of the system
• To carry out troubleshooting and repair works if necessaryting and repair works if necessary.

Job Requirements:

• NITEC/ Higher NITEC/ Diploma/ Degree in Electronic & Electrical Engineering or equivalent.
• 1 - 2 years of relevant working experience.
• Fresh graduates are welcome. Necessary training will be provided to successful candidates.
• Candidate with good experience will be considered for senior post
• Possess Good Interpersonal & Communication Skills
• Able to work independently, self-motivated and a team player
• Class 3 Driving License preferred

Other Info

• Industry/ Organization Type: Datacenter / Critical Infrastructure & Industrial Segment
• Working Location: Aljunied
• Working Hours: Monday - Friday (9:00 AM - 6:00 PM)
• Salary: Basic + Allowance
• Duration: Permanent Role

Main Duties and Responsibilities

a. Building System Maintenance

• Plan, execute, and oversee preventive maintenance of building facilities systems.
• Systems include: Electrical System, HVAC System, MV System, Compressed Air System, P&S System etc.
• Ensure compliance with safety standards and operational reliability.

b. Predictive Maintenance

• Implement predictive maintenance strategies leveraging IoT sensor solutions and AI-driven applications.
• Drive KPIs for energy savings, power interruption, and faster breakdown recovery.
• Continuously improve maintenance efficiency through data-driven insights.
• To support and develop AI-Driven Maintenance Work Process (MWP)

c. Utilities System Management

• Manage and maintain utilities supply systems including HT/LT, Digital Metering, Energy Monitoring Systems, Water Supply, and Gas Supply.
• Monitor performance and ensure uninterrupted supply of critical utilities.

d. Vendor Submission and Management

• Lead and manage plant facilities repair and improvement projects.
• Collaborate with cross-functional teams to review vendor design submissions and ensure timely approvals.
• Responsible for mandatory checks and approval process for external vendor electrical design submissions
• Manage vendor’s work quality and safety compliances
• Deliver projects within scope, budget, and timeline.

e. Integrated Facilities Management (IFM)

• Develop and implement an Integrated Facility Management model to coordinate M&E maintenance and engineering works.
• Responsible for cost saving and better streamline of repair works through IFM management.
• Enhance collaboration across different discipline for seamless facility maintenance.

4.  Qualification/Experiences

• Bachelor's degree in FM/Engineering or relevant discipline.
• 5–8 years of relevant experience in facilities maintenance and management.
• Strong expertise in Electrical & Mechanical Systems maintenance.
• High level of computer proficiency; tech-savvy with an AI-driven mindset.
• Excellent problem-solving, project management, and vendor coordination skills.
• Strong communication and leadership abilities.
• Innovative thinker with a passion for leveraging technology in facilities management.
• Results-oriented with a focus on energy efficiency and sustainability.
• Ability to work independently while collaborating effectively with cross-functional teams.
• Work Experience in Manufacturing Industry environment is preferred. 

We are seeking a mission-oriented and proactive Maintenance, Repair and Overhaul Engineer to be a member of our Maintenance, Repairs, Overhauls (MRO) – Engineering team to ensure the smooth functioning of our engineering, quality and reliability processes supporting Ground Support Equipment (GSE) maintenance operations at our customer’s premises, SATS Pte Ltd. You will play a key role in maintaining operational reliability, troubleshooting issues, engaging the customer in technical/engineering issues, and implementing process improvements to enhance efficiency and performance.

You will report to the Operations Manager onsite at SATS Maintenance Centre (SMC) at 34 Changi North Crescent S(499614) based on a 5-day work shift (Monday to Friday), and professionally report to Head MRO-Engineering Department at the company HQ (for support of hydraulic, mechanical and electrical technical matters), with the following responsibilities:

- Troubleshoot, analyse, and resolve technical issues utilizing practical fault tree analysis methodologies to minimize GSE downtime.

- Conduct failure mode analysis and recommend enhance maintenance scheme to improve GSE reliability.

- Communicate with the customers on troubleshooting, failure mode and corrective/preventive actions on technical defects.

- Prepare technical report and presentation deck for submission and presenting to the customer when required.

- Develop, review, and update technical documentation including maintenance manuals, repair procedures, and engineering change requests.

- Perform spare parts obsolescence management which include identifying obsolete spare parts and mitigating risk through monitoring, alternative parts identification and build safety stocks.

- Collaborate closely with operations, quality assurance, and supply chain teams to optimize maintenance schedule planning.

- Respond to urgent technical issues, emergencies during off-office hours and weekends when necessary.

- Ensure compliance with safety, security, and regulatory standards.

Job Requirements:

- Bachelor’s degree in mechanical, electrical, mechatronics, automotive, or related engineering with at least 2 years of working experience OR Diploma in mechanical, electrical, mechatronics, automotive, or related engineering with at least 6 years working experience in automotive, GSE or related field.

- Proven experience in maintenance operations, engineering, or related roles.

- Strong problem-solving, troubleshooting, and analytical skills.

- Excellent communication (written and verbal) and teamwork abilities.

- Excellent collaborative and innovative team culture.

- Conversant in Microsoft office skills: Words, Excel, and Power Point.

- Able to read and understand schematics diagrams (mechanical and hydraulic, electrical is a plus).

- Familiarity with CAD software tools, SolidWorks and hydraulic system software simulation tools is a plus.

Job Description

• Industry/ Organization Type: Manufacturing/ Chemical
• Position Title: Maintenance Engineer
• Working Location: Tuas (Walk distance from MRT)
• Working Hours: 5 Days, Monday – Friday (8.30am – 5.30pm)
• Salary Package: Basic Salary + Transport & Mobile Allowance + AWS + VB
• Duration: Permanent

Key Responsibilities

• Support the planning and coordination of preventive maintenance activities, including IMTE / calibration for plant equipment.
• Assist in organizing and coordinating scheduled and ad-hoc maintenance for building systems and utility facilities.
• Carry out hands-on maintenance tasks and simple electrical work where required.
• Participate in feasibility studies and planning for the installation of new equipment and facility upgrades.
• Coordinate with and supervise external contractors for maintenance and repair works.
• Prepare and compile approval documentation, equipment training materials, and installation submissions for relevant government authorities and internal processes.
• Support spare parts inventory management, including obtaining quotations, negotiating pricing, and processing purchase orders.
• Assist the Technical Department in carrying out the company’s EHS initiatives and activities.

APPLY NOW!!!

• Diploma/ Degree in Electrical & Instrumentation, Mechanical, or Chemical Engineering.
• At least 3 years of related working experience, preferably within a chemical manufacturing environment.
• With understanding of electrical systems and/ or instrumentation. (LEW certification will be an added advantage)
• Basic to working knowledge of PLC, SCADA & HMI systems, including ability to perform basic troubleshooting and fault diagnosis.
• Familiar with Risk Assessment and Failure Mode and Effects Analysis (FMEA).
• With understanding of EHS practices, including ISO 14001, ISO 45001, and ISO 9001 standards.
• Proficient in Microsoft Word, Excel, PowerPoint.
• AutoCAD software knowledge is an added advantage.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #76283 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Summary

Responsible for the administration, maintenance, and continuous improvement of the IBM Maximo system. This role ensures the accuracy, integrity, and accessibility of master data required for work order management and routine operations. The incumbent will collaborate with cross-functional teams to manage Maximo-related activities, maintain compliance with company and regulatory requirements, and support system enhancements and audit readiness.

Key Responsibilities

• Create, update, and maintain asset records (e.g., equipment, instruments, and facilities) throughout the asset lifecycle, from commissioning and maintenance to decommissioning and retirement.

• Ensure the accuracy and completeness of master data, including preventive maintenance frequencies, schedules, job plans, and work instructions within the Maximo system.

• Perform accurate and timely data entry to support new asset creation, maintenance activities, and ongoing operational requirements.

• Maintain data integrity and ensure all activities are performed in accordance with approved procedures, workflows, and compliance requirements.

• Provide user support and guidance on Maximo processes, workflows, and best practices.

• Participate in system upgrades, enhancements, and validation activities as a user acceptance tester (UAT).

• Develop, update, and maintain user guides, standard operating procedures (SOPs), and training materials in collaboration with Maximo administrators across other sites.

• Foster effective communication and collaboration with internal stakeholders to ensure smooth system operation and data consistency.

• Ensure compliance with applicable industry standards, company policies, quality requirements, and regulatory guidelines.

• Support internal and external audits by preparing and providing required documentation, records, and system information.

• Perform additional Maximo-related duties and projects as assigned by the Compliance and Qualification Lead.

Requirements

• Strong knowledge of IBM Maximo administration and asset management processes
• High attention to detail with a focus on data accuracy and integrity.
• Good understanding of preventive maintenance programs and asset lifecycle management.
• Strong communication and stakeholder management skills.
• Ability to work effectively across multiple departments and functional teams.
• Knowledge of GMP, quality systems, and compliance requirements is an advantage.

GMP Technologies (S) Pte Ltd | EA License 11C3793 | EA Personnel: Novita Widjaja |Registration No: R22105960

Job Title: Technician / Assistant Engineer / Engineering Assistant (ID1579)
Location: Pioneer, transport pick up Island wide in Singapore
Working Hours: 4334 days 12 hours shift (Day & Night)
Salary: $2300 - $3000
Benefit: AWS, Variable Bonus

Job Description
• To specialise in processes and to perform higher level of troubleshooting and failure analysis
• Guide the technicians and operators to achieve required output and quality
• To check on the supplementary materials change to ensure they are properly done
• To assist Line Engineer to check all the control chart and checklist
• To ensure smooth production operation with production report
• To monitor, troubleshoot and improve the production daily final test yield
• To perform maintenance and troubleshooting of machinery
• Any other jobs as assigned by Manpower supervisor