Total 295 network engineer job vacancies in Maintenance / Repair category in Singapore

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico 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 ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are 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 enrich life - a mission we work towards every day.​

As ByteDancers, 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. 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​

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.​

Job highlights

Career growth opportunity, Flat organization, Competitive compensation

Responsibilities

About The Team

The team is responsible for the recommendation algorithms of video creation tools globally, overseeing recommendation distribution and user growth optimization across all apps of CapCut, including Jianying, CapCut, Hypic, so as to enhance content distribution efficiency and user growth efficiency

Responsibilities:

- Optimize the core recommendation algorithms and strategy of video creation tools globally, including CapCut, Hypic, etc.

- Enhance user growth efficiency by optimizing distribution efficiency of content created by CapCut, Hypic, etc.

- Optimize user experiences during creation via a deep understanding of user behavior and state-of-the-art machine learning technologies.

- 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:

- Strong coding skills with a solid foundation in data structure and algorithms.

- Strong theoretical knowledge and practical experience in machine learning.

- Excellent problem analysis and solving skills, with passion for tackling challenging problems.

- Familiarity with one or more areas in machine learning, computer vision, natural language processing, or data mining.

Preferred Qualification:

- Strong practical ability, papers published in relevant competitions and top academic conferences (such as CVPR, ICCV, ECCV, etc.) are preferred.

Key Responsibility

• Monitor and operate critical facility systems, including HVAC, chilled water, compressed air, electrical distribution, boilers, gases, vacuum, and fire protection systems.
• Respond to alarms, faults, and equipment abnormalities in a timely manner.
• Perform first-level troubleshooting and coordinate escalation to maintenance, engineering, or external vendors when needed.
• Ensure safe and stable operation of utility systems to support site activities and production needs.
• Carry out shift handover with clear communication of equipment status, incidents, maintenance actions, and ongoing issues.
• Support preventive and corrective maintenance activities, including equipment isolation, verification, and return-to-service checks.
• Follow site safety, environmental, and operational procedures, including permit-to-work and lockout/tagout requirements.
• Maintain accurate logs, reports, and operational records.
• Participate in emergency response activities (as Site Incident Controller) such as power loss, utility failure, leaks, or fire alarm events.
• Collaborate with production, maintenance, quality, and EHS teams to ensure smooth operations.
• Contribute to continuous improvement initiatives related to reliability, energy efficiency, and operational performance.
• Respond to production feedback/ complaints with proper containment/ closure to system owners for follow up. 
•  

Job Requirements

• Degree or diploma in electrical engineering, mechanical engineering, facilities engineering, or a related field
• Experience in semiconductor manufacturing environments.
• Knowledge of building and utility systems.
• Basic understanding of safety and permit-to-work procedures.
• Able to stay calm under pressure
• Strong troubleshooting, communication, and coordination skills.
• Ability to work in rotating shifts, including nights, weekends, and holidays.
• Fresh graduate welcome to apply.

Key Competencies

• Safety and compliance mindset
• Rapid decision-making under pressure
• Technical troubleshooting
• Cross-functional coordination
• Clear shift communicationAttention to detail
• Operational discipline

Responsibilities:

• Plan and carry out maintenance activities for plant, production or industrial equipment.
• Perform preventive maintenance, corrective maintenance, troubleshooting and repair works.
• Support mechanical, electrical or instrumentation maintenance based on job matching.
• Maintain equipment such as pumps, valves, piping, motors, control panels, PLC, sensors or transmitters.
• Coordinate with operations, contractors and vendors on maintenance activities.
• Support shutdown, breakdown recovery, equipment improvement and reliability works.
• Prepare maintenance reports, work records and technical documentation.

Job Requirement:

• Diploma / Degree in Mechanical, Electrical, Electronics, Instrumentation, Mechatronics or related field.
• Experience in mechanical, electrical, E&I, plant or equipment maintenance.
• Experience in chemical, petrochemical, manufacturing or process industry is an advantage.
• Supervisory experience will be an advantage.

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Interested candidates, please send your detailed resume stating Past Employments, including Reasons of Leaving, Last Drawn Salary for the most recent 2 positions (breakdown of basic salary, allowance, bonuses etc), Expected Basic Salary and availability. Interested candidates, please send your detailed resume stating Past Employments, including Reasons of Leaving, Last Drawn Salary for the most recent 2 positions (breakdown of basic salary, allowance, bonuses etc), Expected Basic Salary and availability.

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Manfield Employment Services Pte Ltd (Lic. No: 95C2823)
Posting Personnel: Bernard Pang
EA Personnel Reg No.: R24119695

Job Purpose
The Assistant Engineer, Track Renewal is responsible to lead and manage a teamof technical Officers and contractors to carry out system-wide repair,maintenance and replacement of all track components such as rails, switches andcrossings so as to support SMRT in providing safe and reliable train service toour commuters.

Responsibilities

The duties and responsibilities of an Assistant Engineer,Track Renewal are as listed below. Note that the list is not comprehensive andrelated duties and responsibilities may be assigned from time to time.

·        Organize and plan all rail changeactivities 

·        Comply and execute tasks in accordance to WorkInstructions and Procedures.

·        Comply and exercise safety at all times inaccordance to Safety Procedures.

·        Responsible for the safety of self, peers andthe track throughout the working period.

·        Carry-out the role of person-in-charge (PIC) andpreventive maintenance (PM) duties and responsibilities.

·        Complete the necessary paper work for alltasks 

·        Complete rail change or built up welding workswithin a given time frame.

·        Coordinate and supervise contractors in all railchange activities

·        Supervise a team of Technical Officers for allrail change activities.

·        Coordinate with other Departments involved inrail change activities

·        Plan and forecast on all materials, tools andequipment needed for continuous rail change operation.

·        Check and verify all leaves and claims submittedby your staff.

·        Perform Ultrasonic Tests, when necessary.

·        Assist in training new staff on rail changeoperation.
 

Qualifications & Work Experience

·        Diploma in Mechatronics / Mechanical / CivilEngineering.

·        Preferably with at least 3-4 years of experiencein field maintenance.

·        Able to communicate effectively and a good teamplayer.

·        Proficient in using tools and equipment.
 
We regret to inform only shortlisted candidates will be contacted.

• 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

Job Description:

• In charge of conducting maintenance training on machinery and equipment for end users.
• Responsible for performing preventive maintenance on machinery used in production department.
• In charge of planning and performing tasks related to facilities, upgrading and repairing machinery and equipment.
• Responsible for troubleshooting machinery malfunctions.
• Take charge of maintaining updated records of repairs and completed preventative maintenance work.
• Responsible for identifying and purchasing critical spares for preventive maintenance.
• Responsible for identifying probable causes of potential failure of machinery & equipment and arrange for preventive repair and replacement to minimize machine downtime.
• In charge of maintain good housekeeping practices in maintenance work area and stores.
• Responsible for ensuring Compliance of in-house safety rules and procedures by all vendors
• In charge of supervising contractors performing maintenance jobs
• Perform related duties as assigned.

Job Requirement:

• Min Diploma in Electrical/Mechanical/Precision/ Manufacturing Engineering or related discipline.
• Min 5 years working experience in CNC machines and equipment maintenance and repair works in the manufacturing environment
• Min 5 years working experience in building facilities in the manufacturing environment

To submit your application, please apply online 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 maintenance training on machinery and equipment for end users.
• Responsible for performing preventive maintenance on machinery used in production department.
• In charge of planning and performing tasks related to facilities, upgrading and repairing machinery and equipment.
• Responsible for troubleshooting machinery malfunctions.
• Take charge of maintaining updated records of repairs and completed preventative maintenance work.
• Responsible for identifying and purchasing critical spares for preventive maintenance.
• Responsible for identifying probable causes of potential failure of machinery & equipment and arrange for preventive repair and replacement to minimize machine downtime.
• In charge of maintain good housekeeping practices in maintenance work area and stores.
• Responsible for ensuring Compliance of in-house safety rules and procedures by all vendors
• In charge of supervising contractors performing maintenance jobs
• Perform related duties as assigned.

Job Requirement:

• Min Diploma in Electrical/Mechanical/Precision/ Manufacturing Engineering or related discipline.
• Min 5 years working experience in CNC machines and equipment maintenance and repair works in the manufacturing environment
• Min 5 years working experience in building facilities in the manufacturing environment

To submit your application, please apply online 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:

• 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

About Cynapse 

Cynapse is a leading Agentic AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Agentic AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. 

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

Job Description 

We are looking for a Junior to Mid-Level Machine Learning Engineer to join our Model Engineering Team. This role is intended for engineers who view models as systems to be understood, developed, and improved rather than simply consumed as black-box components.

You will contribute across the full model lifecycle, from dataset preparation and architecture development to training, evaluation, and optimisation. Working closely with experienced engineers, you will improve model performance through experimentation, data-centric approaches, and systematic analysis, helping to build robust and efficient computer vision systems for real-world applications.

What You’ll Do: 

• Train, fine-tune, and evaluate computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and action recognition.
• Contribute to model development through architecture enhancements, custom heads, loss functions, and training strategy optimisation.
• Design and execute experiments to evaluate model improvements and performance trade-offs.
• Prototype, benchmark, and assess new architectures, techniques, and approaches against established baselines.
• Investigate edge cases and performance limitations, and improve model accuracy, robustness, and efficiency.
• Consider practical constraints such as latency, throughput, resource efficiency, and hardware-specific optimisation.
• Collaborate with engineering teams to improve dataset quality, model performance, and system reliability.

Requirements 

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• At least 2 years of hands-on experience training, fine-tuning, and evaluating computer vision models through academic, project, internship, or professional work.
• Hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in Python and familiarity with Linux environments and command-line tools.

Bonus Skills 

• Experience modifying models beyond high-level APIs (e.g. custom heads, backbone modifications, loss functions, or training pipelines).
• Exposure to multimodal, vision-language, foundation, or open-vocabulary models.
• Experience with optimisation techniques such as quantisation, pruning, distillation.
• Familiarity with experiment tracking, reproducibility, or MLOps practices.

Personal Competencies 

• Strong interest in understanding how model architectures, data quality, and training strategies influence performance.
• Enjoy experimentation, performance analysis, and iterative model improvement.
• Eager to take ownership of model components and grow into increasingly complex model development responsibilities.

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

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 Descriptions:

• Drive continuous improvement initiatives to achieve SQCDP (Safety, Quality, Cost, Delivery, People) targets and enhance overall operational performance.
• Plan and execute daily, weekly, and monthly production schedules in collaboration with Planning to ensure efficient order fulfillment.
• Lead shift operations, including Level 1 and Level 2 briefings, and act as the escalation point for operational, technical, and resource issues.
• Uphold and enforce site standards across EHS, Quality, and GMP, while coaching teams and ensuring compliance with company values and Singapore WSH regulations.
• Oversee training and development of operators, including onboarding, technical training, and maintaining accurate training records in line with established frameworks.
• Manage maintenance activities, including execution of Planned Preventive Maintenance (PPM), equipment diagnostics, and coordination with vendors to minimize downtime and ensure reliability.
• Lead safety, quality, and continuous improvement initiatives, including audits, LOTO/PTW compliance, incident investigations, and root cause analysis (NCR/CAPA, 5S).

Job Requirements:

• Education: Diploma/Degree in Mechanical, Electrical, or Mechatronics Engineering.
• Technical: Minimum 5+ years in a supervisory role with knowledge on TPM (Total Productive Maintenance) or Lean Maintenance, ideally within a chemical or related manufacturing environment.
• Leadership: Proven experience in implementing PPM schedules and managing technical vendor contracts.
• Safety: Certified in LOTO, PTW, and Work-at-Height).
• Familiar with WSH (Workplace Safety & Health) Act & NEA Regulations, with hands-on experience overseeing hazardous material equipment and engineering safety.
• Knowledgeable with ISO9001 standard and Halal manufacturing requirements.
• Experience in vendor & contract management such as coordination with third-party contractors and negotiation of local service-level agreements (SLAs).
• Excellent organizational and time management skills; ability to forward-plan workload against resource availability.

If you are interested in this opportunity, submit your application now to find out more about this position.
We regret that shortlisted candidates will be notified.

Chen Hsiu Wen (Winnie) | Personal Reg No:R1980765
Manpower Staffing Services (S) Pte Ltd | EA License No: 02C3423

About the Role

Our client is seeking a Data Scientist / Machine Learning Engineer to support the development, deployment, and optimization of machine learning solutions that enable data-driven decision-making. The successful candidate will work closely with business stakeholders, data engineers, and technical teams to transform complex datasets into actionable insights and predictive models.

Key Responsibilities

• Analyze large and diverse datasets to identify trends, patterns, and business insights.
• Develop, train, validate, and optimize machine learning models for predictive and classification use cases.
• Perform data preparation, feature engineering, and model evaluation activities.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Design and conduct experiments, hypothesis testing, and statistical analyses to support business objectives.
• Work closely with data engineering teams to prepare and optimize datasets for modelling and analytics.
• Develop data visualizations and dashboards to communicate findings and recommendations effectively.
• Monitor and maintain machine learning models in production environments to ensure performance and accuracy.
• Contribute to the continuous improvement of data science and machine learning best practices.

Requirements

• Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related discipline.
• Minimum 3 years of relevant experience in Data Science, Machine Learning, Artificial Intelligence, or related fields.
• Strong proficiency in Python and SQL.
• Hands-on experience developing and deploying machine learning models in production environments.
• Good understanding of statistics, predictive analytics, machine learning algorithms, and model validation techniques.
• Experience with data visualization tools such as Power BI, Tableau, or equivalent.
• Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
• Strong problem-solving skills and ability to communicate technical concepts to non-technical stakeholders.

Preferred Skills

• Experience with Spark, Databricks, Airflow, Azure Data Factory, AWS Glue, or similar data platforms.
• Familiarity with MLOps practices, CI/CD pipelines, Docker, or Kubernetes.
• Exposure to Generative AI, Large Language Models (LLMs), or AI foundation models will be advantageous.
• Experience working with large-scale datasets and distributed computing environments.

How To Apply:

Submit your application by emailing a detailed copy of your updated Resume in MS Word Format to Lin Jin Sen (EA Personnel Reg. No. R25129852, Achieve Career Consultant Pte Ltd EA Licence No. 05C3451)

by clicking the “Apply Now” or email to andie.lin@achievegroup.asia for a confidential discussion

Current & Expected Salary

Reason(s) for leaving

Notice Period / Availability to commence work

YOUR SUCCESS IS OUR ACHIEVEMENT!

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Cessation Of Collection Of Full NRIC Numbers:

In compliance with the Personal Data Protection Act and commitment to protect candidates’ personal data, Achieve Group will cease to collect, process or use full NRIC numbers during our screening and job application process.

Kindly ensure your resumes provided to us does not contain your full NRIC number and full home address during your job application.

We regret that only shortlisted candidates will be notified.

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)

Working days: either 4 days 12 hours rotating shift

Location: Islandwide , office at Woodlands

Salary: $2800 -$3500 depends on experience

Job scope:

• Semiconductor machines startup and installation

• Perform equipment on-site installation, diagnosing, troubleshooting, servicing, and repairing

• Perform equipment continuous improvement programmes, preventive maintenance, modifications and repairing works

• Serves as company contact point with customer on technical matters

• Attends to customers complaints and provides timely solutions

• Other ad hoc duties

Requirements:

• Nitec/ Diploma in Mechanical/ Mechatronic Engineering or related discipline

• Hands-on experience in semiconductor machine maintenance

• Able to work in cleanroom environment

  
  

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279