Total 368 electronic engineer job vacancies in Maintenance / Repair category

Responsibilities:

• Responsible to lead in the investigation of Bench/Equipment failures.

• Responsible for the setting-up of means and tools required for multiple pilot, repair and production lines with adequate support from the Central Engineering Team.

• You will be responsible to conduct and support the necessary interfaces, technical negotiation, follow up on supplier realisation and managing of installation.

• Play an active role in the specification and localizing of test benches and tools as well as establishing the necessary maintenance strategies and contracts.

• Required to lead and propose improvement and investment plans.

• Responsible for implementation and maintain cybersecurity rules on the test benches and means.

• Contributes to establish standards, procedures and guidance helpful to the Operation.

• Participate in migration process of benches on the industrial network, backup policy and is the entry point for cybersecurity incident response and actions deployment on industrial means.

Requirements:

• Degree/Diploma in Electrical, Electronic Engineering

• Knowledge in Cybersecurity network implementation on test benches and means will be an advantage.

• Industrial experience in high technology production, especially in new equipment setup and repair environment is an added advantage

• Min 3-5 years of Equipment engineering experience with some Project Management experience is an added advantage

• Understanding of engineering drawings, schematics, tool/bench drawings and other technical documents Knowledge in RF or Test Software Engineering, TPM, implementing and utilizing GR&R for equipment performance/trending is an added advantage

• Hands on experience with installation and commissioning of equipment/tools

• Ability to lead, recommend and implement best practices and improvements to ensure a high level of quality and consistency

• Ability to work in a system-software integrated test bench environment

• Able to support shift work (Afternoon shift & night shift & weekend shift)

Other information:

• Working Location: Changi

• Working Hours: Monday - Friday, 9am - 6pm

• Able to support shift work (Afternoon shift & night shift & weekend shift)

 Supervise, guide, and inspect the on-site installation, testing, and pre-commissioning of all field instruments.

• Manage the site acceptance testing (SAT), QA/QC inspections, and final handover/acceptance of instrumentation systems.

• Review technical drawings, data sheets, and vendor documentation to ensure alignment with process plant requirements.

• Act as the technical point of contact for PLC/DCS integration and troubleshooting.

• Coordinate closely with clients, subcontractors, and vendors to resolve technical issues promptly.

Requirements:

• Process Plant Expertise: Solid understanding of process plant operations, piping & instrumentation diagrams (P&IDs), and safety layouts.

• Control Systems: Proficient in PLC (Programmable Logic Controllers) and DCS (Distributed Control Systems) architectures.

• Equipment Knowledge: Thorough familiarity with field instrument equipment (valves, transmitters, flowmeters, Esd Valve, etc.).

• Site Execution: Proven track record in managing on-site instrument installation, inspection, and formal project acceptance.

•  Other Skills: Technical reporting, documentation, and cross-border client coordination.

• Background: Good in Instrumentation, Control, or Electrical Engineering, with prior experience in large-scale Oil & Gas / LNG EPC projects.

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.

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

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

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

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.

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.

Oversee preventive and corrective maintenance on machinery, equipment, and facility systems to ensure smooth operations.

Supervise troubleshooting of mechanical and electrical issues and carry out repairs in a timely manner to minimize downtime.

Conduct routine inspections and maintenance checks on production equipment and tools.

Assist in equipment installation, testing, and maintenance documentation as required.

Follow workplace safety procedures and maintain proper housekeeping standards within the work area.

RecruitFirst is hiring!
You will be outsourced/deployed to our client!

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