Total 22 software engineer job vacancies in Maintenance / Repair category in D20 Bishan, Ang Mo Kio

Job Info:

• Monday to Friday 8 - 5, Saturday 8 - 12
• Location: Bukit Batok

Responsibilities:

• Coordinate maintenance activities for facilities and equipment to ensure optimal performance and minimize downtime.
• Ensure the proper functioning and maintenance of machinery and equipment (such as genset, excavator etc) to support production and operational requirements.
• Coordinate tasks and resources across machinery & equipment maintenance team, and logistics & operations team to meet operational goals and deadlines.
• Oversee and ensure the Operations and Logistics adhere to safety measures during operations.
• Address operational issues and challenges, implementing solutions to maintain efficiency and productivity.
• As team leader in performing daily task, inclusive of daily reporting.

Requirements:

• Minimum diploma in maintenance or mechanical engineering.
• Minimum of 2 – 5 years of experiences in machinery and equipment field.
• Possess knowledge on the procedures in maintenance of equipment & machinery.
• Possess knowledge in logistics and operations will be advantages.
• Basic IT knowledge on software operating.
• Valid class 3 driving license (optional).
• People oriented, task oriented and possess positive work attitude.
• Strong organisational and communication skills.
• Ability to multitask, prioritize tasks, and manage time effectively.
• Problem-solving abilities and attention to detail.
• Willingness to travel to various project sites as required.

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EA License No: 24C2352

EA Personnel No: R24123724

EA Personnel Name: Tiffany Ng Xin Yi

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.

We Are Looking For

As the Maintenance Engineer, you will be based in the Singapore Data Center and report to the Mechanical Engineer. You will be responsible for preventive maintenance program and schedule. You will work closely with departments such as Network, Security and Facilities to ensure all equipment is running smoothly and with minimal downtime. The Maintenance Engineer will also work closely and manage contractors on maintenance activities.

Job Responsibilities

• Perform technical maintenance activities associated with Electrical/ ACMV/ Fire system
• Manage contractors for preventive maintenance and ensure 52-Week Calendar is updated on a timely basis
• Review PTW/ MOP/ RA prior to the commencement of equipment maintenance/ fault investigation and resolution
• Develop and implement preventative maintenance programs and schedules for critical facilities to ensure optimal operation and equipment reliability
• Conduct regular inspections and assessments of critical facility equipment and systems to identify and address any issues or potential failures
• Plan and execute maintenance and repair activities, including coordinating with contractors and vendors to ensure that work is performed safely and effectively
• Perform hands-on maintenance activities such as replacing filters, performing PMs on electrical systems, and troubleshooting mechanical issues
• Ensure that all maintenance activities comply with industry standards, manufacturer recommendations, and regulatory requirements, such as OSHA, NFPA, and EPA
• Maintain accurate records of all maintenance activities, including equipment histories, work orders, and maintenance logs
• Participate in incident response and disaster recovery activities

Qualities You Should Have

• Bachelor / Diploma in Electrical/ Mechanical Engineering or Building Services
• Minimum 1-3 years of relevant experience in critical facility maintenance and operations in a corporate environment
• Strong knowledge of critical facility equipment and systems, including HVAC, electrical, and mechanical systems
• Experience with critical facility management and maintenance software, such as CMMS, ASHRAE, NFPA, and TIA-942
• Certifications in relevant technologies, such as Certified Data Center Professional (CDCP), Certified Data Center Design Professional (CDCDP)

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.

• planning and undertaking scheduled maintenance
• responding to breakdowns
• diagnosing faults
• repairing equipment
• supervising engineering and technical staff
• obtaining specialist components, fixtures or fittings
• managing budgets
• maintaining statistical and financial records
• ensuring compliance with health and safety legislation
• creating maintenance procedures
• managing stocks of supplies and equipment.

Benefits:

• Competitive salary of up to $3,900 + OT + variable bonus
• 5-day work week with stable hours (Monday to Friday, 8:15 am to 6 pm)
• Career advancement opportunities in a reputable engineering company
• Hands-on experience with various engine brands and troubleshooting systems
• Convenient location Sin Ming Ln, Midview City

Job Description:

As a Mechanical Engineer / Electrical Technician, you will repair, service, and troubleshoot a range of engines and equipment, including Cummins, Volvo, Perkins, MAN, Caterpillar, and Deutz. This role involves diagnosing and maintaining electrical and electronic circuits, control panels, and engine systems, ensuring all work is completed efficiently and meets company standards.

Roles & Responsibilities:

• Repair and service equipment/engines (Cummins, Volvo, Perkins, MAN, Caterpillar, Deutz) as per schedule
• Troubleshoot and diagnose electrical/electronic circuits on generators, control panels, and electronic engines
• Perform testing and commissioning on engines and generators
• Interpret electrical/electronic drawings accurately
• Survey equipment to assess required scope of repair/service
• Troubleshoot, repair, or construct engine wiring harnesses and alternator wiring
• Construct, replace, or modify control panels (AC/DC) for engines and generators
• Maintain and care for machinery, tools, and service area

Requirements:

• Minimum 1 year of relevant experience
• Ability to troubleshoot and diagnose engine/electrical issues
• Skilled in reading electrical/electronic schematics
• Strong hands-on experience with engine repair and control panels

Additional Information:

• Salary: Up to $3,900 basic + OT + variable bonus
• Location: Sin Ming Ln, Midview City
• Working Days: Monday to Friday (5 days per week)
• Working Hours: 8:15 am to 6:00 pm

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple's Strategic Data Solutions (SDS) team is looking for a hardworking individual who is passionate about crafting, implementing, and operating analytical solutions that have direct and measurable impact to Apple and its customers. As an SDS Machine Learning Engineer, you will employ predictive modeling and statistical analysis techniques to build end-to-end solutions for improving security, fraud prevention, and operational efficiency across the company, from manufacturing to fulfillment to apps and services. Apple's dedication to customer privacy, the adversarial nature of fraud, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, we will push the limits of existing data science methods while delivering tangible business value.

Description

Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions Ensure operational and business metric health by monitoring production decision points Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes Communicate results of analyses to business partners and executives

Minimum Qualifications

• Education in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.
• Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java
• Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark
• Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
• Ability to comprehend and debug complex systems integrations spanning toolchains and teams

Preferred Qualifications

• Creativity to engineer novel features and signals, and to push beyond current tools and approaches
• Ability to extract meaningful business insights from data and identify the stories behind the patterns
• Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways

Summary

Apple's Strategic Data Solutions (SDS) team is looking for a talented manager who is passionate about leading a team of data scientists that craft, implement, and operate analytical solutions with direct and measurable impact to Apple and its customers. You will build and lead a team of SDS machine learning engineers, who employ machine learning, statistical analysis techniques, and system design to build end-to-end solutions for Apple's fulfilment and financial programs. You will engage with a large and talented cross-functional team as we work to build out our solutions, projects and programs. Apple's dedication to customer privacy, the adversarial nature of fraud and risk, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, you will push the limits of integrating existing data science methods with engineering and business process to deliver tangible business value! This position is based in Singapore.

Description

- Lead and mentor a team of software engineers, machine learning engineers and technical fraud analysts - Design and maintain real-time automated decisioning systems and operations for fulfilment and financial products. - Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions - Engage with business partners and understand their unique requirements and design them technical solutions - Review the teams production code and logic for highly integrated system - Distill and clearly communicate complex technical topics for both business and engineering partners - Analyze data and tell meaningful stories to assist business partners. - Collaborate with and support the team to innovate, encouraging experimentation and growth

Minimum Qualifications

• Graduate degree in a quantitative field or equivalent professional experience
• Experience leading a team of machine learning engineers, software engineers and technical fraud analysts
• Practical experience training, deploying, and maintaining decisioning algorithms
• Familiarity with distributed databases, data warehousing, and SQL

Preferred Qualifications

• Ability to implement custom real-time or batch machine learning applications with their appropriate data pipelines
• Ability to comprehend and debug complex system integrations spanning toolchains and teams
• Ability to extract meaningful business insights from data and identify the stories behind the patterns
• Ability to think at a systems level to anticipate technical, business, and customer impact
• Clear communication and presentation skills
• Unwavering ability to maintain poise and a positive attitude in a challenging and dynamic environment
• Strong organizational skills with an ability to oversee and drive multiple activities at once
• Excellent problem solving skills, business acumen, and solution design mentality
• Experience writing, reviewing, and deploying production software
• Experience in the following a plus: operations, fulfilment, supply chain, payments, financial risk, credit and fraud

Senior Instrument Engineer

• 5 Working Days
• 830am - 530pm
• $5500 - $6000
• Labrador Park

Job Summary

Responsible for the analysis and preparation of specifications and construction drawings, design documents for process and industrial plants in accordance with project specification schedule and customer requirements.

Duties & Responsibilities:

• Responsible for field instrument and control system design work.
• Able to lead small/medium size project within budgeted MH, cost and project schedule.
• Prepare and review field instruments, Analyzer, Control Systems (DCS, ESD, F&G etc) specification, requisition, TBE, vendor document review.
• Prepare construction drawings such as Location layout, hook-up, cable routing, loop diagram etc. based on project specifications.
• Generate specification requisition for various process instruments, evaluate and select suitable instruments for required process control/monitoring application.
• Preparation of technical proposals (e.g. TBE) and cost estimation for tender projects.
• Preparation Vendor’s Document Review, BMBQ, Man-hour estimation and related.
• Engineering Support at site, attend Field Instrument & Control Inspection, FAT at vendor’s workshop and SAT & Loop Check at site.
• Perform other functions that may be assigned by superior.

Requirements:

• Bachelor’s degree in Chemical Engineering, Electrical and Electronic Engineering or Instrument and Control Engineering.
• 8 years’ experience in instrument and control system design work.
• Knowledge and experience in Field Instrument Engineering as well as Control System, e.g. DCS, ESD, F&G.
• Able to work at construction site to support construction, pre-commissioning and commissioning activities.

Interested applicants can send your resume to Whatsapp 83208165 (Jennifer) and allow our consultant to match with our clients.

We regret to inform that only shortlisted candidates will be notified! All applications will be handled with strict confidentially.

Jennifer Tay Swee Shan

Reg No: R22111564 | EA No: 21C0845

Recruit Now Singapore Pte Ltd

Lead Instrument Engineer

• 5 Working Days
• 830am - 530pm
• $6000 - $6800
• Labrador Park

Job Summary:

Responsible for the analysis and preparation of specifications and construction drawings, design documents for process and industrial plants in accordance with project specification schedule and customer requirements.

Duties & Responsibilities:

• Responsible for field instrument and control system design work.
• Able to lead small/medium size project within budgeted MH, cost and project schedule.
• Prepare and review field instruments, Analyzer, Control Systems (DCS, ESD, F&G etc) specification, requisition, TBE, vendor document review.
• Prepare and review construction drawings such as Index, IO List, Location layout, hook-up, cable routing, loop diagram etc. based on project specifications.
• Evaluate and select suitable instruments for required process control/monitoring application.
• Lead the estimation work of BMBQ, Man-hour, technical proposal writeup, for new tender project.
• Preparation of project monthly report and attending project & client meeting as required.
• Work collaboration with other GEC and monitor daily job task assignment.
• Perform FAT/inspection for control system and field instruments as required.
• Perform SAT, Loop check, site construction and commissioning support as required

Requirements:

• Bachelor’s degree in Chemical Engineering, Electrical and Electronic Engineering or Instrument and Control Engineering.
• 15 years’ experience in instrument and control system design work.
• Knowledge and experience in Field Instrument Engineering as well as Control System, e.g. DCS, ESD, F&G.
• Able to work at construction site to support construction, pre-commissioning and commissioning activities.

Interested applicants can send your resume to Whatsapp 83208165 (Jennifer) and allow our consultant to match with our clients.

We regret to inform that only shortlisted candidates will be notified! All applications will be handled with strict confidentially.

Jennifer Tay Swee Shan

Reg No: R22111564 | EA No: 21C0845

Recruit Now Singapore Pte Ltd

Location: North-East (Punggol)

Working Hours:

• 5 Days Work Week
• Monday to Friday, 9am to 6pm

Remuneration Package:

• Basic up to S$ 3500
• AWS
• Variable Bonus
• Grab coverage from office to Punggol MRT (back & forth)

Responsibilities:

• Monitors outsource and lead in-house team in cleaning and maintenance facility management of the Dormitory.
• Conduct monthly Facilities Management Review with service partners / vendors to monitor and demonstrate achievement of agreed service levels and to lead on improvement.
• Ensure efficiency of facilities management in cleaning services, pest control, waste management, landscaping, water services, electrical and fire services, etc
• Promoting healthy and safe working methods and practices in the workplace.
• Investigate, develop, and implement solutions, trouble shoot on day-to-day operational problems of facilities and building.
• Reviews work orders / service report to ensure that order/ service are completed.
• All other duties assigned by immediate superior from time to time.
• Assist Dormitory Manager / Directors as and when it is required.

Requirements:

• Preferably possess at least Diploma related Engineering discipline
• Minimum 1 year of hands-on experience in Construction Industry/ Facilities Management Industry/ or M&E Industry
• Excellent organizational and communication skills, attention to detail, and the ability to work independently or within a team environment
• Excellent knowledge of MS Office

Please be notified that only shortlisted candidates will be notified.

Ian Fong | R22106545

Recruit Now Singapore Pte Ltd | EA No: 21C0845

Are you a software developer looking to debunk Machine Learning myths? NCS is looking for you to join us as an MLOps engineer, where you will be designing and developing production grade codes catered to operational machine learning workflows. You take joy in ensuring the models are running efficiently, and take pride that no edge cases can derail your setup. You love building connectors to standardise highly stackable services, and desire to attain self-learning artificial intelligence. If this resonates well with you, bring along your Git library and development machine when we have a chat.

What will you do?

• Develop engineering solution to run production level machine learning and data-driven initiatives.
• Manage and monitor full lifecycle of ML models in production (e.g. monitor features, model results and performance)
• Schedule and orchestrating complex ML workflows and pipelines using latest technologies and schedulers. When all else fails, bash is something you script, and not action upon.
• Optimize the efficiency of machine learning algorithms by applying state-of-the-art technologies to reduce training time and inference latency.
• Work closely with data scientists, business and IT teams to build platform and framework to enable machine learning and data analytics activities on a large-scale.
• Continuous innovation and optimization of machine learning workflow, through R&D on new technologies.
• Establish, implement and maintain best practices and principles of machine learning engineering.

What you need to have:

• Bachelors in Computer Science, Computer Engineering, or in a highly related discipline.
• Excellent programming skills in at least one object-oriented programming language (Python, Java, C++)
• Bash, Shell, YAML, Ansible, Git, Maven, Jenkins, Junit, Ctrl-M, K8, Docker all makes sense to you.
• 2+ years of experience in software engineering or data engineering.
• Implementation experience in machine learning algorithms and applications.
• Strong expertise in ML model deployment tooling (including experience with tools for real production deployments, testing, management of package dependency, lineage/audit trails, model versioning), high performance computing and parallel data processing.
• Passionate about machine learning, new application areas and new tools

Nice to have:

• Experience working on Spark, HiveQL or Optaplanner is a plus.
• Knowledge in database modelling, big data or data warehousing concepts.
• Fluency in at least one modern distributed ML frameworks (TensorFlow, PyTorch, Caffe, MLFlow)
• Exposure in artificial intelligence – machine learning, deep learning, reinforcement learning.
• Experience working with Singaporean clients, the Singapore government, familiarity with GDPR in Europe, PDPA in Singapore will be an advantage
• Certification and applied experience in cloud-based analytics platforms such as:
• Microsoft Azure Analytics
• Amazon Web Services Analytics
• Google Cloud Platform Analytics

Main Responsibilities

• Gathering and analyzing data, blueprints, and reports.
• Determining facility and equipment specifications.
• Analyzing project costs and preparing budgets.
• Designing and overseeing the implementation of facility expansion, layout, various systems, and quality controls.
• Evaluating operational systems and facility infrastructure to ascertain and improve operational efficiencies.
• Developing processing plans and optimizing resource allocation.
• Planning and coordinating infrastructure and equipment maintenance schedules and activities.
• Coordinating and overseeing contractors performing maintenance activities.
• Ensuring compliance with relevant regulations, building codes, and health and safety standards.
• Preparing reports and compliance documentation.

Roles & Responsibilities

• Perform technical maintenance and troubleshooting activities associated with electrical/mechanical/ACMV/fire system.
• Maintain and operate Data Centre critical Mechanical & Electrical (M&E) systems to ensure 100% uptime and meet operational performance expectations.
• Execute action response for all onsite operational incidents and ensure all remote requests are performed within SLA.
• Review PTW/MOS/RA prior commencement for equipment maintenance or fault investigation and resolution.
• Performs all duties in a safe and orderly manner, without interruptions to production, and in accordance with approved procedures, Company policies and comply with all environmental, health and safety rules.
• Support delivery and related services based on internal and external requirements.
• Installation and termination of all copper and fibre cross-connects to include gathering requirements, designing, labelling, testing and documentation.
• Responsible for power cycling of equipment based on clear instructions.
• Responsible for escorting clients, vendors, and contractors to various onsite locations.
• Maintain good communications/ relationship among operations team and customers.
• Any other tasks and duties as directed the superior and Operations Management.

Requirements

• Must be able to work in a 12-hour rotating shift work schedule
• Physically fit and of good health
• Prior experience in operating and maintaining mission critical facility.
• Prior experience in managing contractors (technical and soft services) and technicians.
• Computer knowledge such as Office 365 such as Outlook, Excel, Word and PowerPoint
• Relevant qualifications or certification in Uptime institute, Data Center Dynamic or EPI and equivalent.

Job Description:

• Manage or participate in upgrade of system & network infrastructure projects.
• Responsible for supporting operational systems satisfying contractual Service Level Agreement.
• Perform and manage routine preventive maintenance and operational activities promptly and effectively
• Provide project documentation and reports.
• Diagnose and rectify technical issue.

Requirements:

• Min. Educational Qualifications (& discipline): Diploma or equivalent certification in Electronics/Electrical/Mechatronics.
• Proficient in PC software and hardware maintenance
• Have good process knowledge, hybrid maintenance experiences on electrical and electronics linked controlled systems, such as SCADA, IO Network, PLC, Servo, Heating Ventilation and Air Conditioning Systems (HVAC), Pumps and Filtration System Control, Hydraulics Control Systems, Mechanical fittings
• Be physically fit to handle stairwells and manage height access platforms such as ladders, MEWP and other auxiliary platforms
• Comply to safety and security requirement (Client and company)