Total 408 system engineer job vacancies in Maintenance / Repair category in Singapore

Required Skills

• Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges.
• Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Create multi-agent systems and equip AI models with function/tool-calling capabilities
• Design and implement RAG systems to ground AI responses in enterprise data
• Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability
• Optimize agentic workflows and AI agents for production use cases
• Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs
• Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them
• Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:

• Contribute to the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
• Connect and drive business impact through technology solutions
• Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
• Optimize perception algorithms for real-time performance on embedded hardware
• Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
• Productionize and deploy solutions onto autonomous vehicle fleets
• Derive good insight from large data sets from a variety of sources
• Mentor and guide junior engineers on the team

What We're Looking For:

• Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Excellent communication and interpersonal skills
• Experience mentoring and leading others

Preferred, but not required:

• Strong programming skills in C++ and/or CUDA programming
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with launching ML products from ideation
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Experience in deploying models into real-world environments

[Job ID: 1632649]

Responsibilities:

• Assist in troubleshooting and repairing production systems and equipment under supervision.
• Support project documentation by preparing presentations, charts, graphics, and drawings.
• Source and requisition components and supplies; liaise with vendors on pricing and product information.
• Coordinate with external contractors on scheduled and ad-hoc maintenance activities.
• Maintain proper documentation, inventory of equipment, tools, and spare parts.
• Perform emergency and scheduled maintenance of production equipment during operations and shutdowns.
• Identify and analyze safety risks and hazards to ensure compliance with regulations and standards.
• Support the implementation and maintenance of the company’s ISO certification program.

Requirements:

• Minimum Diploma in Mechanical/Electrical Engineering or related fields.
• Minimum 2 years of experience in a plant operations environment.
• Prior experience in a supervisory or leadership capacity is an added advantage.
• Good knowledge of wiring diagrams and PLC systems.
• Proficient in Microsoft Word and Excel.
• Willing to work on weekends when required.

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities.

Please kindly refer to the Privacy Policy of Good Job Creations for your reference: https://goodjobcreations.com.sg/en/privacy-policy/

EA Personnel Name: Felicia Chiam Kar Min
EA Personnel Reg. No.: R25152370
EA Licence No.: 07C5771 

Job Overview:

We are seeking an experienced Instrumentation & Control (I&C) Engineer. The role is responsible for the installation, calibration, maintenance, and troubleshooting of instrumentation and control systems critical to safe and efficient offshore operations.

Key Responsibilities:

• Install, commission, and maintain instrumentation and control systems onboard offshore facilities and vessels
• Perform calibration, loop checking, and functional testing of sensors and control equipment (pressure, temperature, flow, level, etc.)
• Troubleshoot faults in PLC, DCS, SCADA, and control systems
• Support electrical and automation systems including switchboards and control panels
• Ensure all work is conducted in compliance with HSE standards, permit-to-work systems, and offshore safety procedures
• Monitor and optimise system performance, identifying areas for improvement and reliability enhancement
• Support project activities including mobilisation, offshore campaigns, and demobilisation
• Prepare and maintain documentation including maintenance logs, calibration records, and technical reports
• Interface with project teams, client representatives, and other offshore disciplines
• Assist with FAT/SAT, commissioning, and system integration activities

Job Description

We are looking for an Assistant Maintenance Engineer to join our team! This is a great entry-level role for those looking to start their career.

You will assist with the daily maintenance and servicing of semiconductor automation equipment (such as robotics, controllers, and aligners).

Key Responsibilities

* Assist in the routine maintenance, cleaning, and simple repair of equipment and components (robotics, controllers, etc.) in our workshop.

* Follow senior engineers to customer sites (Wafer Fabs) within Singapore to assist with equipment installation, setups, or simple troubleshooting.

* Service and support local wafer fab customers and industry partners within Singapore.

* Flexibility to work overtime on weekdays or weekends occasionally to support customer emergency requests (overtime pay provided).

Requirements

* No prior work experience required! Open to all beginners.

* Graduates or students from Engineering, Mechanical, or any technical-related fields are welcome to apply.

* Welcome evening / part-time students! We can coordinate and adjust working hours to match your school schedule.

* Must be comfortable entering the cleanroom and wearing full cleanroom attire (bunny suit) at customer sites.

* Basic Mandarin proficiency (spoken and written) is required, as the role will need to liaise with our regional team and support customers from Singapore, China, and Taiwan, including handling technical cross-referencing of manuals.

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

Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter.

Role Overview

As a ML Quality Assurance Engineer at Derq, you will play a critical role in ensuring the reliability, accuracy, and performance of our computer vision and machine learning based products. You will work closely with our development team to design and execute comprehensive test strategies, identify and report defects, and help improve the overall quality of our customer facing AI products, using data analytics.

Key Responsibilities

• Collaborate with AI development and product teams to understand product requirements and design effective test plans and test cases for AI based products
• Strategize evaluation methodologies, gathering data and evaluation reporting
• Perform data analytics on large datasets
• Monitor and track anomalies within product’s content and statistics
• Train and deploy ML models to help boost product performance
• Create and maintain detailed documentation of test processes, methodologies, and findings
• Keep up to date with advancements in the field to optimize internal processes and workflows
• Interface and coordinate with Engineering team
• Foster a collaborative, proactive team environment that values shared success.

• Bachelor’s degree in an analytical domain such as Machine Learning, Computer Science, or a related discipline

• Python, Javascript and SQL Knowledge/Experience
• Familiarity with classical Machine Learning Models such as Random Forest, SVM, Naive Bayes
• Core understanding of mathematical concepts for statistical inference
• Hands on with spreadsheet based querying and analytics
• Proficient with annotation tools such as CVAT
• Excellent knowledge of word processing tools and spreadsheets (MS Office Word, Excel etc.)
• Good command of English both oral and written and reporting skills
• Knowledge of basic statistical principles coupled with logical thinking, coherent reasoning and a detail-oriented attitude

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:

- Lead a team to manage Maintenance, Repair & Overhaul (MRO) activities (ie. Preventive maintenance/Corrective maintenance) for a fleet of Armament systems and ensure it’s performed on schedule

- Responsible to ensure contractual monthly performances of Armament systems is met

- Required to prepare Service report, indentation of spares and coordination of works with customers and internal stakeholders

- Liaise between customer and management to ensure smooth operations delivery.

- Drive continuous improvement in work processes and ensure 5S are performed in the workshop

Job Requirements:

- Degree in Engineering field, prefer Electrical/ Mechatronics/ Mechanical Engineering

- Knowledge in SAP and military armament systems will be preferred

- Highly motivated individual who is able to work independently and lead a team

- Preferably candidate to possess class 3 driving license

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

Job Summary

Senior AI / Machine Learning Engineer will build, train, and optimize machine learning models for content understanding, ranking, and scoring. You will transform research concepts into robust, production-ready ML pipelines and maintain high-quality code to drive impactful AI solutions.

Responsibilities

• Implement deep learning models for video, image, audio, or text using modern frameworks to enhance content understanding and ranking capabilities
• Develop and maintain training and evaluation pipelines, including data loaders, augmentations, and metrics, to ensure reliable model performance
• Design and execute experiments, tune hyperparameters, and optimize models for latency and accuracy to meet production requirements
• Collaborate with backend engineers to deploy models via scalable APIs and services, enabling seamless integration into production systems
• Monitor model performance in production environments and design retraining and improvement loops to sustain and enhance model effectiveness
• Contribute to the development of ML tooling, experiment tracking systems, and comprehensive documentation to support team productivity and knowledge sharing

Required competencies and certifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
• 4–7+ years of experience as an ML Engineer, Applied Scientist, or equivalent role
• Proficiency in PyTorch or TensorFlow and common machine learning libraries to develop and optimize models
• Experience in at least one domain: computer vision, video processing, speech/audio processing, or natural language processing (NLP)
• Strong understanding of model optimization techniques such as quantization, pruning, distillation, and batching to improve model efficiency
• Familiarity with GPU training, distributed training, and cloud-based ML workflows to support scalable model development
• Strong coding skills in Python and solid grasp of software engineering best practices to produce maintainable and efficient code

Preferred competencies and qualifications

• Master’s degree in Machine Learning, Artificial Intelligence, Data Science, or related field preferred but not mandatory with sufficient experience
• Experience with MLOps tooling such as MLflow or Weights & Biases (W&B) to streamline model lifecycle management
• Background in Kaggle competitions or similar machine learning contests demonstrating practical problem-solving skills
• Prior experience working in startup environments, contributing to fast-paced and innovative projects

Responsibilities:

• Coordinate the routine PM, Cal and ad-hoc repair of equipment (fridges, freezers, stability chambers, incubators, ovens, isolators, etc) with corresponding vendors.
• Collaborate with field service engineers to troubleshoot equipment issues and ensure equipment remain in a qualified state after repairs, software updates, or relocation.
• Generate comprehensive and audit-ready documentation for all GMP activities, ensuring compliance.
• Conduct checks to verify equipment functions according to manufacturer specifications and user requirements.
• Train laboratory staff on the proper use of qualified equipment and associated standard operating procedures (SOPs).
• Support internal and external audits by providing documentation and technical expertise related to equipment maintenance.
• Manage equipment alarms timely and determine root cause of alarms.
• Analyze alarm trends and take proactive actions to maintain equipment in healthy state.

About You:

• Bachelor degree in a relevant scientific field(e.g., Chemistry, Biology, Biomedical Engineering, or related discipline). 
• Min 3 years of relevant experience in pharma or biotech facilities. 
• Knowledge of current Good Manufacturing Practices (cGMP) and Good Documentation Practices (GDP) in a pharma or biotech facility 
• Good interpersonal, communication and presentation skills. 
• Must be a self-starter, fast learner, curious with strong analytical and organizational skills
• Self-motivated and willingness to learn 
• Reliable and Responsible

Contract: 12 months, subject to renewal based on performance

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)