Total 29 construction engineer job vacancies in Maintenance / Repair category in d19 serangoon garden hougang sengkang punggol

Job Description:

Facilities Operations and Management

• Lead the planning, be hands-on construction supervision and maintenance of facilities, equipment, and buildings
• Design and lifecycle management of all facilities and equipment
• Maintain documentation related to electrical systems, including schematics and maintenance records
• Develop and maintain workspace (clean room, lab & offices) that builds a work environment enabling collaboration, innovation, productivity, and destination of choice
• Ensure high level of service for transportation, pantry, and other services
• Lead all aspects of building space allocation and layout, communication services and facilities expansion
• Lead Singapore office access and security control in partnership with Asia Regional Security lead
• Ensure all facilities meet established environmental and safety control requirements in partnership with Asia EHS team
• Collaborate with the business continuity team on disaster preparedness policies and procedures
• Manage the portfolio KPIs, space utilization rate and budget spend
• Lead and implement Integrated Facility Management outsourced for Singapore

Space Planning and Projects

• Develop space roadmaps for cleanroom, lab, and offices to meet business needs
• Lead site planning and design for new building construction, remodels, cleanroom, and lab installs, capacity planning, space planning, and engineering
• Develop and manage budget/timeline for projects

Real Estate Management

• Drive proactive planning and management of the Singapore real estate portfolio and leases
• Manage the site selection, negotiate, and execute lease agreements

Vendor Management

• Lead oversight of the performance of service providers, contractors, vendors, and suppliers
• Partner with Indirect Procurement to select and manage vendors for construction and operations based on procurement guidelines and standards

Data Analytics

• Compile market data, forecast, budget, and other analysis to support real estate investment opportunities
• Create and benchmark industrial peers’ key operational and service levels KPIs

Qualifications

• Bachelor's Level Degree with at least 5 years of experience (preferably in Electrical)
• Possess Singapore Certified Energy Manager (SCEM)
• Strong understanding of energy auditing, energy modelling, and energy efficiency technologies
• Demonstrated ability to partner effectively with business groups and align with company’s goals and objectives
• Deep understanding of real estate and facilities ecosystem: strategic sourcing, supply chain management, people management, facilities management, lease transaction management, design, construction, and project management
• Experience in leading country level network of sites, including knowledge in Singapore and international commercial real estate markets and regulations from proposal to build.
• Held position(s) in relevant or manufacturing environments
• Experience in operation and maintenance of transformers, LV/MV switchboards, UPS, motors, frequency converters, and power distribution
• Ability to study protection circuits, single line drawings, and control circuits
• Knowledge of low voltage systems including fire protection
• Compulsory knowledge of HV, LV, transformers, switchboards, and breakers
• Manage projects related to electrical infrastructure upgrades and improvements
• Experience in project installation of electrical distribution systems
• Strong communication and presentation skills with senior leaders
• Proficient with organizing and using data and financial analyses support and influence decision-making
• Ability to travel up to 30% of the time

Job responsibilities:

• Report to, and provide support to the Lead/ Senior Instrumentation Engineer on assigned projects and report to the Head - Instrumentation Engineering at the basis level.
• Be familiar with and implement Company work processes, procedures and quality policy as appropriate on assigned areas of projects.
• Be aware of Company contractual requirements and Scope Boundaries
• Responsible for work assigned by the Lead / Senior Engineers through project lifecycle phases and for compliance to project specific performance, integrity, quality and HSE requirements relevant to his/ her assigned scope of work. Specific duties could include:
• Prepare requisitions, specifications and datasheets as assigned.
• Evaluate vendor offers and prepare Technical Bid Evaluation Report for assigned packages.
• Populate Instrument database such as SPI/Aveva Instrumentation.
• Prepare and Issue documents such as Instrument Index, Hazardous Are registers etc
• Provide inputs to designers to develop design/drafting deliverables such as cable block diagrams, wiring diagrams, Layouts and review these deliverables
• Assist in preparation of control system deliverables such as I/O lists, Control narratives, Cause and Effect Matrix etc.
• Review and provide technical inputs on Instrumentation Engineering related technical matters to interfacing disciplines
• Review and provide technical inputs to equipment/ package related technical matters
• Be responsible for and manage the Instrumentation Engineering technical interfaces with equipment and package suppliers, in coordination with the Lead/ Senior Instrumentation Engineer, for assigned areas to ensure that the equipment and packages comply with the technical requirements & specifications of and to monitor the compliance to Client’s Basis of Design, Standards & Project Specifications.
• Continuously seek to improve discipline working methods, tools and procedures and contribute actively to “Discipline Development” and “Experience Transfer”.

Work experience requirements:

• Minimum of 3 years of work experience in instrumentation engineering activities such as preparation of data sheets, specifications, Technical Bid Evaluation reports etc in a reputed engineering consultancy.
• Applicants with less than 5 years of relevant Instrumentation Engineering experience may be considered for junior positions.

Qualifications:

• Bachelor’s Degree in Instrumentation/Electrical/Chemical Engineering with relevant work experience as per above.

Other skills:

• A self-starter who can work independently, make sound decisions, analyse problems and provide focused solutions.
• Good understanding and knowledge of oil and natural gas industry standards such as, but not limited to, API (American Petroleum Institute), ISO (International Organisation for Standardisation),IEC, NORSOK, EU Directives ATEx, IECex requirements and other relevant standards related to Instrumentation Engineering.
• Effective verbal and written communication skills in English
• Experience in engineering of Oil and Gas offshore projects would be an advantage.
• Experience in SPI/Aveva Instrumentation would be an advantage.
• Applicant shall have strong computer literacy in commonly used business software applications such MS Word, MS excel, Teams etc.
  
  We regret that only shortlisted candidates will be notified.

About the role

We are looking for a Senior AI/ML expert with a combination of Engineering/Applied Research experience to help us develop our foundational logical reasoning AI system. You will have worked in AI/ML for several years to have experienced, researched/applied different neural network architectures to various problems (e.g. natural language, vision, graphs, symbolic, formal domains), using several model training and optimization techniques (e.g. value models, reinforcement learning, search strategies), and across modalities (text, audio, video). A strong track record in graphs (graph theory, GNNs, GraphML, etc.), and ML-based code synthesis and/or validation will be invaluable. We are especially keen on candidates who have applied ML to real-world physical/materials/etc. engineering applications/use cases – either directly as a full-time or even as an expert consultant across industries/domains.

Key responsibilities

• Design, develop, deploy and evaluate novel machine learning models and algorithms to solve theorem proving as a foundational framework to developing logical reasoning in AI
• Apply various ML techniques, including supervised, unsupervised, and reinforcement learning
• Work with large datasets to preprocess, clean, and transform data for model training and evaluation
• Implement data pipelines and ETL processes to ensure efficient data flow and accessibility
• Design and conduct experiments, analyze results, develop metrics and benchmarks profile and optimize the performance of machine learning models

Desired Experience & Qualifications

• Bachelor's, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field
• 1+ years in machine learning, AI, or related fields
• Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with data engineering tools and platforms such as Apache Spark, Hadoop, or similar
• Experience with MLOps practices and tools for model deployment, monitoring and logging such as Prometheus, Grafana, or ELK stack
• Experience with deep learning architectures and techniques, especially across domains, including vision, natural language, graphs; bonus for other NN architectures, e.g. symbolic, GraphML, etc
• Experience with program/code synthesis or models focused on systems design generation
• Experience applying ML to various real-world and engineering use cases
• Familiarity with cloud platforms and their ML toolkits, especially containerization and orchestration tools such as Docker and Kubernetes
• Familiarity with CI/CD tools like Jenkins, GitLab CI, or CircleCI
• Contributions to open-source projects in machine learning or AI communities

Hummingbird Bioscience is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all Singapore and US federal, state and local laws and/or guidelines that prohibit employment discrimination on the basis of age, race, color, gender, sexual orientation, gender identity, ethnicity, national origin, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions, marital status, protected veteran status and other protected classifications.

We are seeking a skilled and proactive Network Maintenance Engineer to provide comprehensive support for multiple customer network environments. This role involves maintaining and troubleshooting a wide range of network devices, including routers, switches, access points (APs), Wireless LAN Controllers (WLCs), Cisco Identity Services Engine (ISE), as well as supporting Windows servers and laptops. The ideal candidate will have a strong background in helpdesk support, network and system maintenance, with a customer-focused and solution-oriented mindset.

Key Responsibilities:

• Helpdesk and Troubleshooting:
  • Act as the primary point of contact for support requests across multiple customer environments.
  • Investigate and resolve network and system-related issues, such as connectivity problems, faulty devices, or server issues.
  • Provide laptop and Windows server support, addressing common problems like login failures, configuration errors, and hardware issues.
  • Simulate customer environments to replicate and diagnose complex issues.
  • Document resolutions and create knowledge-based articles for future use.
  • Stay updated on changes across all supported customer environments.
• Maintenance and Change Request:
  • Replace or repair faulty network and system equipment, such as access points, switches, and laptops.
  • Implement minor network and system configuration changes, including enabling switch ports, changing VLANs, onboarding new devices to Cisco ISE, or updating Windows server configurations.
  • Firmware and OS patching for network and system equipment.
  • Ensure all network and system devices are operating optimally and securely.
• 24x7 Standby and Incident Response:
  • Participate in a 24x7 standby rotation with a duty phone for handling urgent incidents.
  • Respond promptly to calls and emails, diagnosing and resolving issues to restore normal operations.
  • Manage multiple incidents simultaneously, ensuring effective communication and resolution for all customers.
• Testing and Collaboration:
  • Test product updates, patches, and integrations to ensure compatibility and stability.
  • Collaborate with internal teams and external vendors to resolve complex issues.
• Documentation:
  • Maintain detailed and accurate documentation of network configurations, system setups, incident responses, and maintenance procedures.
  • Ensure all team members have access to up-to-date customer system information.

Required Qualifications:

• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience: Minimum of 1 year of experience as a maintenance engineer, with a focus on maintenance of enterprise environments, preferably in customer-facing roles.

Technical Skills:

• Proficiency in working with various network products, including Cisco, Juniper, Alcatel, and Aruba.
• Strong expertise in maintaining and troubleshooting network components such as routers, switches, APs, WLCs, and Cisco ISE.
• Experience in supporting Windows servers and laptops, including hardware and software troubleshooting.
• Familiarity with common system administration tasks like user account management, group policies, and server configuration.
• Ability to simulate customer environments for diagnostic purposes.
• Excellent communication and problem-solving skills with a customer-centric approach.
• Detail-oriented with the ability to manage multiple tasks simultaneously

Preferred Qualifications:

• Certifications in networking related technologies.
• Experience in a maintenance-focused role serving multiple external customers.

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and customer service abilities.
• Ability to work under pressure and manage critical incidents effectively.
• Detail-oriented with a commitment to maintaining high standards of network and system reliability.

NetVirta is a fast growing, venture-backed startup in the fashion fit technology space. If you’ve had difficulty shopping online because you couldn’t find clothing or footwear that fit, you’ve experienced the problem we address. It’s an issue that troubles shoppers around the world and NetVirta is uniquely positioned to solve it.

Founded by two MIT graduates and located in Boston and Singapore, NetVirta is the world’s leading fit technology provider for medical, retail and sports equipment brands, helping customers order the right size with precision 3D body scanning. We began serving the medical industry in 2013, helping doctors scan medical patients to create custom-fit orthotics and prosthetics. In 2017, we expanded to enable NFL and NCAA football players to obtain custom-fit helmets. Fast forward to 2022, NetVirta’s closed deals with multiple clothing and footwear brands in North America, Europe, and Asia.

We are proud to be certified as Great Place to Work® in Singapore.

What can you expect?

We are seeking a Machine Learning Engineer / Researcher who will assist the development and deployment of advanced machine learning models to power our recommendation system and search engine. In this role, you will have opportunities to work with state-of-the-art AI techniques, including large language and vision models, integrating them to complement our recommendation system and search architecture. You will also play a vital role in maintaining and evolving our AI systems throughout the different growth stages.

Responsibilities

• Build scalable recommendation and search engines tailored to fashion content.
• Lead the design, development, and optimization of machine learning models, especially in the context of fashion recommendation systems and search engines.
• Integrate various techniques to help tackle cold start problems, including

1. Content-based recommendation
2. Leveraging implicit user interaction signals
3. Large language (vision) models

Required Skills & Experience

• Bachelor’s, Master’s or PhD degree in Machine Learning, Computer Science, or a related field.
• Experience with Python and machine learning frameworks (eg., TensorFlow, PyTorch).
• Prior hands-on experience with recommendation & search systems and knowledge of its key components (retrieval, re-ranking, cold-start, etc).
• Familiarity with using large language models and computer vision techniques.
• Ability to collaborate in a fast-paced, cross-functional environment with strong communication and teamwork skills.

Good-To-Have

• Knowledge of reinforcement learning (e.g. multi-armed bandits and related techniques).
• Prior industry experience with A/B tests in the context of recommendation systems.
• Good understanding of the infrastructure behind large-scale recommendation and search systems.

What else is awaiting you?

• Career development opportunities, like mentoring, career exploration through a Japanese concept called Ikigai.
• Learning is fundamental to our culture, your growth together with Netvirta's are paramount to how we can transform the industry.
• Besides hard work, we value your well-being and want you to have fun too! Attractive compensation and benefits as well as engagement and welfare activities awaits you.
• Work alongside with friendly colleagues in a positive environment.

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

NetVirta is a fast growing, venture-backed startup in the fashion fit technology space. If you’ve had difficulty shopping online because you couldn’t find clothing or footwear that fit, you’ve experienced the problem we address. It’s an issue that troubles shoppers around the world and NetVirta is uniquely positioned to solve it.

Founded by two MIT graduates and located in Boston and Singapore, NetVirta is the world’s leading fit technology provider for medical, retail and sports equipment brands, helping customers order the right size with precision 3D body scanning. We began serving the medical industry in 2013, helping doctors scan medical patients to create custom-fit orthotics and prosthetics. In 2017, we expanded to enable NFL and NCAA football players to obtain custom-fit helmets. Fast forward to 2022, NetVirta’s closed deals with multiple clothing and footwear brands in North America, Europe, and Asia.

We are proud to be certified as Great Place to Work® in Singapore.

What can you expect?

We are seeking a Machine Learning Engineer / Researcher who will lead the development and deployment of advanced machine learning models to power our recommendation system and search engine. In this role, you will have opportunities to work with state-of-the-art AI techniques, including large language and vision models, integrating them to complement our recommendation system and search architecture. You will also play a vital role in maintaining and evolving our AI systems throughout the different growth stages.

Responsibilities

• Build scalable recommendation and search engines tailored to fashion content.
• Lead the design, development, and optimization of machine learning models, especially in the context of fashion recommendation systems and search engines.
• Integrate various techniques to help tackle cold start problems, including

1. Content-based recommendation
2. Leveraging implicit user interaction signals
3. Large language (vision) models

Required Skills & Experience

• Bachelor’s, Master’s or PhD degree in Machine Learning, Computer Science, or a related field.
• Experience with Python and machine learning frameworks (eg., TensorFlow, PyTorch).
• Prior hands-on experience with recommendation & search systems and knowledge of its key components (retrieval, re-ranking, cold-start, etc).
• Familiarity with using large language models and computer vision techniques.
• Ability to collaborate in a fast-paced, cross-functional environment with strong communication and teamwork skills.

Good-to-Have

• Knowledge of reinforcement learning (e.g. multi-armed bandits and related techniques).
• Prior industry experience with A/B tests in the context of recommendation systems.
• Good understanding of the infrastructure behind large-scale recommendation and search systems.

What else is awaiting you?

• Career development opportunities, like mentoring, career exploration through a Japanese concept called Ikigai.
• Learning is fundamental to our culture, your growth together with Netvirta's are paramount to how we can transform the industry.
• Besides hard work, we value your well-being and want you to have fun too! Attractive compensation and benefits as well as engagement and welfare activities awaits you.
• Work alongside with friendly colleagues in a positive environment.

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.

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.

1. Primary Responsibilities

• Project Maintenance Management: Oversee maintenance teams’ tasks across multiple project sites, ensuring timely, cost-effective, and quality service.
• Scheduling & Planning: Develop, schedule, and rectification procedure and ensure timely repairs.
• Budgeting & Cost Control: Manage maintenance team expenditures and track expenses, and identify cost-saving measures.
• Quality Assurance: Ensure maintenance team meets industry standards, client requirements, and conmpany’s quality guidelines.
• Risk & Compliance: Ensure adherence to safety protocols, compliance with regulatory and company standards, and mitigate risk on project sites.
• Client Liaison: Act as the primary contact for clients and consultants concerning maintenance and defect rectification.
• Vendor & Supplier Coordination: Manage relationships with suppliers, negotiate service contracts, and ensure materials meet project specifications.

2. Leadership and Team Management

• Team Supervision: Lead and manage maintenance staff, including training, scheduling, and performance evaluations.
• Training & Development: Ensure that maintenance personnel are trained in safety procedures, equipment handling, and troubleshooting.
• Performance Monitoring: Regularly assess team performance, address any gaps, and promote staff development and skill enhancement.

3. Technical Skills and Knowledge

• Technical Knowledge: Deep understanding of construction technology and method used in the industry and expertise in their maintenance and preventive requirements.
• Problem Solving: Diagnose and resolve maintenance issues efficiently to minimize inconvenience to client.
• Safety Standards: Strong knowledge of workplace safety and health regulations, particularly in construction site.
• Software Proficiency: Familiarity with relevant software for planning and record-keeping.

4. Reporting & Documentation

• Maintain accurate records of maintenance activities, including work orders, inspection reports, and incident logs.
• Provide regular updates and detailed reports to management and clients on equipment performance, maintenance costs, and any challenges.

5. Qualifications

• Education: Degree in engineering, facilities management, or related field.
• Experience: At least 7-10 years of experience in a maintenance role, with prior leadership experience preferred.
• Skills: Strong communication, negotiation, and project management skills.

6. Key Competencies

• Analytical Thinking: Ability to assess needs and identify areas for improvement.
• Attention to Detail: Precision in inspection, rectification procedures, and adherence to protocols.
• Time Management: Efficiently prioritize tasks and manage resources to meet deadlines.
• Adaptability: Ability to handle unexpected challenges and adjust maintenance plans as needed.

Engineering technicians,Installation: Setting up and testing products to ensure they work correctly,Maintenance: Performing regular checks and troubleshooting to ensure equipment is operating at its best,Repair: Using diagnostic tools to determine repair plans and fixing issues that may interfere with daily functions,Support: Providing on-site assistance with hardware and software use, and addressing technical issues,Training: Teaching customers how to use their products.

1. Primary Responsibilities

• Project Maintenance Management: Oversee maintenance teams’ tasks across multiple project sites, ensuring timely, cost-effective, and quality service.
• Scheduling & Planning: Develop, schedule, and rectification procedure and ensure timely repairs.
• Budgeting & Cost Control: Manage maintenance team expenditures and track expenses, and identify cost-saving measures.
• Quality Assurance: Ensure maintenance team meets industry standards, client requirements, and conmpany’s quality guidelines.
• Risk & Compliance: Ensure adherence to safety protocols, compliance with regulatory and company standards, and mitigate risk on project sites.
• Client Liaison: Act as the primary contact for clients and consultants concerning maintenance and defect rectification.
• Vendor & Supplier Coordination: Manage relationships with suppliers, negotiate service contracts, and ensure materials meet project specifications.

2. Leadership and Team Management

• Team Supervision: Lead and manage maintenance staff, including training, scheduling, and performance evaluations.
• Training & Development: Ensure that maintenance personnel are trained in safety procedures, equipment handling, and troubleshooting.
• Performance Monitoring: Regularly assess team performance, address any gaps, and promote staff development and skill enhancement.

3. Technical Skills and Knowledge

• Technical Knowledge: Deep understanding of construction technology and method used in the industry and expertise in their maintenance and preventive requirements.
• Problem Solving: Diagnose and resolve maintenance issues efficiently to minimize inconvenience to client.
• Safety Standards: Strong knowledge of workplace safety and health regulations, particularly in construction site.
• Software Proficiency: Familiarity with relevant software for planning and record-keeping.

4. Reporting & Documentation

• Maintain accurate records of maintenance activities, including work orders, inspection reports, and incident logs.
• Provide regular updates and detailed reports to management and clients on equipment performance, maintenance costs, and any challenges.

5. Qualifications

• Education: Degree in engineering, facilities management, or related field.
• Experience: At least 7-10 years of experience in a maintenance role, with prior leadership experience preferred.
• Skills: Strong communication, negotiation, and project management skills.

6. Key Competencies

• Analytical Thinking: Ability to assess needs and identify areas for improvement.
• Attention to Detail: Precision in inspection, rectification procedures, and adherence to protocols.
• Time Management: Efficiently prioritize tasks and manage resources to meet deadlines.
• Adaptability: Ability to handle unexpected challenges and adjust maintenance plans as needed.

Job Description

• Lead and guide sub-contractor to achieve quality workmanship
• Handle paperworks , defects issuance and reporting
• Conduct defects investigation and identification

Requirement

• Minimum 4 years in CONQUAS
• Possess at least 2 good industry practices certificates
• Microsoft office knowledge
• Able to communicate with client and consultant

Job Description

• Carry out routine maintenance and repair work (Machine and Facilities)
• Perform plumbing, painting, and minor repairs
• Provide technical support and training to staff
• Implement preventive maintenance schedules
• Ensure compliance with health and safety regulations

Job Requirements

• Electrical/Mechanical engineering knowledge is an advantage
• Machinery repair and maintenance is an advantage
• Able to work as a team and individually
• Must be willing to be hands on
• Able to do overtime and work on Saturday and Sunday if required

Remuneration: Basic with AWS & VB

+ $120 Transport Allowance + $66 (Flexible Benefit Allowance) + eMedical Card (cover spouse + children under 18)

Work location: MacPherson

Working hours: Monday to Friday

Job Description:

• Responsible for planning and implementing the execution of preventive and corrective programs within schedule in compliance to regulatory standards and requirements.
• Perform troubleshooting/ faut diagnosis/ failure analysis to determine cause of failure for equipment.
• Development of Standard Operating procedures (SOP) and Work Instructions (WI) to technicians to develop their competence.
• Develop and perform Risk Assessments to evaluate mitigation measures for all maintenance activities.
• Establish and maintain proper document system to achieve all jobs internally for sharing and audit purposes.
• Assist in identification, planning and reviewing of necessary training needs for mentoring and coaching of maintenance staffs.
• Preparation and write maintenance and spares consumption report.
• Perform other duties as instructed by Management.

Job Requirements:

• Degree in Maintenance Engineering or related discipline
• 2–3 years of relevant work experience
• Ability to relate work with different stakeholders
• Proficiency in Excel, Words and Powerpoint
• Able to think and work independently and as a team member in a challenging environment

Daniel Wilson | Reg No.: R24125247

Recruit Now Singapore Pte Ltd | EA Licence No.: 21C0845

1. Primary Responsibilities

• Project Maintenance Management: Oversee maintenance teams’ tasks across multiple project sites, ensuring timely, cost-effective, and quality service.
• Scheduling & Planning: Develop, schedule, and rectification procedure and ensure timely repairs.
• Budgeting & Cost Control: Manage maintenance team expenditures and track expenses, and identify cost-saving measures.
• Quality Assurance: Ensure maintenance team meets industry standards, client requirements, and conmpany’s quality guidelines.
• Risk & Compliance: Ensure adherence to safety protocols, compliance with regulatory and company standards, and mitigate risk on project sites.
• Client Liaison: Act as the primary contact for clients and consultants concerning maintenance and defect rectification.
• Vendor & Supplier Coordination: Manage relationships with suppliers, negotiate service contracts, and ensure materials meet project specifications.

2. Leadership and Team Management

• Team Supervision: Lead and manage maintenance staff, including training, scheduling, and performance evaluations.
• Training & Development: Ensure that maintenance personnel are trained in safety procedures, equipment handling, and troubleshooting.
• Performance Monitoring: Regularly assess team performance, address any gaps, and promote staff development and skill enhancement.

3. Technical Skills and Knowledge

• Technical Knowledge: Deep understanding of construction technology and method used in the industry and expertise in their maintenance and preventive requirements.
• Problem Solving: Diagnose and resolve maintenance issues efficiently to minimize inconvenience to client.
• Safety Standards: Strong knowledge of workplace safety and health regulations, particularly in construction site.
• Software Proficiency: Familiarity with relevant software for planning and record-keeping.

4. Reporting & Documentation

• Maintain accurate records of maintenance activities, including work orders, inspection reports, and incident logs.
• Provide regular updates and detailed reports to management and clients on equipment performance, maintenance costs, and any challenges.

5. Qualifications

• Education: Degree in engineering, facilities management, or related field.
• Experience: At least 7-10 years of experience in a maintenance role, with prior leadership experience preferred.
• Skills: Strong communication, negotiation, and project management skills.

6. Key Competencies

• Analytical Thinking: Ability to assess needs and identify areas for improvement.
• Attention to Detail: Precision in inspection, rectification procedures, and adherence to protocols.
• Time Management: Efficiently prioritize tasks and manage resources to meet deadlines.
• Adaptability: Ability to handle unexpected challenges and adjust maintenance plans as needed.

Job Description

• Lead and guide sub-contractor to achieve quality workmanship
• Handle paperworks , defects issuance and reporting
• Conduct defects investigation and identification

Requirement

• Minimum 4 years in CONQUAS
• Possess at least 2 good industry practices certificates
• Microsoft office knowledge
• Able to communicate with client and consultant

You will drive R&D initiatives to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. On a daily basis, you will:

• Define and influence the direction of the team, organization, and/or department
• Advise leaders on technology problems and solutions
• Connect and drive business impact through technology solutions
• Formulate problems, architect solutions, and design processes
• Prototype, evaluate, implement, and iterate on solutions
• Pioneer research into state of the art solutions and systems for autonomous vehicles
• Productionize and deploy solutions onto autonomous vehicle fleets
• Mentor and grow junior and experienced engineers and researchers
• Help create and reinforce a culture of inclusion, innovation, and excellence

What We’re Looking For:

• Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking
• Effectiveness at leading and executing large, complex technical initiatives
• Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Experience with PyTorch or other deep learning frameworks
• Experience working with large data sets and deriving insights from data
• Experience mentoring and leading others

technical understanding requirement .

a) understands the drawings and scope of works

b) understands the implications of different technicalchoice so as to meet the project objectives

c) involve in providing value engineering solutions basing on his knowledge .

d) to have knowledge in the preparationof engineering proect proposals and method statements .

e) carry out project objectives so align with company goals.

f) to co-ordinate program and monitor site work , materials , plant and equipment .

g) involving in client /consultant / sub-contractor meetings .

h) to carry out short term planning to meet site progress .

g) shop / as build drawing preparation .

h) Assists project manager in monthly progree report

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.

• Preferably with minimum 1 year experience in Data Center Facilities Management & Operations environment and service delivery.
• ITE/Diploma in Electrical or Mechanical engineering or equivalent qualification
• 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

1. Primary Responsibilities

• Project Maintenance Management: Oversee maintenance teams’ tasks across multiple project sites, ensuring timely, cost-effective, and quality service.
• Scheduling & Planning: Develop, schedule, and rectification procedure and ensure timely repairs.
• Budgeting & Cost Control: Manage maintenance team expenditures and track expenses, and identify cost-saving measures.
• Quality Assurance: Ensure maintenance team meets industry standards, client requirements, and conmpany’s quality guidelines.
• Risk & Compliance: Ensure adherence to safety protocols, compliance with regulatory and company standards, and mitigate risk on project sites.
• Client Liaison: Act as the primary contact for clients and consultants concerning maintenance and defect rectification.
• Vendor & Supplier Coordination: Manage relationships with suppliers, negotiate service contracts, and ensure materials meet project specifications.

2. Leadership and Team Management

• Team Supervision: Lead and manage maintenance staff, including training, scheduling, and performance evaluations.
• Training & Development: Ensure that maintenance personnel are trained in safety procedures, equipment handling, and troubleshooting.
• Performance Monitoring: Regularly assess team performance, address any gaps, and promote staff development and skill enhancement.

3. Technical Skills and Knowledge

• Technical Knowledge: Deep understanding of construction technology and method used in the industry and expertise in their maintenance and preventive requirements.
• Problem Solving: Diagnose and resolve maintenance issues efficiently to minimize inconvenience to client.
• Safety Standards: Strong knowledge of workplace safety and health regulations, particularly in construction site.
• Software Proficiency: Familiarity with relevant software for planning and record-keeping.

4. Reporting & Documentation

• Maintain accurate records of maintenance activities, including work orders, inspection reports, and incident logs.
• Provide regular updates and detailed reports to management and clients on equipment performance, maintenance costs, and any challenges.

5. Qualifications

• Education: Degree in engineering, facilities management, or related field.
• Experience: At least 7-10 years of experience in a maintenance role, with prior leadership experience preferred.
• Skills: Strong communication, negotiation, and project management skills.

6. Key Competencies

• Analytical Thinking: Ability to assess needs and identify areas for improvement.
• Attention to Detail: Precision in inspection, rectification procedures, and adherence to protocols.
• Time Management: Efficiently prioritize tasks and manage resources to meet deadlines.
• Adaptability: Ability to handle unexpected challenges and adjust maintenance plans as needed.

Job Description

• Lead and guide sub-contractor to achieve quality workmanship
• Handle paperworks , defects issuance and reporting
• Conduct defects investigation and identification

Requirement

• Minimum 4 years in CONQUAS
• Possess at least 2 good industry practices certificates
• Microsoft office knowledge
• Able to communicate with client and consultant

Job Description

• Carry out routine maintenance and repair work (Machine and Facilities)
• Perform plumbing, painting, and minor repairs
• Provide technical support and training to staff
• Implement preventive maintenance schedules
• Ensure compliance with health and safety regulations

Job Requirements

• Electrical / Mechanical engineering knowledge is an advantage
• Machinery repair and maintenance is an advantage
• Able to work as a team and individually
• Must be willing to be hands on
• Able to do overtime and work on Saturday and Sunday if required

Main Responsibilities

1. Coordinate maintenance contractors, review checklists and ensure customer D.O. sign-off within the time.
2. Support Data analytics team with ongoing improvement on automation of data gathering, analysis and reporting, including fault detection and root cause identification
3. Prepare and maintain comprehensive energy conservation action plan to include previous and ongoing efforts and short, intermediate and long-term goals
4. Prepare operational and maintenance schedule as per MIS
5. Work closely and collaborate with the customer support team to ensure customer satisfaction.
6. Identify potential upselling opportunities at client site during regular or ad-hoc maintenance
7. Remote monitoring of the system operation and performance and reach site if any emergency.
8. Familiarization of Refrigeration System Chillers & Freezers, Compressors, Cooling towers, FCUs, Cold room, ETV doors and related controllers.
9. Working with a team and deliver the work within the planned schedule.
10. Collect the onsite operating parameters like cold room and space temperature and verify with SCADA.
11. Collaborate with Internal teams regarding any controls and programming related onsite works.

Qualifications

1. Diploma, Bachelor of Engineering Mechanical, Electrical or Equivalent
2. Electrical or Mechanical troubleshooting experience would be advantageous
3. HVAC knowledge of Chiller Plant, FCU, SCADA, Air side equipment
4. Strong communication and analytical skills.

1. Primary Responsibilities

• Project Maintenance Management: Oversee maintenance teams’ tasks across multiple project sites, ensuring timely, cost-effective, and quality service.
• Scheduling & Planning: Develop, schedule, and rectification procedure and ensure timely repairs.
• Budgeting & Cost Control: Manage maintenance team expenditures and track expenses, and identify cost-saving measures.
• Quality Assurance: Ensure maintenance team meets industry standards, client requirements, and conmpany’s quality guidelines.
• Risk & Compliance: Ensure adherence to safety protocols, compliance with regulatory and company standards, and mitigate risk on project sites.
• Client Liaison: Act as the primary contact for clients and consultants concerning maintenance and defect rectification.
• Vendor & Supplier Coordination: Manage relationships with suppliers, negotiate service contracts, and ensure materials meet project specifications.

2. Leadership and Team Management

• Team Supervision: Lead and manage maintenance staff, including training, scheduling, and performance evaluations.
• Training & Development: Ensure that maintenance personnel are trained in safety procedures, equipment handling, and troubleshooting.
• Performance Monitoring: Regularly assess team performance, address any gaps, and promote staff development and skill enhancement.

3. Technical Skills and Knowledge

• Technical Knowledge: Deep understanding of construction technology and method used in the industry and expertise in their maintenance and preventive requirements.
• Problem Solving: Diagnose and resolve maintenance issues efficiently to minimize inconvenience to client.
• Safety Standards: Strong knowledge of workplace safety and health regulations, particularly in construction site.
• Software Proficiency: Familiarity with relevant software for planning and record-keeping.

4. Reporting & Documentation

• Maintain accurate records of maintenance activities, including work orders, inspection reports, and incident logs.
• Provide regular updates and detailed reports to management and clients on equipment performance, maintenance costs, and any challenges.

5. Qualifications

• Education: Degree in engineering, facilities management, or related field.
• Experience: At least 7-10 years of experience in a maintenance role, with prior leadership experience preferred.
• Skills: Strong communication, negotiation, and project management skills.

6. Key Competencies

• Analytical Thinking: Ability to assess needs and identify areas for improvement.
• Attention to Detail: Precision in inspection, rectification procedures, and adherence to protocols.
• Time Management: Efficiently prioritize tasks and manage resources to meet deadlines.
• Adaptability: Ability to handle unexpected challenges and adjust maintenance plans as needed.