Total 1,457 product engineer job vacancies in Maintenance / Repair category in Singapore

Location: Tuas ($110/ month for transport allowance)

Mon - Fri 830am-530pm

1 year contract / Permanant

Job Description:

• Plan and execute corrective and preventive maintenance on facility and production equipment.
• Implement TPM programs, including autonomous maintenance and spare parts management.
• Coordinate with external vendors for service contracts and maintenance.
• Support EHS and audit activities.

Key Responsibilities:

1. Perform maintenance and document equipment and facility activities.
2. Manage spare parts inventory, support continuous improvement, and conduct ISO audits.
3. Ensure EHS compliance and participate in inspections.
4. Troubleshoot equipment issues and find quick solutions.
5. Coordinate with contractors for maintenance and ensure quality work.
6. Conduct site inspections and manage corrective actions.
7. Troubleshoot with electrical diagrams and mechanical drawings (3+ years experience).
8. Evaluate contractors and negotiate quotations.

Interested applicants may email resume to [email protected]

Jessie Hoe Huey Miin (CEI Registration No: R1103861)

Recruit Express Pte Ltd (EA: 99C4599)

Overview:
We are seeking a skilled Computer Vision / Machine Learning Engineer to join our team in video analytics. The ideal candidate will have expertise in computer vision, machine learning, and robotics, with experience in 3D vision, multi-sensor integration (e.g., LiDAR, radar), deep learning optimization, and real-time deployment.

Key Responsibilities:

• Design and implement advanced computer vision algorithms for video analytics.
• Develop and optimize ML models for real-time object detection, classification, and tracking.
• Preprocess, augment, and calibrate multi-sensor data (e.g., video, LiDAR, radar) to enhance model performance.
• Apply MLOps practices like active learning to improve model accuracy and efficiency.
• Collaborate with cross-functional teams to meet project requirements.
• Document processes, experiments, and results for knowledge sharing and external presentations.
• Conduct experiments to validate new techniques and present findings.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience in computer vision, machine learning, and multi-sensor calibration, ideally in robotics with a focus on 3D vision.
• Proficiency in Python or C++, with experience in OpenCV, TensorFlow, or PyTorch.
• Knowledge of deep learning optimization and deployment tools (CUDA, TensorRT, DeepStream, Triton).
• Strong problem-solving skills and attention to detail.

Job Description:

• Identify and troubleshoot issues in circuit boards using testing tools like oscilloscopes and multimeters.
• Perform visual inspections and utilize specialized tools to find defects or faults on the board.
• Solder and desolder components to replace damaged or malfunctioning parts.
• Use rework stations and hot air tools for efficient component removal and replacement.
• Conduct functionality tests on repaired boards to confirm they meet required standards.
• Keep comprehensive records of repair work, including fault details and resolution steps.
• Capable of adjusting PCB design to address component obsolescence.
• Keep current with new repair methods and tools.
• Engage in training sessions and workshops to advance technical skills.
• Parts teardown, re-assembly, re-certification and qualification
• Troubleshoot PCB Electronics

Requirements:

• Miniumum Diploma / Degree in Electronic/Electrical Engineering
• At least 4 years of experience in troubleshooting of PCB Re / Semiconductor Components.
• PCB repair and maintenance in a huge advantage.
• Strong diagnostic and troubleshooting skills.
• Excellent communication and customer service skills.
• Ability to work independently and in a team environment.
• Familiarity with industry standards and best practices for PCB maintenance.

Job Descriptions

1. Plan, execute and supervise all M&E related facilities maintenance work service. Lead a team of technical officers and technicians for the facilities management activities. Advise and lead the technical (M&E) investigations for rectification works with the manager.
2. Investigate, analyse and determine root cause and report any M&E breakdown and fault effectively.
3. Together with Manager to manage M&E works and services for effective and efficient M&E facilities performance.
4. Coordinate and supervise the M&E installation and maintenance work. Planning and scheduling of preventive maintenance and corrective maintenance works.
5. Carrying out regular inspection and provide recommendation for improvement or rectification work if needed. Conducting regular inspection to ensure all maintenance programme are implemented effectively in strict compliance with instructions and guidelines.
6. Perform troubleshooting and analyse faults and provide recommendation for sustainable and cost- effective solutions.
7. Operate and control automated M&E systems, conduct testing & commissioning.
8. Working closely with the client, sub-contractors, and the project team to resolve any technical issues. Attend M&E related meetings and involve in the preparation of related reports.
9. Monitor work progress, drawings and other relevant documents related to M&E works. Involve in quotation and fault reports.
10. Assist in planning, controlling, and coordinating of mechanical, electrical, and building works. Schedule, monitor and supervise the progress of works. Prepare and following up closely on the enquiries and quotations.
11. Build and maintain good client relationships and uphold high quality standards.

Requirements

1. Minimum Diploma or Degree in Mechanical/ Electrical Engineering or its equivalent.
2. M&E Facilities Management or related M&E fields or FM operations background with at least 3 years of Singapore relevant experience will be an added advantage.

5.5 Days Work Week

Good Bonus and Yearly Increment!!

**Do include your notice period, current and expected salary in the resume.

Candidates looking for Electrical Engineer position or currently working as M&E / Electrical Engineer (For Facilities Maintenance / Management industry) are welcome to apply.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the team

Our team works on large-scale recommendation systems for various offerings under TikTok and its affiliates, focusing on developing recommendation algorithms/models/strategies. We are committed to developing cutting-edge solutions for e-commerce recommendation systems.

Responsibilities

- Work on recommendation systems, involving contents of various forms ranging from products, short videos to live streams, with each unified recommendation model fulfilling heterogeneous E-commerce scenarios/goals across multiple countries.

- Optimize e-commerce recommendation models at massive scales, using deep learning/transfer learning/multi-task learning techniques.

- Data mining and analysis to improve the quality of recommended contents.

- Conduct research on various topics, which aim to optimize content recommendation circulation, ranging from ensuring diversity and new discovery in recommendation contents, to cold-start problem for new users/items and discovery of high-quality products/live streamers.

- Develop innovative and state-of-the-art e-commerce models and algorithms

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.

- Work with the relevant software platforms in which the models are deployed

Qualifications

Minimum Requirements

- Bachelor's degree or higher in Computer Science or related fields with at least 5 years of relevant hands-on experience and 2+ years of team management experience.

- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills

- Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.

- Experience in working with main components of recommendation systems(recall, sort, reranking, cold-start problem), with good understanding of mainstream recommendation models used in the industry

- Experience in C++ and Python; at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch)

- Leading a team of at least 5 Possess strong communication skills, positive mindset, good teamwork skills, and eagerness to learn/implement new technology and experiment

Preferred Qualifications

- Experience in personalized recommendation, online advertising, information retrieval or related fields.

- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI、RecSys and related conferences

- Excellent performance in data mining, machine learning, or ACM-ICPC/NOI/IOI competitions

- Developed widely-recognized machine learning project(s) on github or personal webpage

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The TikTok E-commerce Recommendation and Marketing Algorithm team is responsible for algorithm and big data work on e-commerce innovation projects. Leveraging on our products, the team helps users discover and acquire great products, enriching their lives. In this team, we not only use recommendation and search algorithms to help users find items they are interested in but also employ risk control algorithms and intelligent platform governance algorithms to detect violations, ensuring a secure shopping experience. We build intelligent customer service technologies and large-scale product knowledge graphs to improve the efficiency of various transaction processes. Furthermore, we develop logistics and operations research algorithms to enhance supply chain efficiency, and we apply artificial intelligence to help merchants improve their operational capabilities. Our mission: To make high-quality products easily accessible, enabling everyone to enjoy a better life.

Responsibilities

- Participate in optimizing TikTok e-commerce growth and marketing algorithms, including core capabilities such as user value modelling, personalized messaging, recommendations, and intelligent marketing.

- Establish a user lifecycle data and value system to address core pain points and business challenges related to TikTok Mall user growth.

- Contribute to the implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails, recommendation handling, etc., to increase e-commerce DAU and penetration rates.

- Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations.

- Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive e-commerce GMV growth.

Qualifications

Minimum Qualifications

- Bachelor's degree or higher in Computer Science, Computer Engineering, Mathematics or related technical discipline

- Experience in C++ and Python; at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch)

- Strong foundation in algorithms and data structures, with excellent coding skills.

- Strong learning ability, curiosity, and good communication and teamwork skills.

Preferred Qualifications

- Candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/Machine Learning competitions

- Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization is a plus.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

The Job:

• Plan and execute corrective/preventive maintenance on facility equipment and plant equipment to ensure good efficiency and availability
• Generate equipment and facilities related records/reports/ documentations on above activities
• Responsible for tracking machinery spare parts usage, maintaining adequate quantity, critical parts requirement, spare parts management, continuous improvement, and ISO audits
• Support EHSS related topics, ensure site is in full compliance with Environment, Health and Safety (EHS) and Security regulation and policy
• Resolve various equipment performance issues internally before approaching equipment vendor
• Review equipment log and technician feedback for quick solutions

The Requirements:

• Min Degree with min 3-5 Years of relevant working experience
• Degree/Diploma in Mechanical Engineering or equivalent
• Minimum 5 years of relevant working experiences
• Experience in chemical and mechanical process

Interested applicants may email resume to [email protected]

Jessie Hoe Huey Miin (CEI Registration No: R1103861)

Recruit Express Pte Ltd (EA: 99C4599)

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok.

- Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.

- Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.

- Design and build supporting/debugging tools as needed.

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

Minimum Qualifications

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline

- Strong programming and problem-solving ability.

- Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.

- Experience in Deep Learning Tools such as tensorflow/pytorch.

- Experience with at least one programming language like C++/Python or equivalent.

Preferred Qualifications

- Experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.

- Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected].

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The TikTok E-commerce Recommendation and Marketing Algorithm team is responsible for algorithm and big data work on e-commerce innovation projects. Leveraging on our products, the team helps users discover and acquire great products, enriching their lives. In this team, we not only use recommendation and search algorithms to help users find items they are interested in but also employ risk control algorithms and intelligent platform governance algorithms to detect violations, ensuring a secure shopping experience. We build intelligent customer service technologies and large-scale product knowledge graphs to improve the efficiency of various transaction processes. Furthermore, we develop logistics and operations research algorithms to enhance supply chain efficiency, and we apply artificial intelligence to help merchants improve their operational capabilities. Our mission: To make high-quality products easily accessible, enabling everyone to enjoy a better life.

Responsibilities

- Participate in optimizing TikTok e-commerce growth and marketing algorithms, including core capabilities such as user value modelling, personalized messaging, recommendations, and intelligent marketing.

- Establish a user lifecycle data and value system to address core pain points and business challenges related to TikTok Mall user growth.

- Contribute to the implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails, recommendation handling, etc., to increase e-commerce DAU and penetration rates.

- Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations.

- Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive e-commerce GMV growth.

Qualifications

Minimum Qualifications

- Bachelor's degree or higher in Computer Science, Computer Engineering, Mathematics or related technical discipline.

- Experience in C++ and Python; at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).

- Strong foundation in algorithms and data structures, with excellent coding skills.

- Strong learning ability, curiosity, and good communication and teamwork skills.

- At least 3 years of relevant experience in user growth or intelligent marketing.

Preferred Qualifications

- Candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/Machine Learning competitions

- Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization is a plus.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job Scope:

• Assist in planning and updating maintenance schedules, permit clearances, and site scheduling.
• Liaise with clients and vendors regarding contract costs and material expenses.
• Use ERP software to manage materials and tools for maintenance operations.
• Attend meetings with clients and vendors as needed.
• Ensure timely adherence to maintenance schedules.
• Prepare and follow up on quotations.
• Support site visits with supervisors and workers when required.

Requirements:

• Diploma in any engineering or other disciplines
• Relevant experience will be added advantage

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Lee Cheng Yin (Gina) (R22104523)

EA License No: 20C0358

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: [email protected]

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

Location : Tuas (Chemical Production Environment)

Working hours : Monday to Friday

Roles & Responsibilities

• To plan and execute corrective/preventive maintenance on facility equipment and production equipment to ensure good efficiency and availability.
• Implement TPM program in HPSL such as autonomous maintenance and critical spare part management.
• Engage external equipment vendor for service contract and ad hoc diagnostic or corrective maintenance activities.
• Support safety and EHS related activities and audits.

Description of Responsibilities and Duties

• Plan and execute corrective/preventive maintenance on facility equipment and plant equipment to ensure good efficiency and availability. Generate equipment and facilities related records/reports/ documentations on above activities.
• Implement TPM strategy. Responsible for tracking machinery spare parts usage, maintaining adequate quantity, critical parts requirement, spare parts management, continuous improvement, and ISO audits.
• Support EHSS related topics, ensure site is in full compliance with Environment, Health and Safety (EHS) and Security regulation and policy.
• Resolve various equipment performance issues internally before approaching equipment vendor. Review equipment log and technician feedback for quick solutions.
• Liaise and co-ordinate jobs to be performed by contractors for facilities and plant equipment. Ensure work completion and achieve high standard of work.
• Perform site EHSS inspection/audits and ensure that all corrective/ preventive actions are close in timely manner. Responsible for internal/external audits and EHSS activities.
• Interpret electrical diagrams and mechanical drawings for equipment troubleshooting with at least 3 years hand-on experience
• Evaluate existing/new contractors’ performance and negotiate with them on quotations and service level.

Requirements:

• Hands on experience in mixer and milling equipment maintenance is an advantage.
• Knowledge in TMP, Equipment FMEA is an advantage.
• Knowledge in facilities maintenance (Electrical, water, AC) is an advantage.
• EHS competence, familiar with ISO45001 & ISO14000 is a plus.
• Able to read electrical, hydraulic, pneumatic and mechanical diagrams and carried out maintenance work accordingly.
• Lead and guide technicians on above work.
• Operational hands-on experience
• Work under pressure and multi-tasking.
• A good team player and have good interpersonal skills
• Safety conscious

Education:

• Degree/Diploma in Mechanical Engineering or equivalent
• Minimum 5 years of relevant working experiences
• Experience in chemical and mechanical process

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format to [email protected]or please click on “Apply Now” and provide the below details in your resume.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd
EA License No: 19C9950
EA Personnel: Lee Jia Chian (Jayleen)
EA Personnel Reg No: R24124361

Job Description:

• Manage projects and renovations for hospitals, medical centers, and related units.
• Track and support preventive maintenance, service contracts, and car park operations.
• Assist with assigned projects, ensuring they meet deadlines and budgets.
• Solve problems independently and work well with various departments.
• Oversee contractor and vendor schedules to minimize disruption.
• Coordinate with colleagues and contractors to maintain equipment and facilities.
• Perform other duties as assigned by supervisors.

Requirements:

• Degree in any of these field :
• Engineering (Mechanical, Electrical, or Civil)
• Facilities Management
• Project Management
• Construction Management
• or a related field
• No need experience , On Job Training Provided ( Pay Range : 3K - 3.4K* )

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Process Technician /Assistant Process Engineer
Working location: Ang Mo Kio Ind Pk 2, Sing Ind Complex, Singapore (569510)
Working date and time: 8.30am-6.15am (Mon-Fri)
Salary: $2,000-$3,000 + AWS + Bonus

Responsibilities

• Perform Lapping / Polishing process, machine installation and training.

Experience & Qualification

• Min. Higher NITEC / Diploma in Electrical or Mechatronics discipline graduates or any technical qualification in Precision Engineering.
• Knowledge of Mitsubishi or Siemens PLC is added advantages.
• Preferred candidates with min 2-3 Years Working Experience in Precision Engineering machine operation or machinery servicing.
• Can read technical drawing
• Able to use the measuring tool example micrometer, height gauge, CMM
• Knowledge on using Auto Cad

WhatsApp: https://wa.me/6596112291 (Kyra)

Voon Yih Boon Reg No: R2210672 | The Supreme HR Advisory Pte Ltd EA No: 14C7279

The Job:

• Plan and execute corrective/preventive maintenance on facility equipment and plant equipment to ensure good efficiency and availability
• Generate equipment and facilities related records/reports/ documentations on above activities
• Responsible for tracking machinery spare parts usage, maintaining adequate quantity, critical parts requirement, spare parts management, continuous improvement, and ISO audits
• Support EHSS related topics, ensure site is in full compliance with Environment, Health and Safety (EHS) and Security regulation and policy
• Resolve various equipment performance issues internally before approaching equipment vendor
• Review equipment log and technician feedback for quick solutions

The Requirements:

• Min Degree with min 3-5 Years of relevant working experience
• Degree/Diploma in Mechanical Engineering or equivalent
• Minimum 5 years of relevant working experiences
• Experience in chemical and mechanical process

Interested applicants can send their detailed resumes to [email protected] or call JANE @ 6735 1955.

JANE LUI JIE'EN

CEI: R1104482

Company Reg. No. 199601303W || EA Licence No. 99C4599

• Location: Tuas Avenue
• Working Days: 5 days (Mon-Fri)
• Working hours : 7:30am to 5:15pm
• Salary Range: $3000 - 4000

Job Responsibilities

• Monitor the machines and company equipments operational performance and condition
• Conduct preventive maintenance to machine and company equipments as per schedule
• Review and update all existing machine maintenance documents
• Prepare and design the spare parts for machines and company equipments
• Report any unsafe conditions and practices to Production Manager
• Assist of production and purchasing department of manufacturing / purchasing spare parts
• Monitor spare parts stock level and raising purchase order
• Managing, delegating and training the maintenance group
• Involve in the implementation and continuous maintenance of HSE Management System
• Perform any other duties assigned by the Production Manager

Accountable

• Meeting department quality objectives
• Ensure maximized machine uptime
• Ensure planned preventive maintenance is carried out effectively to minimize machine down time
• Ensure sustainable continuous improvement initiatives are carried out on machine, equipment and facilities

Job Requirements

Skill Requirements

• Knowledge of precision machining machineries, equipment and facilities
• Knowledge of repair and maintenance on machineries and equipment
• Knowledge of Environment, Health & Safety

Education, Experience & Training

• Diploma in Mechanical/Electrical or Mechatronic Engineering
• 5 years experiences in machine repair and maintenance

Training Requirements

• Quality Management and its related Quality Procedures

Leong Jia Qi Reg No. : R24124746

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Roles and responsibilities of Instrumentation Engineer

• Execute operational activities of the project within the timeframe, resources, and contract specifications
• Lead and execute the geotechnical instrumentation installation and monitoring works
• Assist the SIE/PM to ensure the smooth delivery of the project
• Involve in the preparation and submission of drawings, reports, and relevant documents to stakeholder
• Plan daily site activities, monitor project progress and work done quantity
• Ensure works are in accordance with drawing requirements. Ensure good quality of work including calibration of monitoring equipment
• Obtain any authorities’ or in-house clearances before work commencement
• Coordinate with the main civil contractor on the daily site works. Handle subcontractors’ activities (if any)
• Involve in geotechnical instrumentation testing, data acquisition, data verification and processing
• Prepare, review, and submit the instrument monitoring report
• Attend project meetings and inspections. Resolve site operation issues
• Ensure good recordkeeping. Assist in the preparation of progress claim
• Comply with internal and external WSHE requirements in the course of work
• Other duties as may be assigned on a need basis

*This role will be hired on contract basis to support our client's upcoming project.*

The Engineer executes the activities within his area of responsibility, ensuring the compliance with the QA/QC and HSE requirements.

Tasks include:

A - Development Technology know-how and Commercial support

B - Feasibility

C - Bidding phase/Commercial proposal development

▪ Prepare Instrumentation elements (tagged items and bulk material), quantities for cost and erection works estimates

▪ Support Discipline Lead to define man hours and cost estimates

D - Project Execution

▪ Review Client technical documentation and requirements

▪ Coordinate subcontracted engineering activities and control subcontracted engineering documents

▪ Define engineering design basis and guidelines

▪ Prepare the technical documentation for Instrumentation elements material and services requisitions and prepare, according to internal procedures, the technical evaluations

▪ Provide technical support to Project Team

▪ Optimise Instrumentation design ensuring minimal cost and complexity in compliance with the contractual and safety requirements

▪ Prepare Instrumentation technical specifications

▪ Prepare Instrumentation data sheets

▪ Prepare Instrumentation installation specifications and drawings

▪ Prepare Instrumentation BOQs and MTOs

▪ Participate to P and ID mechanization

▪ Validate Vendor control valves and safety valves sizing calculations

▪ Validate Vendor measurements elements sizing calculations

▪ Coordinate engineering activities

▪ Ensure Instrumentation 3D modeling design activities

▪ Participate to F.A.T. activities and Vendor workshop

E - Construction and start up

▪ Provide technical and engineering support to construction Team

▪ Perform site engineering activities during construction and commissioning phases.

*Please note that only shortlisted candidates will be contacted*

EA Name: Kingsforce Management Services

EA License: 94C3545

EAP Name: Paola Jane Ofrasio Fajardo

EAP Reg No: R1325507

► Good career exposure

► Near Jurong Pier

► Manufacturing industry preferable

Our client is one of the largest e-waste recyclers in Singapore with a global marketing and distribution network.

Job Responsibilities:

• Lead and manage technician and ensure daily, periodical and shutdown maintenance works are executed safely, timely and efficiently.
• Attend and resolve operation equipment's breakdown within short time frame.
• Perform troubleshooting, fault diagnosis and failure analysis to determine cause of equipment/machinery failure.
• Review and conduct technical investigation of production equipment's problems, evaluate findings, prepare analysis reports and recommend countermeasures to enhance equipment's reliability.
• Develop, review, and implement Risk Assessment for all mechanical and electrical work activities.
• Support new recycling process/ product introduction and setting up of new facility & SOP.
• Manage fixed assets and stocks movement, follow up on purchase request and delivery of parts.
• Develop, review, and implement production equipment's maintenance procedure to improve equipment maintenance methodology.
• Ensure all documents & reports generated related projects, update and maintain of maintenance and inventory records and reports.
• Provide guidance and training for supervisor and technicians to develop their skills and expertise on the process and equipment.
• Provide technical expertise for operational processes, implementing technical solutions to improve equipment uptime and asset utilization through use of continuous improvement mindset.
• Ad- hoc assignments as assigned from time to time.

Job Requirements:

• Diploma/Degree in Mechanical Engineering/ Electrical Engineering or its equivalent
• Min 3-5 years of mechanical machinery and facilities maintenance experience
• Knowledge of Microsoft Office applications
• Problem solver, analytical and a team player who display pro-activeness and initiatives and take ownership and be accountable
• Able to work independently with minimum supervision
• Possess good oral and written communication skills

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Lee Jun Siong (Johnson)

EA Personnel Reg No: R24120242

Job Responsibilities:

• Responsible for the operation, maintenance, management and engineering improvement of various systems in the factory, and provide stable supply and quality to customers.
• Operation and maintenance of ultrapure water manufacturing system.
• Operation and maintenance of wastewater treatment system.
• Operation and maintenance of process cooling water system.
• System improvement project and HOOKUP planning and execution

Job Requirements:

• Bachelor's Degree in Mechanical / Electrical & Electronic / Environmental / Chemical Engineering
• At least 1 years of relevant experience in semiconductor industry
• Candidate with relevant certificates are preferred.
• Candidate with FAB facilities systems operation experience are preferred
• Creative problem-solving and troubleshooting skills.
• Emergency response capability.
• Excellent critical thinking skills and a high level of numeracy.
• Good communication and interpersonal skills.
• Able to work independently and able to handle stress effectively.
• Proficient in PPT, Excel & presentation skill

We are looking for a Machine Learning engineer to be part of our Video Analytics team, who is passionate about building products that the customers love. You will join a dynamic and fast-pace environment and work with our product development team to design, build and roll-out our "Deep Learning enabled" Video Analytics Software suite that deliver STEngg's vision and strategy in this domain.

In this role, you will be involved with the end-to-end implementation of deep learning models to tackle a broad range of real-world video analytics problems. You will be expected to translate state-of-the-art techniques into working products and deploy them at scale and edge.

Our product development team has demonstrated its ability to create innovative solutions in the area of video analytics, and we are poised for the next phase of growth and expansion.

Responsibilities:

• Train and maintain production quality deep learning models
• Optimize and deploy these models to customers
• Carry out research to develop new techniques to improve performance of existing deep learning models and building new models

Requirements:

• Possess fundamental software engineering skills.
• Proficient in python, experience in C++ is preferred.
• Experience in training and productising ML models, benchmarking performance and accuracy.
• Experience with training models on deep learning frameworks like TensorFlow, Keras, PyTorch, Caffe2 and/or MXNet for computer vision tasks such as object detection, classification, and tracking
• Understanding of deep learning optimization concepts such as pruning, quantization, and the impact of accelerators on throughput, latency and cost
• Experience in building and optimizing ML pipelines using TensorRT or DeepStream is preferred.
• Experienced the full life cycle of model training to deployment into production, and continuous improvement
• Familiarity with working in a Linux environment on public clouds and locally
• An explorative personality with a hunger for continuous improvements
• Strong problem solving, analytical and conceptual skills, with good communication skills
• Able to work independently with minimum guidance and monitoring, a good team player

Working Perks & Professional Development

• Great opportunity to get industry and enterprise experience.
• Exposure to the full spectrum of product development in the area of deep learning enabled video analytics,
• Join a young and dynamic team and forwarding looking working culture.
• Lots of room to tinker, experiment

Our company is at the forefront of innovation in financial technology. Our mission is to develop AI-driven strategies that predict market trends.

We're looking for talented individuals to join our newly founded trading team in our Singapore office as Machine Learning Developers with a specialization in predictive finance.

Responsibilities:

• Develop and implement machine learning predictive models.
• Collaborate closely with team members to create data-driven trading strategies and algorithms.
• Conduct research on academic literature.
• Explore various data sources to craft insightful features for machine learning models.
• Continuously improve and monitor the performance of the ML models.
• Stay up-to-date with the latest trends in machine learning.

Qualifications:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, or a related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with the ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Knowledge of the financial industry and experience working with big data.
• Independent research experience.

• Location: Tuas
• Working Days: 5 days (Mon-Fri)
• Working hours : 7:30am to 5:15pm
• Salary Range: $3000 - 4000

Job Responsibilities

• Monitor the machines and company equipments operational performance and condition
• Conduct preventive maintenance to machine and company equipments as per schedule
• Review and update all existing machine maintenance documents
• Prepare and design the spare parts for machines and company equipments
• Report any unsafe conditions and practices to Production Manager
• Assist of production and purchasing department of manufacturing / purchasing spare parts
• Monitor spare parts stock level and raising purchase order
• Managing, delegating and training the maintenance group
• Involve in the implementation and continuous maintenance of HSE Management System
• Perform any other duties assigned by the Production Manager

Accountable

• Meeting department quality objectives
• Ensure maximized machine uptime
• Ensure planned preventive maintenance is carried out effectively to minimize machine down time
• Ensure sustainable continuous improvement initiatives are carried out on machine, equipment and facilities

Job Requirements

Skill Requirements

• Knowledge of precision machining machineries, equipment and facilities
• Knowledge of repair and maintenance on machineries and equipment
• Knowledge of Environment, Health & Safety

Education, Experience & Training

• Diploma in Mechanical/Electrical or Mechatronic Engineering
• 5 years experiences in machine repair and maintenance

Training Requirements

• Quality Management and its related Quality Procedures

Leong Jia Qi Reg No. : R24124746

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

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: [email protected]

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

What you'll be doing

• Assist in the management of facilities and systems, including project management for new building construction and the maintenance of existing structures
• Develop and implement programs for planned maintenance and services, ensuring effective and efficient operations
• Manage service partners and contractors, providing technical advice to user departments as needed
• Coordinate fire safety and Green Mark-related tasks to ensure statutory compliance
• Investigate safety incidents and prepare detailed reports as required
• Ensure the timely resolution of technical issues and maintenance needs, working closely with relevant stakeholders

What we're looking for

• Bachelor Degree level in Electrical Engineering or related studies
• 3 - 4 years of experience in similar setting, preferably Healthcare setting
• Proficient in design calculations, cost estimation, preparation of plans, and detailed engineering design
• Ability to meet quality and regulatory standards, and contribute to the efficient execution of projects

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

**We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

**JobStudio will not solicit any money, request to use your bank account for business or request you to transfer any monies to any parties. Please be aware of scams impersonating JobStudio and our employees. You may call our office directly for verification. We will not be liable for any loss arising from scams.**

JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Stephanie Toh

EA Personnel Reg No: R1217674