Total 1,385 product engineer job vacancies in Maintenance / Repair category in Singapore

• To plan and execute corrective/preventive maintenance on facility equipment and production equipment to ensure good efficiency and availability.
• Implement TPM program in HPSL such as autonomous maintenance and critical spare part management.
• Engage external equipment vendor for service contract and ad hoc diagnostic or corrective maintenance activities.

Support safety and EHS related activities and audits.

Description of Responsibilities and Duties

1. Plan and execute corrective/preventive maintenance on facility equipment and plant equipment to ensure good efficiency and availability. Generate equipment and facilities related records/reports/ documentations on above activities.
2. Implement TPM strategy. Responsible for tracking machinery spare parts usage, maintaining adequate quantity, critical parts requirement, spare parts management, continuous improvement, and ISO audits.
3. Support EHSS related topics, ensure site is in full compliance with Environment, Health and Safety (EHS) and Security regulation and policy.
4. Resolve various equipment performance issues internally before approaching equipment vendor. Review equipment log and technician feedback for quick solutions.
5. Liaise and co-ordinate jobs to be performed by contractors for facilities and plant equipment. Ensure work completion and achieve high standard of work.
6. Perform site EHSS inspection/audits and ensure that all corrective / preventive actions are close in timely manner. Responsible for internal/external audits and EHSS activities.
7. Interpret electrical diagrams and mechanical drawings for equipment troubleshooting with at least 3 years hand-on experience
8. Evaluate existing/new contractors’ performance and negotiate with them on quotations and service level.

Knowledge:

• Hands on experience in mixer and milling equipment maintenance is an advantage.
• Knowledge in TMP, Equipment FMEA is an advantage.
• Knowledge in facilities maintenance (Electrical, water, AC) is an advantage.
• EHS competence, familiar with ISO45001 & ISO14000 is a plus.

Skills:

• Able to read electrical, hydraulic, pneumatic and mechanical diagrams and carried out maintenance work accordingly.
• Lead and guide technicians on above work.

Abilities:

• Operational hands-on experience
• Work under pressure and multi-tasking.
• A good team player and have good interpersonal skills
• Safety conscious

Education:

Degree/Diploma in Mechanical Engineering or equivalent

Experience:

• Minimum 5 years of relevant working experiences
• Experience in chemical and mechanical process

Competencies:

• Fast Learner
• Willingness to learn
• Self-Initiative
• Team Spirit
• Self-responsibility
• Physical Fit

Working Conditions:

Chemical Production Environment. A skin allergy/blood count medical test may be required as part of the employment medical checkup.

We are looking for an Instrumentation Engineer with minimum 5 years experience who would have the following experience/knowledge/qualities:-

• Familiar with local and international instrument and panel installation standards
• Hands on experience in calibration of instruments
• Able to Perform Loop checks
• Coordinate with Project Team to execute the works including scheduling of works for the team.
• Self-motivated individual able to lead a team of supervisors and Technicians independently.
• Project progress monitoring & updating to Project Manager.
• Able to communicate and present to client on project status etc.
• Able perform Bid Estimation and submission.
• Able to perform material take off from project drawings (e.g Hook up drawings, P&ID, Instrument index, I/O list etc)
• Proficient in MS Office (e.g Excel, Word & Power Point)
• Working experience in “Live” Process plants is an added advantage

Key Responsibilities:

• Perform routine maintenance on security systems (CCTV, access control, alarms, etc.).
• Provide 24x7 standby support for emergency system issues and breakdowns.
• Troubleshoot and repair security hardware, software, and network components.
• Assist with installation and setup of new security systems.
• Document all maintenance activities and system performance.
• Conduct preventive maintenance to minimize downtime.
• Ensure compliance with safety standards and regulations.

Requirements:

• 2–4 years in maintaining security systems products (CCTV, access control, alarms).
• Hands-on experience with security systems maintenance.
  Knowledge of networking and system configurations.
  Ability to troubleshoot and repair electrical/electronic systems.
• Willing to work 24x7 shifts and be on-call.
• Relevant security or networking certifications (optional).

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

Roles and responsibilities of Instrumentation Engineer

• Execute operational activities of the project within the timeframe, resources, and contract specifications
• Lead and execute the geotechnical instrumentation installation and monitoring works
• Assist the SIE/PM to ensure the smooth delivery of the project
• Involve in the preparation and submission of drawings, reports, and relevant documents to stakeholder
• Plan daily site activities, monitor project progress and work done quantity
• Ensure works are in accordance with drawing requirements. Ensure good quality of work including calibration of monitoring equipment
• Obtain any authorities’ or in-house clearances before work commencement
• Coordinate with the main civil contractor on the daily site works. Handle subcontractors’ activities (if any)
• Involve in geotechnical instrumentation testing, data acquisition, data verification and processing
• Prepare, review, and submit the instrument monitoring report
• Attend project meetings and inspections. Resolve site operation issues
• Ensure good recordkeeping. Assist in the preparation of progress claim
• Comply with internal and external WSHE requirements in the course of work
• Other duties as may be assigned on a need basis

• Traveling to client locations for equipment inspection.
• Inspecting equipment and conducting routine maintenance.
• Servicing and replacing old or faulty equipment.
• Troubleshooting equipment malfunctions.
• Removing old equipment and installing new machines.
• Proving technical support and training on new equipment.
• Responding to customer call-outs.
• Adhering to all safety and performance regulations.

Maintenance Engineer Requirements:

• Bachelor’s degree in mechanical or electrical engineering.
• Proven work experience as a maintenance engineer.
• Knowledge of EPA and OSHA guidelines.
• Advanced knowledge of mechanical, electrical, plumbing, and heating systems.
• Ability to read system schematics.
• Advanced troubleshooting skills.
• Understanding of safety and equipment procedures.
• Good communication and training skills.
• Ability to work with heavy equipment.

• Good understanding of M&E infrastructure.
• Supervise preventive maintenance activities and ad-hoc works orders on mechanical, electrical, and other installed M&E systems and ensure timely and quality work.
• Experience working in critical M&E facilities or experience in ACMV, electrical or fire systems will be an advantage.
• Able to carry out impact assessment during system fault and technically sound to contain fault to ensure M&E system service continuity.
• Ensure proper escalation in accordance with incident escalation process.
• Carry out work in accordance with site processes and requirements.
• Proactively look out for site abnormalities and possible areas of improvement, recommend solutions and put-up proposal to Supervisor.
• Able to review SOPs, MOPs and EOPs.
• General facilities duties, including monitoring of equipment and report on daily condition.
• Occasionally perform simple repair work such as lamp replacement or door repair.
• Any other duties assigned by Site Supervisor / Engineer Lead.

• Flexible with 24x7 rotating shifts.
• Experience in data centres facilities management will be an added advantage

Overview:
We are seeking a skilled Computer Vision / Machine Learning Engineer to join our team in video analytics. The ideal candidate will have expertise in computer vision, machine learning, and robotics, with experience in 3D vision, multi-sensor integration (e.g., LiDAR, radar), deep learning optimization, and real-time deployment.

Key Responsibilities:

• Design and implement advanced computer vision algorithms for video analytics.
• Develop and optimize ML models for real-time object detection, classification, and tracking.
• Preprocess, augment, and calibrate multi-sensor data (e.g., video, LiDAR, radar) to enhance model performance.
• Apply MLOps practices like active learning to improve model accuracy and efficiency.
• Collaborate with cross-functional teams to meet project requirements.
• Document processes, experiments, and results for knowledge sharing and external presentations.
• Conduct experiments to validate new techniques and present findings.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience in computer vision, machine learning, and multi-sensor calibration, ideally in robotics with a focus on 3D vision.
• Proficiency in Python or C++, with experience in OpenCV, TensorFlow, or PyTorch.
• Knowledge of deep learning optimization and deployment tools (CUDA, TensorRT, DeepStream, Triton).
• Strong problem-solving skills and attention to detail.

Company’s Profile

Our client is an international technology and engineering company that specialises in providing innovative digital and security solutions to their esteemed clients. They are well-known for their dedication of quality delivery standards with thousands of engineers globally supporting projects. They have an international presence worldwide and are looking out for Maintenance Engineers to join their team and contribute to their ongoing success.

Location: Ang Mo Kio

Working hours: Monday to Friday, Standard Office Hours (Occasionally require standby after office hours)

Responsibilities:

• Perform corrective maintenance works for Card Access System, CCTV System, Networks, Windows/Linux Servers and Integrated Security Systems.
• Ensure that deployed system functionalities are in working condition.
• Provide onsite support for integrated security systems
• Perform routine maintenance, software enhancement, bug fixes, testing and commissioning to meet contractual requirements.
• Collate reports and checklist of PM works for billing purpose and CM works report for filing.
• Monitor spare parts availability to support and meet downtime of system.
• Monitor the end-of-life or end-of-service for equipment installed.
• Co-ordinate with sub-contractors and customer on site matters, work schedule and quality of work.
• Support contract administration works (Ordering, billing milestone, O&M submission, Operation Manual submission, maintenance checklist and asset list).
• Assist A&A work/ Variation Order work for sites during maintenance cycle

Requirements:

• Min. 2-3 years working experience in maintenance for security systems and servers
• Min. NITEC in Building Maintenance / Engineering fields
• Proficient in troubleshooting for CCTV, Door Access and Alarm systems
• Have performed 24/7 standby work before

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

• West Singapore
• 5 days work week
• Basic up to $4k
• AWS

Key Responsibilities:

• Facility Maintenance: Oversee and perform preventive and corrective maintenance of building systems, including HVAC, electrical, plumbing, and fire safety.
• Operational Efficiency: Ensure facilities operate efficiently by identifying and implementing improvement initiatives.
• Compliance & Safety: Ensure all facilities comply with health, safety, and environmental regulations.
• Vendor Management: Coordinate with contractors and service providers for repairs, installations, and maintenance activities.
• Project Management: Manage facility upgrade or renovation projects, ensuring timelines and budgets are adhered to.
• Documentation: Maintain accurate records of maintenance activities, inspections, and equipment servicing.
• Emergency Response: Address facility-related emergencies promptly and effectively to minimize disruption.

Requirements:

• Diploma / degree in Facilities Management, Engineering, or a related field.
• Proven experience in facilities management or engineering, preferably across multiple types of facilities.
• Strong knowledge of building systems and maintenance best practices.

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Chong Kar Ming (John) (R21101412)

Job Highlights

• Permanent Position / MNC/ Near Woodlands MRT/ Urgent Hiring!!
• Afternoon Shift (Monday to Friday: 3pm – 11pm, Sat: 1pm - & 7pm)
• Afternoon Shift allowance
• AWS bonus, Annual Leave,Medical Benefit, Dental Benefit

Our client is a global advanced precision engineering & manufacturing solutions provider.

Responsibilities

• Responsible for all automation related activities of the product.
• Responsible for the Maintenance and Repair of production automated machines.
• Optimise automation parameters and meeting specific cycle time for existing and new products.
• To provide timely support to ensure efficiency of production machines & equipments are met.
• To work with respective department on product quality issues.
• Initiate containment plan and implement effective long term plan on quality related issues
• Attend to all daily quality and process related issues.
• Execute process validation for new and existing products with tooling and quality personnel.
• Continuous Improvement to enhance quality and productivity through automated processes
• Perform internal quality system audit.
• Train and assess production staff on processes and product where applicable.
• Attend routine production and quality meetings
• Execute engineering change notice from customer.
• Analyze quality data collected periodically and provide recommendation to management for improvement

Requirements

• Degree/Diploma in Engineering-related discipline, preferably Mechatronics
• Knowledge in ISO9001, ISO13485, TS16949, familiar with FMEA
• Results-oriented, meticulous and a self-motivated team player

Interested candidates, please e-mail resume in Word document (indicating your current salary and expected salary) to:

Ryan Tan (EA Reg. no.: R23116422)

Recruitment Manager

Right Recruit Pte. Ltd.

10 Anson Road, #33-03, International Plaza, Singapore 079903

EA Licence No: 23C1743

[email protected] I www.rightrecruit.com.sg

Responsibilities

• Ensure machine learning models and data pipelines are deployed successfully
• Develop and maintain backend services for data and machine learning
• Optimised manage databases
• Deploy applications to AWS cloud, leveraging on the full spectrum of AWS cloud services
• Automate model training, testing and deployment using CI/CD
• Understand and implement metrics to verify effectiveness and soundness of the machine learning model

Requirements

• Degree holder
• At least 5 years experience
• Hands-on working knowledge in:

o Python (Pandas, Pytorch)

o AWS, CI/CD, Dockers

o Databases

Preferred Requirements

• Previous work experience in Investment Banking companies
• Hands-on knowledge in AWS Machine Learning, Dogster, Airflow

• Location: Tuas
• Working Days: 5 days (Mon-Fri)
• Working hours : 7:30am to 5:15pm
• Salary Range: $3000 - 4000

Job Responsibilities

• Monitor the machines and company equipments operational performance and condition
• Conduct preventive maintenance to machine and company equipments as per schedule
• Review and update all existing machine maintenance documents
• Prepare and design the spare parts for machines and company equipments
• Report any unsafe conditions and practices to Production Manager
• Assist of production and purchasing department of manufacturing / purchasing spare parts
• Monitor spare parts stock level and raising purchase order
• Managing, delegating and training the maintenance group
• Involve in the implementation and continuous maintenance of HSE Management System
• Perform any other duties assigned by the Production Manager

Accountable

• Meeting department quality objectives
• Ensure maximized machine uptime
• Ensure planned preventive maintenance is carried out effectively to minimize machine down time
• Ensure sustainable continuous improvement initiatives are carried out on machine, equipment and facilities

Job Requirements

Skill Requirements

• Knowledge of precision machining machineries, equipment and facilities
• Knowledge of repair and maintenance on machineries and equipment
• Knowledge of Environment, Health & Safety

Education, Experience & Training

• Diploma in Mechanical/Electrical or Mechatronic Engineering
• 5 years experiences in machine repair and maintenance

Training Requirements

• Quality Management and its related Quality Procedures

Leong Jia Qi Reg No. : R24124746

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Our company is at the forefront of innovation in financial technology. Our mission is to develop AI-driven strategies that predict market trends.

We're looking for talented individuals to join our newly founded trading team in our Singapore office as Machine Learning Developers with a specialization in predictive finance.

Responsibilities:

• Develop and implement machine learning predictive models.
• Collaborate closely with team members to create data-driven trading strategies and algorithms.
• Conduct research on academic literature.
• Explore various data sources to craft insightful features for machine learning models.
• Continuously improve and monitor the performance of the ML models.
• Stay up-to-date with the latest trends in machine learning.

Qualifications:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, or a related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with the ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Knowledge of the financial industry and experience working with big data.
• Independent research experience.

We are looking for a Machine Learning engineer to be part of our Video Analytics team, who is passionate about building products that the customers love. You will join a dynamic and fast-pace environment and work with our product development team to design, build and roll-out our "Deep Learning enabled" Video Analytics Software suite that deliver STEngg's vision and strategy in this domain.

In this role, you will be involved with the end-to-end implementation of deep learning models to tackle a broad range of real-world video analytics problems. You will be expected to translate state-of-the-art techniques into working products and deploy them at scale and edge.

Our product development team has demonstrated its ability to create innovative solutions in the area of video analytics, and we are poised for the next phase of growth and expansion.

Responsibilities:

• Train and maintain production quality deep learning models
• Optimize and deploy these models to customers
• Carry out research to develop new techniques to improve performance of existing deep learning models and building new models

Requirements:

• Possess fundamental software engineering skills.
• Proficient in python, experience in C++ is preferred.
• Experience in training and productising ML models, benchmarking performance and accuracy.
• Experience with training models on deep learning frameworks like TensorFlow, Keras, PyTorch, Caffe2 and/or MXNet for computer vision tasks such as object detection, classification, and tracking
• Understanding of deep learning optimization concepts such as pruning, quantization, and the impact of accelerators on throughput, latency and cost
• Experience in building and optimizing ML pipelines using TensorRT or DeepStream is preferred.
• Experienced the full life cycle of model training to deployment into production, and continuous improvement
• Familiarity with working in a Linux environment on public clouds and locally
• An explorative personality with a hunger for continuous improvements
• Strong problem solving, analytical and conceptual skills, with good communication skills
• Able to work independently with minimum guidance and monitoring, a good team player

Working Perks & Professional Development

• Great opportunity to get industry and enterprise experience.
• Exposure to the full spectrum of product development in the area of deep learning enabled video analytics,
• Join a young and dynamic team and forwarding looking working culture.
• Lots of room to tinker, experiment

Please apply here: https://talent.sage.hr/jobs/b0aa80ab-6951-4717-b49e-37ac3c199206

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for Machine Learning Research Engineers with the following backgrounds:

- Generative Modelling (particularly LLMs and multi-Agent systems)

- Data science

- High-performance Computing

- Data-driven personalised healthcare

- Model-based personalised healthcare (e.g. pharmokinetic modelling)

- Translational and regulatory expertise in medical devices

As a Machine Learning Research Engineer, the successful candidate will contribute to the programme by developing and implementing novel machine learning algorithms with focus on security and data privacy, as well as translating recent AI advancements to the healthcare setting.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for.

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

Job Description

• Industry/ Organization Type: Precision Engineering
• Position Title: Maintenance Engineer
• Working Location: Bukit Batok
• Working Hours: 5 days (Mon – Fri, 8.00am – 5.30pm)
• Salary Package: Basic salary up to $3,000 + Variable Bonus + OT
• Duration: Permanent Role

Key Responsibilities

• Create and execute regular maintenance plans for all machinery and equipment.
• Identify and fix issues with mechanical, electrical, and pneumatic systems in CNC machines and other equipment.
• Help with setting up and starting new equipment.
• Keep detailed records of all maintenance work, including logs, reports, and manuals.
• Follow all health and safety rules and foster a safe workplace.
• Spot areas for improvement and introduce changes to better equipment efficiency and reliability.
• Manage spare parts inventory and handle ordering as required.
• Cooperate closely with production, quality, and engineering teams to meet operational objectives.

APPLY NOW!!!

• Bachelor's degree or Diploma in Electrical or Mechanical Engineering or related field.
• 3-5 years in maintenance engineering in related field
• Good understanding of CNC machines (Fanuc control) and PLC programming.
• Experienced with AUTOCAD and Microsoft Office Suite.
• Willingness to work outside regular hours if necessary

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #67933 on the email subject.

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

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

Job Responsibilities:

• Responsible for the operation, maintenance, management and engineering improvement of various systems in the factory, and provide stable supply and quality to customers.
• Operation and maintenance of ultrapure water manufacturing system.
• Operation and maintenance of wastewater treatment system.
• Operation and maintenance of process cooling water system.
• System improvement project and HOOKUP planning and execution

Job Requirements:

• Bachelor's Degree in Mechanical / Electrical & Electronic / Environmental / Chemical Engineering
• At least 1 years of relevant experience in semiconductor industry
• Candidate with relevant certificates are preferred.
• Candidate with FAB facilities systems operation experience are preferred
• Creative problem-solving and troubleshooting skills.
• Emergency response capability.
• Excellent critical thinking skills and a high level of numeracy.
• Good communication and interpersonal skills.
• Able to work independently and able to handle stress effectively.
• Proficient in PPT, Excel & presentation skill

(A) Essential Job Functions:

The Instrumentation & Monitoring Engineer is responsible for, but not limited to, the following:

• Conduct, manage and solve technical issues escalated from sites related to instrumentation and monitoring.
• Coordinate, manage, and supervise all the instrument installation and monitoring works.
• Liaise and coordinate with subcontractor for installation and monitoring issues.
• Interpret and prepare interpretative reports for instrumentation.
• Participate in monitoring meetings with client and coordinate with IMC.
• Coordinate with the construction team to minimise obstruction and damage to the monitoring instruments.
• Supervise and quality control in instrumentation works
• Other ad-hoc duties assigned by manager.

(B) Minimum Qualifications/ Job Experience:

• A Degree holder in Civil Engineering/Geotechnical Engineering or equivalent.
• Minimum 8 years of engineering experience in civil projects.
• Experience in Instrument Installation, Recordings, Interpretation.

(D) Knowledge/ Skills/ Abilities:

• Adept in using MS Office, especially, Excel, PowerPoint and Word.
• Able to work independently and with minimal supervision.
• Excellent English communication and written skill (To liaise with Government Authorities, clients and associates).
• Must be able to work under pressure.

Permanent, Thomson road, 5.5 days

• · Oversee maintenance and operations for mechanical and electrical (M&E) systems in building facilities.
• · Supervise internal team members and external contractors.
• · Collaborate with the facilities team, contractors, and clients to resolve technical issues.
• · Attend M&E-related meetings and prepare reports.
• · Assist in planning, coordinating, and controlling M&E works.
• · Schedule, monitor, and supervise work progress.
• Handle client inquiries.

Requirements:

1. Diploma in Engineering, Building, Real Estate, Facilities Management, or related fields.
2. 3 years of experience in facilities maintenance operations
3. 5.5-day work week.

Work location :Thomson Road

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment.

For better response, pls apply via job page

https://recruitmentalliance.zohorecruit.com/jobs/Careers

click job opening, click relevant position.

We regret that only shortlisted candidates will be notified.

About Us:

At our core, we are a digital health startup with a bold vision: we believe in a future where healthcare is personalised, accessible, and affordable for everyone. Over the past four years, we’ve built a telehealth platform that has transformed healthcare in Singapore, Hong Kong, and Japan. But this is just the beginning.

We are looking for someone who shares our vision and is ready to join us on this journey towards reshaping healthcare in Asia. If you’re ready to do something truly impactful, this is the opportunity to create a legacy that will define the next generation of healthcare.

About the Role:

Are you ready to make a real difference in healthcare? As a Machine Learning Engineer, you’ll play a pivotal role in redefining how technology can deliver personalized healthcare at scale. Working closely with our Head of Engineering, you’ll join a small but elite team tasked with building cutting-edge solutions that integrate AI, machine learning, and LLMs to revolutionize telehealth in Asia.

This isn’t about maintaining the status quo—it’s about crafting a moonshot vision for the future. You’ll have the opportunity to work on groundbreaking challenges, such as scaling relationship management through AI, delivering personalized health insights, and developing tailored medication and products for patients.

Why Join Us?

This is more than a job—it’s a mission. While there may be trade-offs in compensation, what we offer is the chance to be part of something transformative. You’ll have ownership over impactful projects and the opportunity to work with a passionate team dedicated to changing lives through technology and innovation.

What You’ll Do:

• Develop and deploy machine learning models to support personalized healthcare at scale.
• Work on integrating AI and LLMs to enhance data insights, automate processes, and manage patient relationships effectively.
• Collaborate with the Head of Engineering and leadership team to design and implement technical solutions aligned with the company’s mission.
• Optimize ML pipelines for scalability and performance in a fast-paced telehealth environment.
• Ensure the security and integrity of patient data while leveraging it to create actionable insights.
• Continuously experiment and innovate, staying at the forefront of AI and ML advancements.

Who You Are:

• You’re passionate about using technology to make a meaningful impact on people’s lives.
• You have hands-on experience building and deploying machine learning models in production.
• You’re familiar with AI and LLM technologies and understand how to personalize experiences at scale.
• You thrive in fast-paced, high-growth environments and enjoy the challenge of building solutions from scratch.
• You have strong problem-solving skills and a desire to tackle healthcare’s toughest challenges.
• Experience with healthcare data or applications is a plus but not mandatory.

What We Offer:

• The chance to work on meaningful projects that have the potential to transform healthcare in Asia.
• A collaborative and innovative team culture where your contributions truly matter.
• Ownership over impactful projects and the freedom to explore cutting-edge technologies.

Join us, and let’s build the future of healthcare together.

Why Join Us:

• Impact: Be part of something truly transformative—help lead the shift towards personalised healthcare in Asia.
• Ownership: Full responsibility over the engineering function and the freedom to shape technical direction.
• Equity: Share in the long-term success of the company.
• Flexibility: Work remotely, with occasional travel across Asia to collaborate with the team.
• Mission-Driven: Join a team that’s passionate, focused, and committed to making a real difference in healthcare.

Job Description:

• Identify and troubleshoot issues in circuit boards using testing tools like oscilloscopes and multimeters.
• Perform visual inspections and utilize specialized tools to find defects or faults on the board.
• Solder and desolder components to replace damaged or malfunctioning parts.
• Use rework stations and hot air tools for efficient component removal and replacement.
• Conduct functionality tests on repaired boards to confirm they meet required standards.
• Keep comprehensive records of repair work, including fault details and resolution steps.
• Capable of adjusting PCB design to address component obsolescence.
• Keep current with new repair methods and tools.
• Engage in training sessions and workshops to advance technical skills.
• Parts teardown, re-assembly, re-certification and qualification
• Troubleshoot PCB Electronics

Requirements:

• Miniumum Diploma / Degree in Electronic/Electrical Engineering
• At least 4 years of experience in troubleshooting of PCB Re / Semiconductor Components.
• PCB repair and maintenance in a huge advantage.
• Strong diagnostic and troubleshooting skills.
• Excellent communication and customer service skills.
• Ability to work independently and in a team environment.
• Familiarity with industry standards and best practices for PCB maintenance.

We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm.

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by Bank data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring. Your main responsibilities will include:
Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements

Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.

Optimize AI development environments (development, testing, production) for usability, reliability and performance.

Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).

Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.

Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

• Proficiency in Python used both for ML and automation tasks
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good understanding of ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Distributed Data Processing framework, such as Spark, or Dask.
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.

Job Description

• Industry/ Organization Type: Precision Engineering
• Position Title: Maintenance Engineer
• Working Location: Bukit Batok
• Working Hours: 5 days (Mon – Fri, 8.00am – 5.30pm)
• Salary Package: Basic salary up to $3,000 + Variable Bonus + OT
• Duration: Permanent Role

Key Responsibilities

• Create and execute regular maintenance plans for all machinery and equipment.
• Identify and fix issues with mechanical, electrical, and pneumatic systems in CNC machines and other equipment.
• Help with setting up and starting new equipment.
• Keep detailed records of all maintenance work, including logs, reports, and manuals.
• Follow all health and safety rules and foster a safe workplace.
• Spot areas for improvement and introduce changes to better equipment efficiency and reliability.
• Manage spare parts inventory and handle ordering as required.
• Cooperate closely with production, quality, and engineering teams to meet operational objectives.

APPLY NOW!!!

• Bachelor's degree or Diploma in Electrical or Mechanical Engineering or related field.
• 3-5 years in maintenance engineering in related field
• Good understanding of CNC machines (Fanuc control) and PLC programming.
• Experienced with AUTOCAD and Microsoft Office Suite.
• Willingness to work outside regular hours if necessary

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #67933 on the email subject.

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

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

COMPANY DESCRIPTION

1-Net manages carrier-neutral Internet Data Centers, along with providing a comprehensive range of integrated services including network connectivity, managed services, work area recovery suite, cloud and media delivery services. 1-Net's Data Center Corridor initiative currently interconnects key data centers in Singapore to facilities quick deployment and providing a diverse connectivity options for enterprises and service providers.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

1-Net is fast transforming itself into Asia's Data Centre of Choice. As one of the pioneers in broadband development in Singapore, 1-Net currently manages telco-class carrier-neutral Internet Data Centres, along with providing domestic and international connectivity, managed services and media delivery services. 1-Net offers superior stability, secure delivery and service experience through its services. It's uniquely positioned in Southeast Asia, with a comprehensive range of integrated services and a media-centric approach to bring cutting edge solutions to its customers.

Responsibilities

• Manage the maintenance and daily operations of the DC facilities with the objective of achieving uninterrupted availability at all times and to ensure the fulfillment of our service commitment to customers.
• Support service delivery to ensure contracted service level agreements and key performance indicators are met or exceeded.
• Perform routine facilities activities including inventory control. Critical systems checks and functional testing. Able to respond and take action in response to facilities crisis management activities including: power outages, fire alarms, HVAC outages. Analyze data and identify trends with facility issues to determine root cause and take appropriate action.
• Respond to BMS/EMS alerts, investigate and feedback on any outstanding issues or events and respond to emergency situations and be on standby duty as required.
• Provide technical support to all aspects of data center operations including the operation, maintenance and repair of all mission critical equipment and systems supporting a 24x7 data center operation to achieve 100% uptime and 100% compliance with all customer SLAs.
• Assist in all site construction activities and installations, in coordination with external contractors to ensure system design, installation and testing adhere to operational standards. Witness testing of all equipment during commissioning and validate sequence of operations and receipt of all operational documentation.
• Support for customer installations, in coordination with the design & construction as well as operations requirements to coordinate customer move-in and turn-on, and other service request & deliveries.
• Maintain compliance with local workplace safety & health (WHS) standards and local electrical and building codes.
• Ensure adherence to all standard operating procedures (SOP), method of procedures (MOP), and emergency response procedures (ERP) established for the critical environments, as well as the formal change control process.
• Participate in the scheduling, coordination and completion all significant planned and emergency maintenance events for the facility and ensure these activities are executed in a controlled and proven method to ensure the reliability of the critical loads supported by these systems.
• Support various accreditation, certification and compliance initiatives such as BCA-IDA Green Mark DC/QMS/ISMS/BCMS/PCIDSS/OSPAR, etc as may be required.

• ITE/Diploma in Electrical or Mechanical engineering or equivalent qualification
• No experience required as training will be provided
• Must be willing to learn
• Able to resonate with our culture of Respect, Teamwork, Drive
• 24x7 rotating shift duty
• Able to comprehend, analyse and interpret complex project documents, including AutoCAD, Visio and PDF documents
• General technical and functional knowledge of data center infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environment
• Working location: 1-Net (East) at Chai Chee / 1-Net (North) Woodlands

Job Scope:

• Oversee the design, installation, and maintenance of electrical systems in facilities
• Ensure compliance with electrical codes, safety standards, and regulations
• Manage projects related to electrical infrastructure upgrades and improvements
• Conduct regular inspections and audits of electrical systems and equipment
• Collaborate with cross-functional teams to optimize facility operations
• Develop and implement preventive maintenance programs for electrical systems
• Analyze and troubleshoot electrical issues, providing timely solutions
• Prepare and manage budgets for electrical projects and maintenance
• Train and mentor junior engineers and technical staff
• Maintain documentation related to electrical systems, including schematics and maintenance records

Requirements:

• Degree in Electrical Engineering or related fields with a minimum of 3 years of experience
• Experience in operation and maintenance of transformers, LV/MV switchboards, UPS, motors, frequency converters, and power distribution
• Experience in project installation of electrical distribution systems
• Ability to study protection circuits, single line drawings, and control circuits
• Knowledge of low voltage systems, including fire protection, CCTV, PA, and network systems
• Compulsory knowledge of HV, LV, transformers, switchboards, and breakers

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

EA License No: 13C6305

Reg. No.: R1981808

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