Total 603 quality assurance engineer job vacancies in Maintenance / Repair category in Singapore

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)

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.

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.

*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

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

• Location: Tuas Avenue
• Working Days: 5 days (Mon-Fri)
• Working hours : 7:30am to 5:15pm
• Salary Range: $3k - 4k

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

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.

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 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

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

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

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

- Preference given to candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/ML 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.

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].

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

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

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

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

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

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

Join us.

About The Team

Site Reliability Engineering (SRE) of Applied Machine Learning (AML) team combines system engineering and the art of machine learning to develop and run massively distributed recommendation system around the world.

On the SRE team, you'll have the opportunity to sharpen your expertise in coding, performance analysis and large system operation, and get heavily involved in the process of hardware/capacity decision-making.

SRE ensures that the very centric machine learning services at ByteDance have the highest level of availability, as well as creating highly automated systems and pipelines.

Responsibilities

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Qualifications

- Bachelor’s degree in Computer Science or equivalent

- Proven experience in analyzing and troubleshooting distributed systems.

- Prior experience designing and maintaining large-scale systems.

- Experience programming in at least one of the following languages: Python or C/C++.

Preferred Qualifications

- Ability to thrive in a fast-paced environment.

- Strong understanding of code optimizing and routine tasks automation.

- Proficiency in at least one machine learning framework: TensorFlow, PyTorch, MXNet or PaddlePaddle.

- Solid background of algorithms and data structures.

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

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

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

Join us.

About the Team

The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact for core businesses of the company. Currently we are looking for Software Engineer - Machine Learning Infrastructure to join our team to support and advance that mission.

Responsibilities

- Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.

- Responsible for improving use-ability and flexibility of the machine learning infrastructure.

- Responsible for improving the workflow of model training and serving, data pipelines and resource management for the multi-tenancy machine learning systems

- Responsible for designing and developing key components of ML infrastructure and mentoring interns

- 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

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.

- Proficient in C/C++/Python, and have solid programming skills.

- Familiar with deep learning frameworks (TensorFlow/Pytorch).

- Experience in developing and deploying large-scale systems.

- Ability to work independently and complete projects from beginning to end and in a timely manner.

- Good communication and teamwork skills to clearly communicate technical concepts with other teammates.

- Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax).

- 3+ years of industry experience with solid theoretical foundation of machine learning.

Preferred Qualifications:

- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).

- Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.

- Strong background in one of the following fields: Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for Systems.

Bytedance 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 Bytedance, 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.

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

About the role:

Ensures the execution of the engineering activities within his area of responsibility, works following the TM

guidelines, cooperates with the other Project positions and ensures the compliance with the QA/QC and HSE requirements.Tasks include:

A-Development of Technology know-how and Commercial support

B-Feasibility

▪ Provide technical support to other Project positions for specialist aspects

C-Bidding phase/Commercial proposal

▪ Analyse and understand Tender documentation

▪ Define Discipline list of activities and deliverables and coordinate activities in accordance with Project schedule

▪ Identify technical queries, deviations and alternatives to be submitted

▪ Implement bidding methodologies, design criterias and guidelines

▪ Define and issue Request for quotation for not estimated in-house items

▪ Coordinate material quantities and weight estimation

▪ Prepare engineering manhour and material cost estimations

▪ Support the Proposal Manager during technical clarification meetings with the Client

D-Project Execution

▪ Ensure the achievement of the assigned goal and the fulfillment of the Project quality and contractual requirements. Take the necessary corrective actions within the Discipline Project Team to meet the assigned goal. Report to the TM for more

extensive problems

▪ Define list of activities and deliverables, setup time schedule, coordinate activities in accordance with contractual requirements

▪ Ensure Discipline Project progress, monitor and control manhour consumption

▪ Prepare technical annexes for engineering activities to be subcontracted

▪ Ensure subcontractor coordination and monitoring/reporting to PM of the Discipline budget costs

▪ Ensure proper Discipline workflow, interfaces, quality checks and ap proval of all Discipline Project documents, including Vendor ones

▪ Track and report to TM Discipline scope of work changes updating manhour and cost estimates

▪ Provide technical support to Project functions including Procurement and Construction

▪ Support PM in technical interfacing with the Client (according to TM)

▪ Define and issue Purchase Requisitions

▪ Ensure Technical Bid Evaluations

▪ Ensure Vendor follow-up activities

▪ Provide technical support for the definition of the Discipline construction inspection plan

▪ Manage Vendor inspection test plan approval and support post order activities -Construction and start up

▪ Support the construction team in implementing the engineering solutions at site F-Home office activities (master)

▪ Verifiy manhour and cost estimates

▪ Check key Project documents according to internal procedures

▪ Support Project teams to solve non standard technical issues

▪ Update Discipline workflows and technical standards

▪ Support execution plan definition

▪ Monitor Discipline Project KPIs

▪ Participate to Vendor technical qualification and to procurement strategy definition.

*Please note that only shortlisted candidates will be contacted*

EA Name: Kingsforce Management Services Pte. Ltd.

EA License: 94C3545

EAP Name: Paola Jane Ofrasio Fajardo

EAP Reg No: R1325507

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)

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

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

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

Join us.

About the Team

The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact for core businesses of the company. Currently we are looking for Software Engineer - Machine Learning Infrastructure to join our team to support and advance that mission.

Responsibilities

- Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.

- Responsible for improving use-ability and flexibility of the machine learning infrastructure.

- Responsible for improving the workflow of model training and serving, data pipelines and resource management for the multi-tenancy machine learning systems

- Responsible for designing and developing key components of ML infrastructure and mentoring interns

- 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

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.

- Proficient in C/C++/Python, and have solid programming skills.

- Familiar with deep learning frameworks (TensorFlow/Pytorch).

- Experience in developing and deploying large-scale systems.

- Ability to work independently and complete projects from beginning to end and in a timely manner.

- Good communication and teamwork skills to clearly communicate technical concepts with other teammates.

- Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax).

Preferred Qualifications:

- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).

- Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.

- Strong background in one of the following fields: Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for Systems.

Bytedance 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 Bytedance, 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.

(A) Essential Job Functions:

The Instrumentation & Monitoring Engineer is responsible for, but not limited to, the following:

• Conduct, manage and solve technical issues escalated from sites related to instrumentation and monitoring.
• Coordinate, manage, and supervise all the instrument installation and monitoring works.
• Liaise and coordinate with subcontractor for installation and monitoring issues.
• Interpret and prepare interpretative reports for instrumentation.
• Participate in monitoring meetings with client and coordinate with IMC.
• Coordinate with the construction team to minimise obstruction and damage to the monitoring instruments.
• Supervise and quality control in instrumentation works
• Other ad-hoc duties assigned by manager.

(B) Minimum Qualifications/ Job Experience:

• A Degree holder in Civil Engineering/Geotechnical Engineering or equivalent.
• Minimum 8 years of engineering experience in civil projects.
• Experience in Instrument Installation, Recordings, Interpretation.

(D) Knowledge/ Skills/ Abilities:

• Adept in using MS Office, especially, Excel, PowerPoint and Word.
• Able to work independently and with minimal supervision.
• Excellent English communication and written skill (To liaise with Government Authorities, clients and associates).
• Must be able to work under pressure.

Please apply here: https://talent.sage.hr/jobs/b0aa80ab-6951-4717-b49e-37ac3c199206

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for Machine Learning Research Engineers with the following backgrounds:

- Generative Modelling (particularly LLMs and multi-Agent systems)

- Data science

- High-performance Computing

- Data-driven personalised healthcare

- Model-based personalised healthcare (e.g. pharmokinetic modelling)

- Translational and regulatory expertise in medical devices

As a Machine Learning Research Engineer, the successful candidate will contribute to the programme by developing and implementing novel machine learning algorithms with focus on security and data privacy, as well as translating recent AI advancements to the healthcare setting.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for.

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

About Us:

At our core, we are a digital health startup with a bold vision: we believe in a future where healthcare is personalised, accessible, and affordable for everyone. Over the past four years, we’ve built a telehealth platform that has transformed healthcare in Singapore, Hong Kong, and Japan. But this is just the beginning.

We are looking for someone who shares our vision and is ready to join us on this journey towards reshaping healthcare in Asia. If you’re ready to do something truly impactful, this is the opportunity to create a legacy that will define the next generation of healthcare.

About the Role:

Are you ready to make a real difference in healthcare? As a Machine Learning Engineer, you’ll play a pivotal role in redefining how technology can deliver personalized healthcare at scale. Working closely with our Head of Engineering, you’ll join a small but elite team tasked with building cutting-edge solutions that integrate AI, machine learning, and LLMs to revolutionize telehealth in Asia.

This isn’t about maintaining the status quo—it’s about crafting a moonshot vision for the future. You’ll have the opportunity to work on groundbreaking challenges, such as scaling relationship management through AI, delivering personalized health insights, and developing tailored medication and products for patients.

Why Join Us?

This is more than a job—it’s a mission. While there may be trade-offs in compensation, what we offer is the chance to be part of something transformative. You’ll have ownership over impactful projects and the opportunity to work with a passionate team dedicated to changing lives through technology and innovation.

What You’ll Do:

• Develop and deploy machine learning models to support personalized healthcare at scale.
• Work on integrating AI and LLMs to enhance data insights, automate processes, and manage patient relationships effectively.
• Collaborate with the Head of Engineering and leadership team to design and implement technical solutions aligned with the company’s mission.
• Optimize ML pipelines for scalability and performance in a fast-paced telehealth environment.
• Ensure the security and integrity of patient data while leveraging it to create actionable insights.
• Continuously experiment and innovate, staying at the forefront of AI and ML advancements.

Who You Are:

• You’re passionate about using technology to make a meaningful impact on people’s lives.
• You have hands-on experience building and deploying machine learning models in production.
• You’re familiar with AI and LLM technologies and understand how to personalize experiences at scale.
• You thrive in fast-paced, high-growth environments and enjoy the challenge of building solutions from scratch.
• You have strong problem-solving skills and a desire to tackle healthcare’s toughest challenges.
• Experience with healthcare data or applications is a plus but not mandatory.

What We Offer:

• The chance to work on meaningful projects that have the potential to transform healthcare in Asia.
• A collaborative and innovative team culture where your contributions truly matter.
• Ownership over impactful projects and the freedom to explore cutting-edge technologies.

Join us, and let’s build the future of healthcare together.

Why Join Us:

• Impact: Be part of something truly transformative—help lead the shift towards personalised healthcare in Asia.
• Ownership: Full responsibility over the engineering function and the freedom to shape technical direction.
• Equity: Share in the long-term success of the company.
• Flexibility: Work remotely, with occasional travel across Asia to collaborate with the team.
• Mission-Driven: Join a team that’s passionate, focused, and committed to making a real difference in healthcare.

Maintenance Engineer | 5 Days | Up to $4k | Tuas

Location: Tuas Avenue
Working Days: 5 days (Mon-Fri)
Working hours : 7:30am to 5:15pm
Salary Range: $3k - 4k

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

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

• Location: Tuas Avenue
• Working Days: 5 days (Mon-Fri)
• Working hours : 7:30am to 5:15pm
• Salary Range: $3k - 4k

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

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

If you are interested to apply, kindly WhatsApp me your updated resume in DOC file and allow our Consultant to match you with our Clients.

Whatsapp: +65 8525 2419

Email: [email protected]

Tan Man Ee (Ashley) Reg No: R22108289

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

• Position title : Maintenance Engineer
• Location: Tuas Avenue
• Working Days: 5 days (Mon-Fri)
• Working hours : 7:30am to 5:15pm
• Salary Range: $3k - 4k

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

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