Total 14 construction engineer job vacancies in Maintenance / Repair category in d20 bishan ang mo kio

• Assist EHS & Facilities Senior Engineer in daily operational works
• Prepare all reports for submission
• Monitor, analyze and prepare daily reports and equipment health check reports.
• Liaison with all vendors/users.
• Execute any follow-up actions.
• Prepare interim incident reports.
• Prepare a master maintenance schedule and manage the deployment of resources as scheduled.
• Responsible to handle all projects upgrading and fitting out matters with supervision to completion and taking over.
• Any other works related to the operation of the building as assigned

• Degree in Electrical Engineering / Mechanical & Air-Conditioning Engineering or equivalent with at least 2 years of relevant working experience
• Experience in project management and A&A works.
• Basic electrical, aircon, chiller, and air compressor knowledge will be an advantage
• Basic computer knowledge in MS Office
• Good interpersonal skills
• Ability to coordinate work on a tight schedule
• Possesses strong problem-solving abilities

SKILLS

Time Management Skills

Decision-Making Skills

Customer Service

PC literacy

ATTRIBUTES

Self-motivated with a strong and flexible attitude towards work

Ability to communicate at all levels

Excellent attention to detail and meeting customers’ requirements

Ability to work under pressure and to deadlines when required

The ability to prioritize and organize own workload

Responsibilities

• Manage and monitor all FM related systems to ensure highest level of system availability
• Providing level 2 support and works with vendors to ensure timely resolution of incidents / issues
• Derive and maintain up to date technical documentation, work instructions and procedure
• Involved in project-based work for new implementation or improvement to existing system
• Supporting DCIM (Data Centre Infrastructure Management) system, to be able to maintain the collection of the data from various location for central monitoring at IoC.
• Support of CCTV system from all locations with linkage to central view at IoC
• Managing Smart Facility System.
• Access Control, i.e. card access, Facial recognition.
• Manage Electronic Key Management System
• Updating the Smart Facility Access list
• Any other ad-hoc duties as assigned by superior from time to time.

Role Requirements:

• Degree in IT or related field with minimum 2 years of experience in network facilities management or Data Centre facility management
• Possess understanding of Facility management but without relevant experience but willingness to learn is welcome
• Skilled in physical security management and systems
• Strong problem-solving skills, critical thinking, excellent analytical ability
• Ability to communicate both verbally and in writing in a clear and concise manner.
• Work well under pressure with differing levels of people
• Ability to maintain confidential information and communications.
• Ability to plan and organize ones work in-order to meet target set
• Results focused and understands critically the needs of meeting customer SLA and KPI requirements.
• Fresh graduates are welcome to apply

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business – Mission Software & Services

Our Mission Software & Services business provides leading-edge mission critical command, control, and communications (C3) systems with secured IT infrastructure and managed services. We support our client’s innovation journey through design thinking, analytics, and AI-enabled decision support with our full suite of cloud computing solutions. We provide intelligent, actionable insights and sustainable solutions to our valued partners in diverse industries including defence, government, and commercial sectors.

Together, We Can Make A Significant Impact

This position involves maintaining and operating equipment, troubleshooting issues, conducting preventive maintenance, and ensuring facility safety & security. Responsibilities include participating in emergency response activities, documenting procedures, and performing various maintenance tasks. The individual will need to work effectively as part of a team and communicate professionally with colleagues and supervisors.

Be Part of Our Success

• Resolve identified engineering issues with equipment to keep downtime to minimum
• Active participation in first level troubleshooting / root cause isolation / recovery action on all reported incidents and escalate incidents to supervisor
• Perform planned preventive maintenance (PPM) / Reactive Maintenance (RM) / Service order (SO) to minimize equipment downtime
• Documentation of standard operating procedures / Checklist of equipment Tasks
• Work as a team to monitor and perform facility inspections and report on condition affecting operations
• Performs repairs, maintenance and installation.
• Conduct routine monitoring and spot checks of all building equipment and systems
• Involve in company’s Emergency Response team (ERT), first aid and environmental health & safety (EHS) activities
• Ensure calls are answered and emails are responded in a timely, efficient and professional manner
• Perform any other duties assigned and assist in ad-hoc tasks by supervisor or manager
• Contributes to team effort by accomplishing related results as needed.
• Ensure proper handover and takeover during shift changes.

Qualities We Value

• Computer literate with the ability to compile and submit daily reports.
• Experience and with understanding mechanical and electrical field / engineering & building services industry will be a plus
• Able to read architectural, structural, mechanical and electrical as built will be a plus
• Able to commit to 12hrs rotating shift work that includes day, night and weekends/

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

• 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.

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 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

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.

Excavating Machine Operator

Job Summary

Responsible for operating mechanical excavating equipment to move and remove earth.

Primary Responsibilities

• Uses machines to remove earth.
• Operates dragline, clamshell and other excavating machines.
• Dumps earth into trucks.
• Dredges lakes, streams, and swamps; hauls mud.
• Operates trucks, dump trucks, and bulldozers.
• Operates landfill compaction equipment.
• Covers refuse in sanitary landfill.
• Supervises laborers and equipment operators in excavating work.
• Uses computer applications or other automated systems such as spreadsheets, word processing, calendar, email and database software in performing work assignments.
• Prepares etching solution according to formula.
• Perform activities such as backfilling excavations, vibrating or breaking rock or concrete, and making winter roads.
• Lubricates, adjusts, and repairs machinery, and replaces parts such as gears, bearings, and bucket teeth.
• Set up and inspect equipment.
• Measures and verifies levels of rock or gravel, bases, and other excavated material.
• Moves materials over short distances, such a around a construction site, factory, or warehouse.

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