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

Position Summary

Maintenance Engineer is to oversee repair and preventive maintenance of electrical and mechanical equipment and all property repairs through involvement and delegation with subordinates.

Responsibilities

• Support the Chief Engineer in the daily functions of the Maintenance department
• Supervise delegate duties to repair and maintain all electrical / mechanical / air-conditioning equipment in the Hotel
• Plan, schedule and co-ordinate building mechanical and electrical maintenance works
• Liaise with general contractors and must ensure before commence all RA must be fully endorsed
• Able to carry our repair and maintain all air conditioning equipment, refrigeration, and electrical work associated with equipment
• Assist in the planning of budget and monthly reports
• To carry out shift / Split shift duties or when called upon to perform
• Carry out other assignments and duties as and by the Assistant Maintenance Manager or Senior Maintenance Officer

About No deviation

At No deviation, we are dedicated to delivering patient-centric solutions that revolutionize the pharmaceutical landscape. As a dynamic expert in engineering consultancy, Commissioning Qualification Validation (CQV), and Quality, Compliance, and Regulatory services, we are looking for individuals who are excited to contribute to impactful projects and drive innovation.

We believe that great things happen when Empathy, Integrity, and Transparency guide our actions. That's why we foster a culture of collaboration, inclusion, and continuous development – empowering our team members to grow personally and professionally.

Position Overview

The Maintenance Equipment Engineer is responsible for ensuring the reliability, availability, and compliance of manufacturing equipment within the API plant. This role supports maintenance strategies, troubleshooting, and continuous improvement to ensure safe, efficient, and GMP-compliant operations.

Key Responsibilities

1. Equipment Reliability & Maintenance

• Develop and implement preventive and predictive maintenance programs for API manufacturing equipment
• Ensure high equipment uptime and reliability to support production targets
• Troubleshoot and resolve equipment breakdowns in a timely manner

2. Maintenance Strategy & Optimization

• Drive continuous improvement initiatives to enhance equipment performance (MTBF, MTTR)
• Support root cause analysis (RCA) and implement corrective and preventive actions (CAPA)
• Optimize maintenance plans based on data, equipment history, and criticality

3. GMP Compliance & Documentation

• Ensure all maintenance activities comply with cGMP, EHS, and internal quality standards
• Maintain accurate documentation including maintenance records, SOPs, and logbooks
• Support audit readiness and regulatory inspections (e.g., FDA, EMA)

4. Equipment Support & Technical Expertise

• Provide technical support for process equipment
• Liaise with equipment vendors and contractors for maintenance, repair, and upgrades
• Support commissioning, qualification (IQ/OQ/PQ), and validation activities

5. Cross-functional Collaboration

• Work closely with Production, Engineering, QA, and Validation teams
• Support deviation investigations related to equipment failures
• Participate in cross-functional projects for process improvement and plant upgrades

6. Project & Change Management

• Support or lead engineering projects related to equipment upgrades, replacements, and modifications
• Manage change control processes in compliance with GMP requirements
• Ensure timely execution of maintenance-related CAPEX and improvement projects

Required Qualifications

• Bachelor's degree in Mechanical Engineering, Chemical Engineering, Electrical Engineering, or related discipline
• 3–8 years of experience in pharmaceutical, API, or chemical manufacturing environment
• Strong understanding of GMP requirements and regulated industry standards
• Experience in maintenance of process equipment in API manufacturing

Why join us?

• Generous Leave Policy.
• Comprehensive Health & Wellness Coverage: Receive robust medical and dental coverage to support your health needs.
• Professional Development Opportunities: Access continuous learning programs and resources for career growth within the company.
• Inclusive Culture: Work in an environment where innovation, collaboration, and diverse perspectives are encouraged and celebrated.
• Shape the Future: Make a real difference in the pharmaceutical industry while advancing your career.

How to apply

Are you ready to play a key role in shaping the future of pharmaceutical solutions? If you're passionate about making an impact, we want you on our team!

Please submit your resume, outlining your qualifications and experience relevant to the role, here.

Job Summary

Role: Machine Learning Engineer

Start: ASAP

Duration: 12 Months

Location: Singapore

We are seeking an experienced Machine Learning Engineer with 10+ years of overall experience and at least 6 years of relevant experience in Machine Learning Engineering, Data Engineering, and Big Data platforms. The ideal candidate will be responsible for designing, developing, and optimizing large-scale data and machine learning systems that support real-time and batch processing workloads across enterprise environments.

This role requires strong expertise in the Hadoop ecosystem, distributed data processing, machine learning operationalization, and scalable data platform development. The successful candidate will work closely with Data Scientists, Data Engineers, and Platform Teams to build robust data ingestion frameworks, operationalize machine learning models, and deliver high-performance AI-driven solutions capable of processing structured, unstructured, and multi-modal data.

Requirements:

- Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.

- Minimum 10 years of overall software, data engineering, or platform engineering experience.

- At least 6 years of hands-on experience in Machine Learning Engineering, Big Data Engineering, or Data Platform Development.

- Strong expertise in Hadoop ecosystem technologies (Apache Spark, Apache Hive, Apache Kafka, Apache Flink, Apache NiFi, Apache Iceberg, etc.)

- Strong programming experience in Java and/or Python.

- Extensive experience developing data ingestion, transformation, and processing frameworks.

- Hands-on experience with batch and real-time data processing architectures.

- Strong understanding of distributed computing, scalable data platforms, and high-volume data processing systems.

- Experience operationalizing machine learning models using platforms such as Cloudera Machine Learning (CML), Spark MLlib, or equivalent ML platforms.

- Experience with machine learning libraries such as scikit-learn, XGBoost, and related Python-based ML frameworks.

- Strong proficiency in shell scripting and automation.

- Experience performing performance tuning and optimization of Hadoop-based applications and clusters.

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

- Experience working within Agile development environments.

Roles and Responsibilities:

- Design, develop, and maintain highly scalable real-time and batch processing systems using Hadoop ecosystem technologies including Spark, Kafka, Flink, Hive, Iceberg, Trino, NiFi, Ranger, and Ozone.

- Build and enhance robust data ingestion, transformation, and processing frameworks capable of handling structured, semi-structured, and multi-modal data sources including image, audio, video, and unstructured documents.

- Develop scalable data pipelines using Java, Python, Spark, and shell scripting to support enterprise data and AI workloads.

- Collaborate closely with Data Scientists to deploy, operationalize, monitor, and maintain machine learning models in production environments.

- Utilize Cloudera Machine Learning (CML) and related ML platforms to support model lifecycle management and deployment.

- Design and implement data engineering solutions that support both real-time streaming and large-scale batch processing requirements.

- Develop internal engineering tools, automation solutions, and full-stack applications using Python and modern web frameworks such as Flask and React.

- Perform performance tuning, optimization, and troubleshooting of Hadoop-based applications and distributed data processing systems.

- Monitor system performance, resource utilization, and platform stability while implementing improvements to maximize efficiency and scalability.

- Ensure adherence to data governance, security, and access control standards using tools such as Apache Ranger.

- Participate in architecture reviews, technical design discussions, and platform modernization initiatives.

- Support CI/CD implementation, deployment automation, and operational excellence practices for machine learning and data engineering workloads.

- Stay current with emerging technologies, machine learning frameworks, and big data platform innovations.

Please send your application highlighting:

- Your relevant experience

- Current/expected salary

- Availability information

- A latest MS-WORD Resume

**We regret that only short-listed applicants will be contacted.**

GECO Asia values the data privacy rights of our customers, associates, partners and prospective applicants. We have a privacy policy that governs our collection and use of personal data in place. In conjunction with the PDPA act in Singapore, we have updated our Privacy Policy and Terms of Use to better clarify our collection and use of your personal information. The same can be found here (https://www.geco.asia/about/privacy-policy)

Note: GECO Asia is an Information Technology Consulting Services provider. We provide specialist IT and Digital Transformation specialist resources on a project (SOW) and/or permanent basis. We operate under a Comprehensive License offered by Ministry of Manpower, Singapore.

[GECO Asia Pte Ltd, License No. 07C4453]

[2 Venture Drive, #10-18 Vision Exchange, Singapore 608526]

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 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

Your role

You will join the Maintenance Section to upkeep the manufacturing plants equipped with latest technology and advanced engineering control, and support the Maintenance Manager in accomplishing corporate business objectives.

Your responsibilities

• To manage maintenance and instrumentation activities for facilities in the manufacturing plants for safe and smooth operations.
• To coordinate and execute major field maintenance works with no compromise to safety of workers and integrity of facilities.
• To liaise with internal and external business units on maintenance activities to ensure timely completion of maintenance works and no disruption to plant operations.
• To carry out instrumentation application study and modification of plant facilities according to technical specification and business requirements.
• To conduct and arrange training for staff and contractor to enhance their skill and competency levels.
• To implement management systems based on standards stipulated under ISO 9001, ISO14001 and SS651.
• To respond to plant emergency calls and resolve plant instrumentation troubles within tight schedule.

Your background and competencies

• Possess a Degree in Instrumentation or Electrical & Electronic Engineering.
• Have3 - 5 years of experience in operation and maintenance of instrument facilities in refinery, chemical, power or construction industries.
• Knowledge on Process Gas Chromatograph (PGC), Distributed Control System (DCS) would be a plus.
• Essential prerequisites include good analytical & problem-solving skills, ability to communicate with staff in different functions & contractors, and strong spirit of collaboration & team-work.
• Proficient in Microsoft Office applications and has basic knowledge in SAP applications will be advantageous.

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 Wingfin

Wingfin develops autonomous driving systems. Our mission is rooted in accessibility: human-like autonomy for safe, cost-efficient, real-world scalability. By leveraging cutting-edge deep learning and end-to-end neural networks, Wingfin is redefining the landscape of self-driving technology. We are building a practical, cost-efficient platform that brings safe autonomy to every vehicle on the road. Headquartered in Singapore, the company boasts an international team of multi-talented experts. We are looking for talented and motivated individuals to join our team either in Singapore or Malaysia.

The Role

This is a full-time, on-site role located in either Singapore or Kuala Lumpur for a Machine Learning Engineer (Autonomy). At Wingfin, our deep learning models provide the foundation for safe, reliable driving. However, the real world is full of "long tail" events—unstructured construction zones, complex hand signals from a traffic officer, or unique local maneuvers. While the vast majority of driving events are handled autonomously by our models with a high degree of safety and precision, remote takeover provides additional support to the models to handle extremely complex situations.

As a Machine Learning Engineer (Autonomy), you will focus on the "intelligence gap" during takeover. When a human enters the loop, they need to gain situational awareness in a fraction of a second. You will develop distilled world models—efficient, high-level representations of the vehicle’s environment—that provide predictive guidance to remote operators. These models will highlight intent, predict trajectories, and surface the most critical information, enabling humans to make complex decisions at superhuman speed.

Key Responsibilities

You will be working on the following:

1. Build and maintain models to enable remote operators to make complex decisions at superhuman speed.
2. Collaborate with remote operators and control engineers to improve the collaboration experience.

About You

You will require the following skills to be successful in this role.

Essential

1. 5+ years of experience in ML development.
2. Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field.
3. Strong experience in python programming language.
4. Strong experience in working with machine learning frameworks such as Pytorch, Tensorflow and Keras.
5. Excellent communication skills

Desirable

1. Experience working with automotive or robotic systems.
2. Experience developing UI for safety critical applications.

Will be part of Operation & Support Team to support Project implementation and Maintenance.

The key responsibilities are as below:

Job Description:

Project:

• Support Project Team in Project implementation
• System setup, configuration and testing
• Perform any other duties as assigned.

Maintenance:

• Perform CUAS Preventive and Corrective maintenance works at restricted Areas.
• Provide support services in operation exercise.
• Perform functional check and/or repair on testers and unit under Test.
• Perform any other duties as assigned.
• Provide technical support to resolve hardware and software related problems on network and cyber systems.

Requirements:

• NITEC / Higher NITEC / Diploma in Mechanical, Electronics or Computer Engineering
• Fresh graduate are welcome to apply
• Experience in Electronics, PCB-related, electrical & networking would be advantageous.
• Some knowledge in cyber and network systems is a plus.
• Able to work over the weekend and standby for fault call if required
• Able to interpret schematics, technical manual and drawings for maintenance works.
• Ability to use analytical skills and a "hands-on" person.
• Good interpersonal skills, proactive and work well with others.
• Possess class 3 driving license will be advantageous.

Interested candidates can click on 'Apply' or send updated resume to joreen.pak@trd.sg or victor.low@trd.sg

We are regret that only shortlisted candidates will be notify.

Job Objective:
Design and deliver scalable real-time data and machine learning solutions by building robust ingestion and transformation frameworks across Hadoop ecosystems. Enable end-to-end ML model operationalization and performance optimization, while supporting multi-modal data processing and development of engineering tools and applications.

Responsibilities:

•  Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)
• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.
• Develop fullstack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).
• Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).
• Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.

Requirements:

• Experience working with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikitlearn, XGBoost), including model deployment.
• Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)
• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.
• Develop fullstack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).
• Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).
• Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.

Our esteemed client in the Management Consulting industry is seeking a Maintenance/ Operations Executive to join their dynamic team:

• Employment Type: Permanent
• Position: Maintenance/ Operations Executive
• Location: Northeast
• Working Hours: Monday to Saturday, 9am to 6pm
• Salary Package: Up to $4,200 + AWS + Performance Bonus

Job Responsibilities:

• Handle daily operations and site coordination for car wash machine systems
• Perform hands-on troubleshooting, repair, and basic servicing of machines
• Carry out preventive maintenance to ensure smooth operations and reduce downtime
• Support machine installation and on-site setup work when required
• Coordinate with technicians, suppliers, and contractors on maintenance works
• Attend to site issues and resolve operational or machine faults promptly
• Keep basic maintenance records and report issues to management
• Ensure safety practices are followed at work sites

JobRequirements:

• Experience in at least one of the following: Car wash machine / equipment servicing, Mechanical & Electrical (M&E) work, Fuel systems / pumps / industrial equipment maintenance
• Hands-on experience in troubleshooting and repairing machines
• Able to work independently and handle site-based work
• Proficient in MS Office (Excel & Word)
• Possess Class 3 driving license is an advantage
• Able to start immediately or in short notice would be preferred

Ready to apply? Here’s how: 

• Click the APPLY button, or 
• Email your resume (in MS Word or PDF format) to adelin@intuitrecruitment.com. Include the job title in your email subject line for prompt processing. 

Only shortlisted candidates will be notified. 

By submitting your application, you consent to the collection and use of your personal data under Personal Data Protection Act (PDPA). 

Adelin Chong | EA Personnel Reg No.: R1875641 

Intuit Recruitment Pte Ltd | EA License No.: 25C2793 

Responsible  for driving wire bonding equipment performance and reliability to meet production targets. The role focuses on improving Overall Equipment Effectiveness (OEE), and minimizing unplanned downtime (UDT). This includes planning maintenance strategies, leading troubleshooting activities, and collaborating cross-functionally to ensure stable and efficient equipment operation.

Key Responsibilities

• Drive and improve equipment performance metrics (OEE, MTBC, UDT)
• Lead troubleshooting and root cause analysis for equipment-related issues
• Plan and optimize preventive maintenance strategies and schedules
• Monitor equipment performance trends and drive improvement initiatives
• Collaborate with production, process, and vendors to implement effective solutions
• Coach and guide technicians on technical problem-solving and best practices

• Position: Electrical Technician / Engineer (AutoCAD)

• Location: Changi North Street

• Working hours: 5 days work week (Monday - Friday) - 8.00am to 5.30pm

• Salary (commensurate with experience): Up to $4500 + Performance Bonus

• Duration: Permanent

• Industry: Engineering and Manufacturing

Main Responsibilities:

• Prepare electrical layout drawings and Bills of Materials (BOM).

• Generate and maintain project documentation, including Work Orders, Design & Development Discussion Forms, and other related records.

• Coordinate and monitor project progress with the production team to ensure timely delivery and product quality.

• Support project planning, execution, and implementation activities.

• Ensure projects are completed in accordance with customer requirements, specifications, and quality standards.

• Provide technical support and resolve engineering-related issues when required.

Requirements:

• Diploma or Degree in Electrical Engineering or a related discipline.

• At least 1 years of relevant working experience in the electrical engineering field.

• Proficient in AutoCAD drafting and interpretation of engineering drawings.

• Able to work independently and as part of a team.

• Possess a valid Class 3 driving licence.

Send your resume via Email to Jane@searchpersonnel.com.sg

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Join us on LinkedIn: www.linkedin.com/company/search-personnel-pte-ltd

***We do not charge our candidates any referral fee nor bind them with any contract.***

Jane Chua

Deputy Consulting Director (APAC)

License no: 13C6684

EA Personnel: R2197224

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

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 that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.