Total 307 Maintenance / Repair / Technician job vacancies

Benefits:

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

Job Scopes:

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

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

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

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

Responsibilities:

• Plan, monitor, and track all maintenance works to ensure ships’ operational readiness.
• Manage and track MRO (Maintenance, Repair & Overhaul) expenditures, including spares and material utilization.
• Act as the main point of contact for direct customers (ship, SREC, SSEC), maintaining strong relationships and clear communication.
• Lead and manage a team of technicians, engineers, and contractors to deliver high-quality, safe, and timely work.
• Conduct Vessel Safety Committee Coordination (VSCC) meetings during ship programs.
• Prepare and submit monthly management reports in a timely manner.
• Perform service acceptance for jobs completed by the Production Department.
• Review, check, and approve Work Orders raised by the Commercial Department.

Requirements:

• Diploma/Degree in Marine Engineering, Mechanical Engineering, Naval Architecture, or Electrical Engineering.
• Minimum 3 years’ experience in newbuild or ship repair projects preferred.
• Completion of the Ship Repair Manager Course is advantageous.
• Strong project management skills in planning, scheduling, costing, risk management, manpower management, and customer relationship management.
• Effective communicator with the ability to engage and work well with people at all levels.
• Familiarity with SAP software will be an advantage.
• Willingness to work onboard vessels and on weekends as required by project needs.

Interested candidates who wish to apply for the advertised position, please click on the APPLY button below to send in your resume.

EA License No: 13C6305

Reg. No.: R22104949 KOH SHI MIN, JOAN (XU SHIMIN)

For candidates who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

Start your career as a Maintenance Enginner / Senior Engineer at Vopak and be responsible for supporting the maintenance organization to develop & execute the 3-Year Maintenance Plan (3YMP) by translating this into a Preventive Maintenance (PM) program and Sustaining / Service / Growth Capex projects in order to keep the terminal in optimal condition. We offer you a working environment that is safe and pleasant and where equality, diversity and satisfaction are of paramount importance. Ready to develop yourself and make a positive impact? Improve the world and start as Maintenance Senior Engineer at Vopak.

What will you do as a Maintenance Engineer / Senior Engineer?

As a Maintenance Senior Engineer, you will interface with develop a 3-Year Maintenance Plan and Preventive Maintenance Program.You will also plan and execute sustaining and service / growth Capex, ensure maintenance Optimization and continuous improvement as well as troubleshoot technical problems, equipment, and system failures, conduct RCFA and develop improvement plan as needed.

What do we offer you?

• A market-based salary depending on your experience and knowledge and attractive bonuses
• Various growth opportunities

What do we expect from you as a Maintenance Engineer / Senior Engineer?

• Diploma / Degree in Engineering
• 3-5 years of experience in related field
• Exposure & experience in industrial standard (API, ASME and equivalent)
• Familiarity with API 653 and/or 570 is an advantage
• In depth knowledge of products, equipment in terminal
• Project & maintenance experience
• Strong data analysis acumen and ability to transform findings into opportunities for improvement.
• Good knowledge of maintenance, operations, safety and product knowledge.
• Knowledge of safety, health and environment regulations and practices

Your core responsibilities are:

• Responsible for developing the 3-year maintenance plan and consulted with the Maintenance Manager, Planner Maintenance and Supervisor Maintenance to get their input
• Responsible for identifying whether an asset requires preventive maintenance, based on risk assessments & asset criticality review, regulatory & statutory requirements, Vopak standards, maintenance policies and analysis of the maintenance history
• Responsible for determining and adjusting the required preventive maintenance for an asset: specifying what type of preventive maintenance must be performed on a regular basis, possible adjustments based on manufacturers’ instructions, legislation requirements, Vopak standard requirements and/or status of warranty
• Responsible for identifying with what frequency preventive maintenance work orders must be executed
• Responsible for establishing which default activities, standard procedures and required tools are needed as part of the preventive maintenance Work orders and consult with the Planner to get his input on the scope of work and default activities
• Responsible for adding a cost estimate to the PM schedule
• Responsible for identifying the information required in the inspection reports
• Responsible for terminal asset lifecycle management
• Identify Capex required based on business or sustainability needs of the terminal
• Study and develop scope of work & costs estimates
• Perform tenders for the Capex projects
• Execute the Capex projects in line with applicable Vopak standards such as Management of Change (MOC) and Vopak Project Management (VPM)
• Support on asset data management
• Carry out inspections to evaluate the quality of engineering works and / or the integrity of existing installations or structures, and make recommendations on the remedial works needed to ensure conformance with specifications and regulatory requirements
• Analyse inspection reports and proposes recommendations & action items via Work Out Of Inspection.
• Propose improvements / ideas for opportunities to achieve increased efficiency and productivity
• Perform maintenance analysis
• Perform relatively simple quality sampling and inspection of assets or processes (or both)
• Support and guide the technicians on more complex issues
• Determine root cause for equipment and system failures and recommend corrective measures
• Coordinate activities of subcontractors and suppliers and acting as a primary point of contact for them while working within an established contract management plan
• Facilitate internal and external audits as such authorities audits & customers’ audits
• Lead or support on corporate initiatives or pilot rollouts
• Training of Maintenance and Operations technicians

Job Description
1. Improve energy efficiency of existing buildings by analyzing, upgrading, and optimizing control systems to reduce energy consumption and operating costs.

Design, program, and modify Building Management Systems (BMS) and control strategies

2. Implement energy-saving measures such as scheduling, demand control, and setpoint optimization.

3. Conduct energy audits and performance assessments.

4. Perform system commissioning, testing, and validation.

5. Integrate smart meters, sensors, and automation technologies.

6. Monitor system performance and recommend continuous improvements.

7. Ensure compliance with energy efficiency standards and local regulations.

8. Prepare technical reports, documentation, and cost-benefit analyses.

9. Strong communication and teamwork skills.

10. Problem-solving mindset and willingness to learn.

11. Any other duties as and when assigned by management.

Job Requirements
1. Diploma or Degree in Instrumentation Engineering, Electrical Engineering, Mechanical Engineering (HVAC), or related field.

2. Minimum 3 years of experience in building automation, HVAC controls, or energy management.

3. Strong knowledge of BMS platforms.

4. Experience with PLC programming and control systems.

5. Understanding of HVAC systems and energy efficiency principles.

• Well Established Company
• Basic $2800 - $4000 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression\
• Working location: Gul Circle (Company Transport Provided)
• Working day: Monday to Friday
• Working hours: 8.15am to 5.15pm

Job Responsibilities:

• Responsible for outdoor and indoor repair work of all cleaning products
• Mechanical preventive maintenance - verify mechanical faults, replacement of spare parts and repair
• Work closely with service technicians for problem solving and coordinating jobs between field service and workshop repairs
• Required to work within the Company workshop where there is no outdoor repair
• Any ad hoc duties as assigned

Job Requirements:

• Possess at least a Professional Certificate/ Nitec in any Electrical & Electronic or Mechatronics Engineering or relevant qualification
• Experience in repair of forklifts, automobiles, heavy industrial equipment, and knowledge in engines, motors and electrical would be relevant and useful
• Possess Class 3 driving license is an advantage

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

Company location at Tuas, transport provided islandwide MRT locations.

Responsibilities:

• Perform preventive and corrective maintenance,inspections, and troubleshooting on DP-area equipment to ensure reliableoperations.
• Support equipment installation, commissioning, FAT/SAT,IOQ, and start-up activities, including resolving technical issues.
• Handle breakdowns, support audits, and assist indeviation investigations, CAPA, change controls, and risk assessments.

Requirements:

• Diploma/Degree
• 2 years with pharmaceutical industry
• Comfortable with shift work

Kindly email your resume in a comprehensive Word formatto jacqueline.goh@talentvue.com.sg

We regret to inform that only shortlisted candidates will be notified.

Please be informed that by applying for the advertisedposition, the candidate is considered to have given their consent for us tocollect, utilize, or disclose their personal information for the purposesrelated to the services we provide.

Jacqueline Goh

EA License Number: 22C1430

Registration Number: R1326664

Role Overview

Your primary focus is to develop and execute an efficient maintenance plan that minimizes downtime through routine preventive tasks, including cleaning, lubrication, and sensor calibrationand the swift diagnosis of electrical, mechanical, or software faults. By optimizing vehicle routes and addressing corrective maintenance immediately, you will ensure seamless warehouse delivery performance and high operational efficiency.

Location : Tuas Biomedical Park with company shuttle bus provided islanded

Responsibilities

• Perform regular preventive maintenance including component inspection, cleaning, and lubrication to ensure equipment longevity.

• Diagnose and resolve complex electrical, mechanical, and software issues within AGV systems to minimize downtime.

• Monitor AGV performance and oversee system operations to maintain safety and efficiency within the warehouse environment.

• Collaborate with production teams to optimize vehicle routes and improve overall workflow efficiency.

• Maintain accurate records of all maintenance activities, system performance metrics, and incident reports.

• Ensure all operations remain in strict compliance with safety protocols and Good Manufacturing Practices (GMP).

• Work closely with warehouse personnel, the SEM automation team, and the CMMS system to streamline maintenance tasks.

• Maintain the flexibility to work overtime or varied shifts as required by operational needs.

• Execute any reasonable assignments or additional duties as directed by the Maintenance Lead or Department Head

Requirement :

• Diploma /Degree in Mechatronics, Robotics, or Mechanical/Electrical Engineering with a focus on automation.

• 1–3 years of experience in warehouse environments, specifically with ASRS or AGV maintenance.

• Prior experience with warehouse AHU/HVAC systems is highly preferred.

• Knowledge of industrial freezer operations and maintenance is an advantage.

• Strong analytical, problem-solving, and communication skills.

• Ability to work effectively in a fast-paced environment, including performing tasks at heights.

• A positive, proactive attitude and a strong commitment to team goals.

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

Duties:

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

Requirements

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

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

We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

Responsibilities:

• Operate, monitor, and maintain Clean/Black Utilities andHVAC systems via BMS/EMS, ensuring compliance in GMP and non-GMP environments.
• Perform daily inspections, log system data, troubleshoot issues, and escalateabnormalities to minimize downtime.
• Support commissioning, projects, SOP/URS documentation, and coordinate withinternal teams and external vendors.

Requirements:

• Minimum Diploma
• Boiler certification Level 1/2
• Able to work in cleanroom environment

Kindly email your resume in a comprehensive Word formatto jacqueline.goh@talentvue.com.sg

We regret to inform that only shortlisted candidates willbe notified.

Please be informed that by applying for the advertised position, the candidate is considered to have given their consent for us tocollect, utilize, or disclose their personal information for the purposesrelated to the services we provide.

Jacqueline Goh

EA License Number: 22C1430

Registration Number: R1326664

Company Overview / Employee Value Proposition

ST AEROSPACE ENGINES PTE LTD

Job Summary

Lead technical functions for engine and product repairs, driving quality improvements and process innovations within Engines MRO environment. Collaborate with authorities and stakeholders to ensure compliance and operational excellence.

Responsibilities

• Lead repair engine products/platform technical functions to ensure effective maintenance and quality outcomes
• Provide technical support by resolving manual discrepancies and proposing out-of-manual repair solutions for mature repairs
• Review and interpret publications from OEMs and customers (ESM, SB, IC, industrial specifications) to maintain repair standards
• Design, review, and manage RFQ processes for production repair fixtures, jigs, and tools to optimize repair operations
• Conduct tooling and consumable equivalency reviews to validate repair resources
• Perform First Article inspections on new repairs to verify compliance and readiness
• Execute capability setup and declaration for new repairs, equipment, or processes for regulatory submission
• Draft and amend technical worksheets to document repair procedures accurately
• Lead or assist investigations into engine/product quality failures by conducting root cause analysis and implementing corrective and preventive actions
• Manage repair special processes, providing technical support to resolve repair or process quality issues related to equipment, parameters, or manuals
• Review process-related publications from OEMs and customers (ESM, SPM, IC, industrial specifications) to ensure process compliance
• Generate and govern process parameters and identify improvements to drive cost savings and efficiency
• Maintain and control in-house process specifications to uphold quality standards
• Prepare maintenance procedures (FMM) for new equipment to ensure operational reliability
• Develop aviation Hazard Identification and Risk Assessments (HIRA) for new processes to mitigate risks
• Lead or assist investigations into process quality failures or industrial accidents by performing root cause analysis and following up on corrective and preventive measures
• Liaise with regulatory authorities (e.g., NEA) to ensure process requirements are met and maintained

Required competencies and certifications

• Degree in Mechanical, Aerospace, or Aeronautical Engineering
• Knowledge of FAA 45 / EASA 145 regulations
• Understanding of regulatory NDT requirements

Preferred competencies and qualifications

• Min. 3 to 5 years of experience in Propulsion Engines and Components MRO environment
• Strong fundamentals in engineering drawing interpretation
• Understanding of repair processes
• Strong analytical, communication, and interpersonal skills
• Demonstrated high degree of initiative

Overview

Element has an opportunity for an Instrumentation Engineer to join our rapidly expanding team. In this role, you will perform a variety of routine and non-routine testing assignments within the department assigned and insures timely and accurate test results under minimal direct supervision.

This role is based in Kaki Bukit, Singapore.

Responsibilities

• Provide technical and engineering leadership, and supports the development of new technologies within a local laboratory
  
• Be accountable for accurate and timely release of testing data to customers including sign-offs of quality control data as acceptable
  
• Be expected to obtain guidance in non-routine situation testing movement, vibration, real time reading
  
• Have the ability to oversee standard and/or routine technical problem solving activities
  
• Interact with customers on technical issues and questions
  
• Provide Input and support on business development opportunities with new or existing customers
  
• Be confident in making both formal and informal presentations on conventional and/or routine testing to a wide range of stakeholders
  
• Assist in the professional development of novice technicians and engineers within the local laboratory
  
• Carry out crucial examination and implementation of testing concepts and data
  
• Utilize an assortment of skill, methods, procedures and materials in advanced testing analysis
  
• Be adept at drawing on internal knowledge as well as industry and/or academic resources in reaching testing conclusion
  

Skills / Qualifications

• Possess a Degree in Civil / Mechanical / Electrical / Geotechnical Engineering with at least 3 years of working experience
  
• Working knowledge of site safety
  
• Possess a high level of expertise related to scope, core theories, concepts, terminologies and boundaries of chosen engineering discipline - Water, ground and environment
  
• Possesses a demonstrated ability to apply academic knowledge within the context of Element’s business
  
• In-depth understanding of testing concepts
  
• Can analyze and compiles testing data from the tests performed
  
• Possess strong computer skills
  

#LI-CL1

Company Overview

Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to ‘Make tomorrow safer than today’.

When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access.

While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development.

Industries across the world depend on our care, attention to detail and the absolute accuracy of our work. The role we have to play in creating a safer world is much bigger than our organization.

• Oversee the maintenance of building structures, both inside and outside.
• Carry out repairs and upkeep of fixtures, fittings, and other building components.
• Coordinate with vendors for inspection, servicing, and certification of lifts, cranes, and related equipment.
• Manage and supervise contractors to ensure timely and quality work.
• Ensure proper care and general maintenance of the premises and surrounding areas.

Requirements:

• Diploma in Mechanical or Electrical Engineering.
• At least 3 years of experience in facilities/building maintenance.
• Practical, hands-on skills in building repair and maintenance work.
• Basic understanding of both mechanical and electrical systems.

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

Please note that only shortlisted candidates will be notified.

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

EA Licence: 19C9701

Registration: R1326740

About TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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 highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

The E-Commerce Risk Control (ECRC) team is missioned: - To protect Tiktok E-Commerce users, including and beyond buyer, seller, creator; - By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform; - Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.

In this team you'll have a unique and exciting opportunity to have first-hand exposure to build scalable and robust, intelligent and privacy-safe, secure and product-friendly systems via AI technology and data science products. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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

- Develop machine learning solutions for identifying and preventing various fraudulent activities.

- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.

- Build data pipeline to enable scalable and real-time risk prevention.

- Analyze / test the effectiveness of the built solutions.

- Work in a cross-functional team setting to mitigate business risks.

- Work with relevant software platform to develop/deploy/monitor the models.

Qualifications

Minimum Qualifications:

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

- Good coding skills in one or more programming language.

Preferred Qualifications:

- Familiar with machine learning frameworks such as scikit-learn, tensorflow, pytorch.

- Ability to think critically, rationally, and communicate in result-oriented, data-driven manner.

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 apac-earlycareers@tiktok.com

About TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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 highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

The team use the most advanced AI technology to combat various risks/violations in TikTok's e-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency. We pursue the ultimate risk detection capability. The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas where we are constantly striving for improvement.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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

- Responsible for using algorithms to mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios, and assist businesses in managing and controlling them.

- Responsible for using algorithms to identify events and behaviors that affect product experience and efficiency, and building data models to help create a favorable ecosystem and support business operations.

- Participate in building data for various entities such as e-commerce live streaming/video, products, merchants, and creators, building large-scale network/feature sequence models to support business scenarios such as content understanding, multimodal representation, community mining, and solve problems related to products, live streaming, and video management, and provide support for them.

- Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the TikTok e-commerce community.

- Explore and research cutting-edge technologies in machine learning/graph learning/sequence learning and related fields, implement these technologies in practical business scenarios, and support the production of scalable and optimised machine learning models.

Qualifications

Minimum Qualifications

- Final year PhD graduates in Computer Science, engineering or quantitative field.

- Solid coding skills, familiar with deep learning/graph neural network/machine learning frameworks such as PyTorch, TensorFlow, DGL, pyg, sklearn, etc.

- Familiar with one or more algorithms in machine learning/graph learning/sequence learning, such as graph modeling, timing signal modeling, node/subgraph classification, community mining, representation learning, self-supervised/semi-supervised learning, with a certain depth and breadth.

- Relevant industry experience with solid theoretical foundation of machine learning.

Preferred Qualifications

- Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.

- Published papers in high-level computer science conferences (ACL, EMNLP, NIPS, AAAI, etc.) or have competition experience are preferred.

- Familiar with the application of related algorithms in data mining, search recommendation, content understanding, and governance risk control preferred.

- Skilled in numpy and pandas for modeling experiments, familiar with big data tools such as Hive, Spark, Hadoop preferred.

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 apac-earlycareers@tiktok.com

About TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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 highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

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 our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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.

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 apac-earlycareers@tiktok.com

About TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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 highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

The E-Commerce Risk Control (ECRC) team is missioned: - To protect Tiktok E-Commerce users, including and beyond buyer, seller, creator; - By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform; - Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.

In this team you'll have a unique and exciting opportunity to have first-hand exposure to build scalable and robust, intelligent and privacy-safe, secure and product-friendly systems via AI technology and data science products. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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

- Develop machine learning solutions for identifying and preventing various fraudulent activities.

- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.

- Build data pipeline to enable scalable and real-time risk prevention.

- Analyze / test the effectiveness of the built solutions.

- Work in a cross-functional team setting to mitigate business risks.

- Work with relevant software platform to develop/deploy/monitor the models.

Qualifications

Minimum Qualifications:

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

- Good coding skills in one or more programming language.

Preferred Qualifications:

- Familiar with machine learning frameworks such as scikit-learn, tensorflow, pytorch.

- Ability to think critically, rationally, and communicate in result-oriented, data-driven manner.

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 apac-earlycareers@tiktok.com

About TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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 highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

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 our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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.

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 apac-earlycareers@tiktok.com

About TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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 highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

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 our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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 PhD 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.

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 apac-earlycareers@tiktok.com

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. 

Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe.  Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 

Key Highlights: (AI / ML Engineer)

• 5 Work Days, 8.30am-5.30pm / 9am-6pm 

• Office Near to Kaki Bukit MRT, Singapore 

• Medical Benefits Provided 

• Entitled to Yearly Bonus & Performance Bonus 

Job Responsibilities: 

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems. 

• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy. 

• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work. 

• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products. 

• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition. 

• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders. 

Job Requirements: 

1. Bachelor's or master's degree in computer science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

3. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills 

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. 

8. Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits. 

• Provide support in organizing and overseeing day-to-day facility upkeep to keep project activities on track.
• Coordinate project timelines and deliverables with clients, consultants, and subcontractors for timely completion.
• Perform on-site inspections to monitor work progress, conduct quality checks, and provide feedback for improvements.
• Support the preparation and submission of technical drawings and related project documentation.
• Handle administrative duties linked to project activities and provide on-site support when necessary.

Requirements:

• Diploma in Mechanical, Electrical Engineering, or equivalent
• At least 2 years of experience in the M&E/Construction Industry.
• Advantageous to have relevant safety certifications.
• Able to work independently and under tight deadlines.

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

Please note that only shortlisted candidates will be notified.

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

EA Licence: 19C9701
Registration: R1326740

Machinery Service Engineer (Semiconductor Industry)

• Office Location: Kaki Bukit, Singapore
• Working Hours: Mon – Fri 8.30am – 5.00pm
• Monthly Salary: Base up to $3000 + Allowance + AWS + Variable Bonus (VB)
• Employment Type: Contract

Company Overview

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

Responsibility

• Install, configure, and maintain production machinery at local and regional sites.
• Diagnose and resolve equipment issues to ensure optimal performance and minimize downtime.
• Manage spare parts inventory to support timely and effective maintenance activities.
• Travel domestically and internationally for project assignments, training, and technical support.
• Collaborate with clients and internal teams to troubleshoot and resolve technical challenges efficiently.
• Maintain accurate documentation of service activities and provide regular updates to stakeholders.
• Comply with all safety regulations, workplace procedures, and environmental protocols to ensure a safe working environment.

Requirements

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

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

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

Job Description

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

Key Responsibilities

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

APPLY NOW!!!

• Diploma/ Degree in Electrical & Instrumentation, Mechanical, or Chemical Engineering.
• At least 3 years of related working experience, preferably within a chemical manufacturing environment.
• At least a basic understanding of electrical systems and instrumentation. (with LEW certification will be an added advantage)
• Familiar with Risk Assessment and Failure Mode and Effects Analysis (FMEA).
• Having AutoCAD knowledge and proficiency is an added advantage.
• With understanding of EHS practices, including ISO 14001, ISO 45001, and ISO 9001 standards.

Kindly apply through ANY of the following methods:

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

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

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

Job Description:

• In charge of conducting and certify scheduled and unscheduled maintenance, repair, and testing of aircraft systems and components.
• Responsible for carrying out complex tasks such as engine servicing and component replacement, troubleshooting defects, and maintaining production equipment.
• In charge of performing detailed inspections of aircraft structures, landing gear, engines, and other critical systems.
• In charge of leading and supervising teams of technicians to complete maintenance tasks efficiently.
• Responsible in promoting and upholding a culture of safety among maintenance teams and ensure all activities comply with quality standards.
• Maintain detailed and accurate records of all maintenance activities and certifications.
• Ensure all work is performed in accordance with regulations from the Civil Aviation Authority (CAA) and the Original Equipment Manufacturer (OEM).

Job Requirement:

• Minimum Degree in Mechanical/Manufacturing/Aeronautical Engineering or equivalent.
• Minimum 3 years of working experience in MRO industry
• Knowledge of special processes such as Weldng (TIG/EBW), Thermal Spray, Heat Treatment, Machining will be advantage

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Job Description:

• In charge of conducting and certify scheduled and unscheduled maintenance, repair, and testing of aircraft systems and components.
• Responsible for carrying out complex tasks such as engine servicing and component replacement, troubleshooting defects, and maintaining production equipment.
• In charge of performing detailed inspections of aircraft structures, landing gear, engines, and other critical systems.
• In charge of leading and supervising teams of technicians to complete maintenance tasks efficiently.
• Responsible in promoting and upholding a culture of safety among maintenance teams and ensure all activities comply with quality standards.
• Maintain detailed and accurate records of all maintenance activities and certifications.
• Ensure all work is performed in accordance with regulations from the Civil Aviation Authority (CAA) and the Original Equipment Manufacturer (OEM).

Job Requirement:

• Minimum Degree in Mechanical/Manufacturing/Aeronautical Engineering or equivalent.
• Minimum 3 years of working experience in MRO industry
• Knowledge of special processes such as Weldng (TIG/EBW), Thermal Spray, Heat Treatment, Machining will be advantage

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Job Description

• Industry/ Organization Type: Engineering
• Position Title: Instrumentation Engineer
• Working Location: Clementi
• Working Hours: 5 days (Mon to Fri 8.30AM – 5.30PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent

Key Responsibilities

• Provide technical support to the sales team, including engineering-related quotations, technical clarifications, and proposal preparations
• Support pre-sales discussions, answer customer technical questions, and present solutions for company products
• Provide technical assistance, including troubleshooting and discussing supplied solutions
• Design and implement instrumentation solutions for refineries and petrochemical plants
• Perform instrument selection, calibration, and troubleshooting for MOV actuators, temperature sensors, and control systems
• Assist with installation, commissioning, and maintenance tasks
• Prepare technical documentation and reports for projects and customer communication
• Any other ad-hoc duties as assigned

APPLY NOW!!!

• Diploma/Degree in Instrumentation, Electrical, or Mechanical Engineering
• Has 3 years of experience with instrumentation engineering, preferably in O&G or petrochemical industries
• Hands-on experience with MOV actuators, temperature sensors, and industrial control systems is an added advantage

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #74260 on the email subject.

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

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