Total 1,531 operations engineer job vacancies in Maintenance / Repair category in Singapore

Description

To plan and schedule for maintenance activities, shutdown works, as well as capital expenditure (Capex) projects.

To work with other professionals in the projects and other discipline to improve production facilities, reduce the incidence of costly breakdowns, and develop strategies, procedures and method to improve overall reliability and safety of personnel and processes.

Responsibilities

• To promote the improvement of overall reliability, preventive and corrective maintenance, in addition to responding to breakdowns.

• To plan and schedule planned and unplanned work.

• To assist in scope development of all major and turnaround maintenance events.

• To monitoring and controlling maintenance timeline and costs.

• To write maintenance strategies to help with installation guidelines.

• To plan monthly work schedule and set productivity to be achieved.

• To be responsible for the delivery of maintenance activities in compliance with system specifications.

• To be involved in maintenance/project management.

• To be involved in all site meetings.

• To support pre-startup maintenance activities to add value to subsequent maintenance services that follow.

• To verify technical specifications for adequacy.

• To respond to operational and maintenance issues and provide solutions that are both safe and cost effective.

• To ensure proper planning of materials availability at site for maintenance/ corrective works.

• To liaise with Client’s Representative on all maintenance/ project issues and sub-contractors coordination works.

• To arrange specialist procurement of fixtures, fittings or components; controlling maintenance tools, stores and equipment.

• To initiate and undertake action to prevent the occurrence of non-conformity.

• To identify and record any product quality problems and to verify the implementation of solutions.

• To enforce Client, Company and regulatory guidelines for corrective action and work management processes.

• To assess and implement new maintenance technologies that promotes and improve work efficiency and productivity.

• To prepare commercial and technical proposals.

Requirements

• Diploma or Degree in Engineering (Mechanical/Maintenance) or equivalent preferred

• Minimum 2 to 5 years of relevant working experience as Maintenance Engineer handling maintenance projects in Oil and Gas industry and petrochemical industries preferred

• Those with experience with Computerized Maintenance Management System will be an added-advantage.

• Responsible for corrective and preventive maintenance of plant machinery and monitoring of critical spare parts.
• Carry out corrective maintenance on plant machines.
• Support on preventive maintenance and machine repair.
• Attend to machines installation, modification, safety items, laboratory equipment, etc.
• Identify and carry out improvement items for machines.
• Liaise with machine agents for repair or maintenance of machines.

Requirements:

• Degree in Electrical/Electronic or Mechanical Engineering
• Prefer 2-3 year(s) of experience in maintenance/repair of machine in a manufacturing environment.
• Good trouble shooting, presentation and analytical skills.
• Good knowledge of PLC programming skills.
• Self-disciplined, independent and able to work under pressure.
• Able to communicate with all levels of staff.
• Able to commit to 12 hours shift work.

Manufacturing Industry

Loyang Area

Interested Applicants, kindly email your detailed resume to [email protected]

Tempserv Pte Ltd

License No : 06C3745

Audris Teo/ EA Personnel No: R1102063

• Support the organization's data Centre services through active 24x7 monitoring of the infrastructure
• Perform 24x7 monitoring of BMS systems (upstream to downstream), critical facilities equipment, and other equipment associated with the data center environment including fire safety, plumbing, mechanical, and electrical systems.
• Coordinate and provide support to contractors and vendors as well as inspecting completed work. Follow the implementation of data center safety, security, and customer support policy and procedures.
• Plan and support all preventive and reactive maintenance activities with little to no disruption to company's services
  

Requirements

• ITE Certificate or Diploma in Electrical/Mechanical Engineering or related field
• Min 1 year of relevant work experience in 24x7 DC or facility operations environment
• Broad knowledge in DC facilities related systems such as PDUs, UPS, DC Rectifier, DRUPs, CRAUs, DX cooling, fire protections, etc
• Shift schedule is 12 hours rotational (8am to 8pm)/ (8pm to 8am) | 3 days work 2 days off including weekends/public holidays.
  

Interested candidates, who wish to apply for the advertised position, please email us an updated copy of your resume.We regret that only shortlisted candidates will be notified.

CODE: PRIT

EA License No.: 01C4394

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Employer questions

Job Description:

• Responsible for carrying out field duties according to the Standard Operating Procedures (SOPs) and / or Operation Supervisor’s instructions.
• Perform unit start-up, shutdown and plant turnaround activities according to the Standard Operating Procedures (SOPs).
• Perform planned rounds (Field / DCS) and take corrective action to maintain equipment and plant operations within safe operating limits and product quality compliance.
• Monitor unit performance to ensure safe and optimal operation of the plant equipment, pipeline distribution network and other facilities.
• Prepare process equipment for maintenance service, this includes line purging, LOTO.
• Take part in operating procedures development and prepare job pack documentation for equipment repair.
• Perform troubleshooting, resolve field operational issues and provide support for engineering, operation and maintenance teams.
• Execute according to production schedules and achieve operation targets in a cost-effective manner.
• Perform any other tasks which may be assigned to him by Ops Supervisor or Ops Manager.
• Safety is a core value at Veolia, and a precondition for employment. You are expected to uphold the Veolia Always Safe rules and set an example to all colleagues in your daily work routine.
• Ethics and compliance are two areas where our rules and our standards are strictly non-negotiable. You are expected to stick to ethics and compliance rules and standards which ultimately mean doing your job properly and conducting our business like true professionals, whatever our missions and our place in the Group.

Job Requirements:

• Minimum GCE ‘N’ Level certification with 3 – 5 years of relevant work experience.
• Candidates without any relevant experience will be considered as training will be provided.
• Experience in ISO-tanker unloading, incineration and water treatment operations will be added advantages.
• Candidate with a forklift licence is a plus point.
• Must be prepared to work rotating shifts, weekends and Public Holidays.
• An effective team player with good communication skills.

Successful candidate will be working in the main office located at 15 Tuas View Circuit, Singapore 636968. Company transport is provided.

Summary

The APAC Business Technology Team within Johnson & Johnson Innovative Medicine, is looking for an extraordinary GenAI and Machine Learning Engineering Lead who is passionate about crafting, developing, and fielding data science solutions that drive impact for HCP (Health Care Professional) and patients.

As the regional Gen AI and Machine Learning engineer, you will be responsible for designing and building GenAI and machine learning engineering solutions across the region. You will leverage your technical expertise, experience, and communication skills to work across business & technology teams productionize innovative data science models and applications. Your technical knowledge and ability to apply them, will be paramount to your success in this role. Focus areas include (but not limited) to patient analytics, commercial strategy, and patient support program analytics. Specifically, you will build end-to-end machine learning pipelines by developing and applying creative solutions that go beyond current tools and work together with data scientist to deliver scalable, reusable, extensible and flexible solution.

• Deliver end to end GenAI and machine learning applications for our key projects across the region.
• Execute the regional GenAI strategy including people, technology, platforms, and process.
• Collaborate with platform teams and solution architect to evolve our big data platforms and evaluate various data science technologies and services.
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.

You will be someone who stays on the cutting edge of artificial intelligence, data science and software engineering through novel project execution and development of algorithms that improve organizational performance and commercial effectiveness. The role requires both a broad knowledge of existing software development lifecycle, AI algorithms and the creativity to invent and customize when necessary. You will work with matrixed teams across business and technology, and will be part of a dynamic, accomplished organization that will support multiple therapeutic areas.

Responsibilities

GenAI Solution Architecture Design and Implementation

• Lead a team of AI engineers, and DevOps specialists to design, develop, and optimize Generative AI architectures tailored to specific use cases and business requirements.
• Collaborate with data scientist to drive the end-to-end implementation of GenAI models, including training, fine-tuning, and deployment.

Prompt Engineering

• Collaborate with data scientists to create and refine prompts for various AI applications
• Develop advanced prompt engineering techniques to enhance the performance and accuracy of GenAI models.

Machine Learning Solution build and deployment:

• Collaborate with data scientist and other technology teams to design and build machine learning engineering solution for the region.
• Establish and maintain ML pipelines to automate the training, testing, and deployment of AI models.
• Implement CI/CD practices to ensure continuous integration and delivery of AI solutions.
• Monitor and manage the lifecycle of deployed models, ensuring they meet performance and reliability standards.

Cloud AI Solutions (AWS and Azure):

• Architect and implement scalable AI solutions on cloud platforms such as AWS and Azure.
• Utilize cloud services to manage and deploy AI models, ensuring high availability and performance.

Research and Innovation:

• Stay updated with the latest advancements in Generative AI, cloud technologies, and MLOps practices, and bring them to the team.
• Drive innovation by exploring new tools, techniques, and methodologies to improve AI capabilities and efficiencies.

Qualifications

Required Minimum Education: Bachelor’s degree

Required Years of Related Experience: Minimum of 7 years professional experience is required with a minimum of 5 years building machine learning model development is preferred

• Proven track record in designing and building GenAI solutions, with a strong expertise in prompt engineering, LlamaIndex, Langchain, RAG, AI red teaming libraries, LLM monitoring and evaluation.
• Minimum 4+ years of experience in Machine learning engineering and MLOps, developing end-to-end machine learning pipelines. Must have a proven ability to take solutions to production, while effectively monitoring and maintaining them.
• Over 7+ years of experience in the software development lifecycle as a developer, with a focus on writing production code.
• Must have hands-on experience working with software development toolkits, and devOps automation like Kubernetes, Airflow, Jenkins, Jira, Confluence and Git.
• Excellent programming skills in Python and proficiency in PySpark.
• Experience in DataBricks, AWS Sagemaker and Azure ML is plus.
• Strong leadership skill with ability to influence the thought process and drive alignment.
• Excellent communication skills and a demonstrated ability to collaborate effectively with cross-functional teams.
• Self-motivated and highly driven individual who can thrive in ambiguous requirements.

Summary

The APAC Business Technology Team within Johnson & Johnson Innovative Medicine, is looking for an extraordinary machine learning engineer who is passionate about crafting, developing, and fielding data science solutions that drive impact for HCP (Health Care Professional) and patients.

As the regional machine learning engineer, you will be responsible for designing and building the machine learning engineering solutions across the region. You will leverage your technical expertise, experience, and communication skills to work across business & technology teams productionize innovative data science models and applications. Your technical knowledge and ability to apply them, will be paramount to your success in this role. Focus areas include (but not limited) to patient analytics, commercial strategy, and patient support program analytics. Specifically, you will build end-to-end machine learning pipelines by developing and applying creative solutions that go beyond current tools and work together with data scientist to deliver scalable, reusable, extensible and flexible solution.

• Deliver end to end machine learning applications for our key projects across the region.
• Execute the regional machine learning engineering strategy including people, technology, platforms, and process.
• Collaborate with platform teams and solution architect to evolve our big data platforms and evaluate various data science technologies and services.
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.

You will be someone who stays on the cutting edge of artificial intelligence, data science and software engineering through novel project execution and development of algorithms that improve organizational performance and commercial effectiveness. The role requires both a broad knowledge of existing software development lifecycle, AI algorithms and the creativity to invent and customize when necessary. You will work with matrixed teams across business and technology, and will be part of a dynamic, accomplished organization that will support multiple therapeutic areas.

Responsibilities

Build and Own Machine Learning Solutions:

• Collaborate with data scientist and other technology teams to design and build machine learning engineering solution for the region.
• Establish and maintain ML pipelines to automate the training, testing, and deployment of AI models
• Implement CI/CD practices to ensure continuous integration and delivery of AI solutions.
• Monitor and manage the lifecycle of deployed models, ensuring they meet performance and reliability standards.

Cloud AI Solutions (AWS and Azure):

• Architect and implement scalable AI solutions on cloud platforms such as AWS and Azure.
• Utilize cloud services to manage and deploy AI models, ensuring high availability and performance.

Research and Innovation:

• Stay updated with the latest advancements in data science, cloud technologies, and MLOps practices, and bring them to the team.
• Drive innovation by exploring new tools, techniques, and methodologies to improve AI capabilities and efficiencies

Qualifications

Required Minimum Education: Bachelor’s degree

Required Years of Related Experience: At least 5 years' professional experience is required with at least 3 years of production grade machine learning model development experience.

• Minimum 3 years of experience in Machine Learning and MLOps, developing end-to-end machine learning solutions. Must have proven ability to take solutions to production, while effectively monitoring and maintaining them.
• Over 6+ years of experience in the software engineering lifecycle as a developer, with a focus on writing production code.
• Excellent programming skills in Python and proficiency in PySpark.
• Must have hands-on experience working with software development toolkits and devOps automations like Kubernetes, Airflow, Jenkins, Jira, Confluence, and Git.
• Strong working knowledge of deep learning and machine learning techniques such as regression, decision trees, Bayesian models, clustering etc.
• Hands-on experience working with cloud solutions, specifically AWS and Azure.
• Experience in Databricks, Azure ML, AWS Sagemaker is a plus.
• Excellent communication skills and a demonstrated ability to collaborate effectively with cross-function teams.
• Self-motivated and highly driven individual who thrives under ambiguous requirements

Job Scope

• Responsible for providing sterile and serviceable surgical instruments and equipment.
• Involved in the decontamination, inspection, preparation, packaging, sterilization, storage and distribution of the sterile devices to operating theatres and procedural rooms.
• Involved in projects involving work-process improvements as you gain experience in the department.

Requirement

• Min NITEC in Mechanical Engineering, Precision Engineering or related fields
• Must be fully COVID-19 Vaccinated (Completed all 3 jabs)

Working Hours

Able to perform 3 rotating shifts (8am to 4.35pm; 1pm to 9.35pm; 9pm to 7.30am), including weekends and public holidays

Interested applicants, please email your updated CV to [email protected] or WA 91792208 for more information.

We regret to inform that only shortlisted applications will be contacted.

Recruiter's Ref Code: #HHM

EA Personnel No: R21103938

EA Personnel Name: Reina Ng Hwee Min

Company Registration Number: Recruit Express Pte Ltd (99C4599)

Job Scope

• Assist in the management of facilities and systems.
• Project management of new building construction
• Maintenance of existing structures
• Develop programmes for planned maintenance and services.
• Manage service partners and contractors
• Provide technical advice to user departments.
• Coordinate Fire Safety and Green Mark related tasks to ensure statutory compliance
• Investigate safety incidents and prepare reports

Requirement

• Bachelor Degree in Mechanical / Mechatronics Engineering

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

** We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

JobStudio Pte Ltd

EA License No: 10C4754

EA Personnel: Pearly Poh

EA Personnel Reg No: R2089904

Job Description:

• Responsible for the projects and addition & alteration works of hospital, medical centre and other associated business unit as instructed by the management
• Track preventive maintenance works and service contracts for the department and support the car park operations
• To assist in projects and addiction & alteration works as assigned by Head of Department or reporting Supervisor
• Facilitate and manage assigned projects within given deadline & budget
• Independent and resourceful. Good problem solving & analytical skills
• Able to work well with people from across different departments and levels
• Support the car park operations
• Assist in any other duties assigned
• Able to manage the work schedule of contractors/ vendors to ensure the work / project within the timeline with minimum disruption to the patients and staff
• Work with colleagues and contractors to ensure al physical plants and equipment are serviced as planned
• Any other duties assigned by the Senior Technician/Engineer/Supervisor.

Interested candidate, kindly send a copy of your resume to [email protected]



Adeline Lim Xin Ying [R23112000]

Email Address: [email protected]

Recruit Express Pte Ltd

EA Licence No: 99C4599

Your Mission

This position is responsible for planning, coordinating, and executing the overall electrical maintenance of various electrically powered and controlled machinery and equipment.

What To Expect

• Plan and direct preventive maintenance on electrical systems, equipment, and machinery.
• Develop training programs to enhance the capabilities of maintenance engineers and technicians, including relevant technical knowledge and new equipment and technologies.
• Devise and implement continuous improvement plans for manufacturing equipment.
• Allocate and monitor the maintenance budget and expenditures.
• Conduct troubleshooting and maintenance for ad-hoc issues.
• Maintain appropriate inventory and stock levels of spare parts.
• Manage maintenance service suppliers, including machinery maintenance service providers, through regular contracts and other methods to ensure consistent high-quality performance.
• Support the maintenance department in managing key maintenance metrics such as budget, downtime, personnel, preventive maintenance, spare parts, and computer systems.
• Regularly report work status and key metrics.
• Comply with applicable standards (e.g., ISO 9001, ISO 14001, ISO 45001), laws, and internal guidelines.
• Lead and guide maintenance technicians in their work as needed.

What You'll Bring

• Bachelor’s Degree in Electrical Engineering or equivalent.
• 2-5 years of experience in electrical maintenance in the automated manufacturing industry preferred.
• 2-5 years of experience with electrical systems such as motors (SEW, Siemens), circuit breakers (SE), and contactors (SE).
• 2-5 years of experience with control systems such as PLC (Siemens), sensors (IFM, SICK), and relays (Omron).
• Basic to intermediate level in Siemens PLC, industrial ethernet protocols (PROFINET, EtherCAT, MODBUS TCP) and IO-LINK sensors and masters (install, fix, change, and re-setup).
• Basic to intermediate level in installation and setup of Siemens servo drives, inverters, motors and AC induction motors.
• Understanding of electrical wiring schematic drawing tools, power distribution panels, components, and grounding.
• Understanding of electrical systems, equipment, machinery and electropneumatic circuits.
• Knowledge of electrical maintenance and troubleshooting techniques.
• Understanding of SAP preventive and material management modules.
• Proficiency in MS Office skills and AutoCAD.
• Open-minded individual who seeks mutual growth with the company.
• Self-motivated and proactive personality.
• Problem-solving skills with logical thinking.

Let’s talk about the team

Join our Center of Excellence for Generative AI Team as a Senior Machine Learning Engineer (MLE) to advance Generative Artificial Intelligence (Gen AI) and Machine Learning (ML) initiatives that drive our business in an “AI First” approach. ResMed's commitment to improving the lives of sleep apnea patients through our extensive sleep data offers unparalleled opportunities for AI/ML innovation. In this role, you'll spearhead projects that transform patient care, provider experience, and operations efficiencies through AI.

Let’s talk about the role

As a Senior MLE, you'll not only build production-grade generative AI applications, but also develop guardrails, perform model benchmarking, and foster best practices. This involves transforming technical specs into AI/ML systems, encompassing development, testing, and monitoring. You’ll work closely with management, product management, and delivery functions to help develop technical roadmaps. You’ll help drive the adoption of generative AI across the organization by consulting product teams on their generative AI products and communicating the opportunities and limitations of generative AI to a broad audience of stakeholders. You will be working with high-achieving teammates in a global team.

Let's talk about responsibilities

• Work in a high-performing team to design and implement cutting-edge internal and external generative AI products.
• Develop guardrails, benchmarks, and best practices around generative AI.
• Spearhead the creation of POC and MVP applications to demonstrate AI/ML model value.
• Develop and deploy scalable, production-grade AI/ML.
• Facilitate design sessions to address complex AI challenges, offering insights to various company levels.
• Collaborate with cross-functional stakeholders from product management, operations, and data science to develop and deploy scalable production models.
• Mentor junior team members and foster best coding practices.

Let's talk about qualifications and experience

Qualifications

• Either: Masters or PhD in computer science, data science, or other quantitative field and 3+ years of industry experience in Machine Learning Engineering, Data Science, Data Engineering, or related fields.
• Or: 5+ years of industry experience in Machine Learning Engineering, Data Science, Data Engineering, or related fields.
• Extensive experience with Machine Learning systems, including feature/data pipelines, model training, and inference.
• Experience with natural language processing, including text processing, regex, feature engineering, and modeling.
• Expertise in Python coding.
• 5+ years of experience with AWS or other cloud platforms.
• Solid track record of serving ML models in production.

Preferred Qualifications

• Extensive experience in infrastructure tools like Terraform.
• Experience with DevOps (deployments, observability, model monitoring), unit tests, and best coding practices.
• Previous experience with generative AI.
• Advanced knowledge of RESTful APIs, and industry-standard architectural design patterns.

Let’s talk about what you can expect

• A supportive environment that focuses on people's development and best implementation
• Opportunity to design, influence, and be innovative
• Work with inclusive global teams and the open sharing of new ideas. We want your ideas!
• Be supported both inside and outside of the work environment
• The opportunity to build something meaningful and see a direct positive impact on people’s lives!
• Dream big, iterate and experiment to drive innovation.

Education / Experience:

• Degree in IT / Computer Science / Engineering, or equivalent
• Professional certifications in cyber security solutions preferred

Job Description:

• Work experience with maintaining enterprise systems with focus on cyber security
• Troubleshoot reported issue
• Liaise with technology vendors for escalation where required
• Patching and updating of tools and systems
• Prepare incident reports and maintain records of service level agreements for customers
• Maintain technical documentation

Requirements:

• Experience in Operations Support
• Experience in technologies like McAfee, Cisco, Microsoft, Thales
• Managing and executing projects based on endpoint security, data loss prevention and vulnerability management domains.

(EA Reg No: 20C0312)

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

Only shortlisted candidates will be notified.

About GlobalFoundries

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.

Your Job:

• Take ML models/algorithms from conception to production, by designing and implementing ML microservices and pipelines in production environment.
• Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain.
• This can include monitoring for data drift, triggering model retraining and setting up rollbacks.
• Maintain and continuously optimize live productive ML services with a focus on scalability, availability, and reliability.
• Strive for automation and cloud operation readiness.
• Collaborate with data scientists and data engineers to deliver ML models in productive services.
• Stay updated with the latest trends and technologies in AI/ML, GenAI and MLOps to drive innovation and system enhancements

Required Qualifications:

• Bachelor's degree in computer science or equivalent.
• A minimum of 2 years' experience in software engineering or machine learning engineering is preferred.
• Strong programming skills in Python, Java and SQL variants, with knowledge of design patterns, code optimization, and object-oriented design.
• Proficiency in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms
• Familiar with Kubernetes and Docker, including installation, deployment, configuration and optimization.
• Good understanding of ML frameworks such as TensorFlow, Keras, PyTorch.
• Experience in web development skills such as HTML, Javascript, CSS is a big plus.
• Knowledge of AWS cloud platform would be an advantage.

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.

**2 years renewable contract**

*Working location: Riffle range(shuttle bus is provided from Beauty World)

Job Description:

• Plan and supervise renovation, A&A/M&E works on fire protection system, cooling tower, air con, etc.
• Plan and supervise building services such as cleaning, landscaping, waste management, renovation.
• Plan and conduct routine inspection for building/M&E facilities works.
• Ensure contractors/vendors comply with security and safety requirements works.
• Familair with putting up paperworks for works/services to be done by contractors/vendors.
• Perform acceptance of services completed by contractor e.g. pest control, grass cutting, etc.
• Response to emergency call including after office hours e.g. power failure, fire incident, etc.

Job Requirements:

• Diploma in Facilities Management or Mechanical/Electrical Engineering.
• Class 2/3 Driving license (preferred)
• More than 5 years’ experience in Facilities/M&E maintenance.
• May be required to work on weekends for emergency/urgent works

We respect your privacy and all communication will be treated with confidentiality.

If you have meet the job requirements that we are looking for or wish to find out more on this role, please contact us or apply in-confidence to us with you updated MS Word Resume to : kelvin@starcareerconsulting.com

*We regret only shortlisted candidate would be contacted.

Kelvin Lee (Reg. No. R1872625)

STAR CAREER CONSULTING PTE LTD (EA License: 20C0353)

Maintenance Engineer

Our client is a MNC chemical manufacturer company. They are currently seeking for Maintenance Engineer.

The role of the Maintenance Engineer includes:

• Lead the Mechanical team to ensure that industrial machinery and equipment runs smoothly and reliably
• Lead improvements Projects and ensure oversee on task execution to completion.
• Creating maintenance procedures and Work Instruction
• Managing stocks of supplies and equipment
• Keeping records and pull data of faults and repairs history from SAP and prepare analyzation report for reliability action
• Any other duties and responsibilities as assigned from time to time.

Job Requirement:

• Strong mechanical background and basic electrical knowledge
• Have at least 5 working years’ experience in a process plant with maintenance experience
• Minimum diploma in mechanical
• Autonomous, good communication skills, team player, high organizational skills and analytical
• Proficient in MS Office

Interested candidates, please send your detailed resume stating Past Employments, including Reasons of Leaving, Last Drawn Salary for the most recent 2 positions (breakdown of basic salary, allowance, bonuses etc), Expected Basic Salary and availability.

WE REGRET TO INFORM THAT ONLY SHORTLISTED CANDIDATES WILL BE NOTIFIED

Manfield Employment Services Pte Ltd (Lic. No: 95C2823)
Posting Personnel: Win Hui
EA Personnel Reg No.: R23115634

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• Responsible for corrective and preventive maintenance of plant machinery and monitoring of critical spare parts.
• Carry out corrective maintenance on plant machines.
• Support on preventive maintenance and machine repair.
• Attend to machines installation, modification, safety items, laboratory equipment, etc.
• Identify and carry out improvement items for machines.
• Liaise with machine agents for repair or maintenance of machines.

Requirements:

• Degree in Electrical/Electronic or Mechanical Engineering
• Prefer 2-3 year(s) of experience in maintenance/repair of machine in a manufacturing environment.
• Good trouble shooting, presentation and analytical skills.
• Good knowledge of PLC programming skills.
• Self-disciplined, independent and able to work under pressure.
• Able to communicate with all levels of staff.
• Able to commit to 12 hours shift work.

Manufacturing Industry

Loyang Area

Interested Applicants, kindly email your detailed resume to [email protected]

Tempserv Pte Ltd

License No : 06C3745

Audris Teo/ EA Personnel No: R1102063

Job Description:

• Responsible for leading the operations team to provide smooth, efficient and effective operational support to the nursing homes branches to solve system and process issues.
• Partner with the nursing home branch managers to provide prompt facility management services, building related equipment maintenance and M&E services; to have oversight of cyclical maintenance of building and equipment in the branches including records of calibration, quality control, repair and preventive maintenance.
• Build and maintain good relationships with various internal and external stakeholders.
• Oversee outsourced management services, and review these services regularly to ensure that the services are met at a professional standard:
• Manage existing or new infrastructure or projects including project management, secretariate role, sourcing for quotations, preparation of tender documents, progress tracking, anticipation of critical issues and solutions etc.
• Lead or support projects or initiatives that will bring about innovation, improved productivity for organization, better cost-savings, improved patient experience and/or safer care for patients.
• Proactively improve existing operational capabilities to increase productivity.

Requirement

• Min Diploma / Degree in Facility Management, Engineering or equivalent from a recognized institution.
• Min. 4-5 years of relevant healthcare operations experience
• Good understanding of and experience in facilities management operations.
• Possess ability to grasp a good understanding of the direction that the organisation is taking in response to the rapidly changing healthcare delivery models
• Able to demonstrate initiatives; able to work in collaboration with other professionals in the multidisciplinary team.
• Possess good communication and interpersonal skills

Interested applicants, please email your updated CV to [email protected] or WA 91792208 for more information.

Recruiter's Ref Code: #HHM

EA Personnel No: R21103938

EA Personnel Name: Reina Ng Hwee Min

Company Registration Number: Recruit Express Pte Ltd (99C4599)

Working days: 5 days

Location: Tuas, West Side

Benefits: AWS, Bonus, Annual leave, etc.

Job Scopes:

• Implement preventive maintenance system and execute maintenance programs as scheduled for plant and machinery
• Lead Maintenance Technicians to troubleshoot, maintain, and repair CNC machines
• Identify spare parts and tools to reduce downtime
• Assist in fabricating tools for production use
• Assign manpower for minor mechanical/electrical repairs in the office building
• Promote and implement safety practices and activities in line with OHSAS and company objectives
• Coordinate and manage sub-contractors for external work
• Perform other duties as assigned by Immediate Supervisors

Requirements:

• Hold a Technical Diploma or have equivalent experience in plant and machinery maintenance
• Prefer to have at least 3 years of experience in a supervisory role

Aurora Asia Pacific (21C0671)|Ying Kee (R21103783)

Job Purpose

The Maintenance Technician performs regular checkups on equipment and preventive maintenance on machinery, repairing them in case of breakdowns.

Principal Accountabilities

1. Fixes machine breakdowns as they occur, and as requested of him by his immediate supervisor.
2. Performs regular preventive maintenance works on all machines, as per a preset schedule.
3. Assists the Maintenance Supervisor in keeping acceptable levels of spare parts and special kits, tools and equipment to maintain machines.
4. Makes sure that all machine operating manuals and catalogues (physical and electronic) are available and comprehensive.
5. Performs other duties pertinent to this job as assigned.

Communication & Working Relationships

1. Reports directly and promptly to Operations Manager
2. Keeps professional relations with peers and other employees

Knowledge, Skills, and Experience

1. Technical degree in Electrical or Mechanical fields
2. Minimum 2 years of work experience in a comparable job
3. Good working knowledge of English
4. Computer literate

Physical Requirements of the job

1. The job of the Maintenance Technician may require attending the operations (after duty hours) in case of emergencies and should always be reachable by phone.
2. It also necessitates some physical handling of products, including lifting and transportation.

Job Purpose

The Maintenance Supervisor manages all maintenance and repair work, documentation, and reporting.

Principal Accountabilities

1. Supervises all maintenance and repairs activities in the restaurant.
2. Fixes the problems of the restaurant to solve any occurring maintenance problem (electrical, mechanical, etc...).
3. Coordinates and liaises with maintenance contractors when it is necessary and approved by the management.
4. Performs on site supervision of rehabilitation works, or other significant maintenance works.
5. Prepares maintenance and repairs reports, statistics and expenses breakdown.
6. Maintains the inventory of tools and material needed for immediate maintenance cases.
7. Maintains proper documentation and filing of all maintenance work conducted on facility equipment.
8. Carries out routine preventive maintenance and minor repair works.
9. Supervises staff and lead the team to ensure maintenance programs are carried out effectively.
10. Helps develop maintenance procedures effectively by providing useful adjustments and ideas.
11. Monitors and reports the performance of direct subordinates and recommends appropriate training for them.
12. Reacts quickly and efficiently to any breakdown in order not to cause any shortage in the operations department.
13. Schedules round the clock employee coverage.
14. Assures that the workshop is well stocked with tools and spare parts.
15. Assist the project manager and works with the cleaning supervisor to maintain a clean and hazard & pest free facility.
16. Performs other duties pertinent to this job as assigned

Communication & Working Relationships

1. Interacts with different departments to ensure the delivery of accurate maintenance service (preventive and emergency)
2. Communicate professionally with suppliers while maintaining transparent and honest relationships

Knowledge, Skills, and Experience

1. Certificate or Diploma equivalent in any maintenance related field (electrical or mechanical)
2. At least 4 years’ experience in maintenance and repairs, out of which 2 years in a supervisory position within a leading hospitality company
3. Computer literate including knowledge of MS Office & maintenance and repairs tools and material
4. Excellent communication skills and follow up
5. Ability to work under stress in a teamwork environment
6. Well experienced in leading and motivating people

Physical Requirements of the job

The job of the Maintenance Supervisor may require attending the operations (after duty hours) in case of emergencies and should always be reachable by phone. It also necessitates some physical handling of products, including lifting and transportation.

Roles & Responsibilities

1) Work together with engineering team to prepare to design drawings and shop drawings, termination diagram, raceway, cable routing, ensuring in compliance with all project specifications and design standards.

2) Work together with BIM designer for modelling of cable tray, conduit, busduct, etc.

3) Preparing technical document submissions.

4) Collaborate and communicate effectively with engineering team and main contractor regarding technical and coordination issues. Handle and resolve issues.

5) Attend meetings with main contractor to address issues and provide updates on project progress.

6) Coordinate on the design schedule and coordination of the project design works to ensure design is on schedule.

7) Attend site survey and providing technical supports to site and liaise with other engineer during installation phase.

Job Requirements

1) Degree/ Diploma in Instrumentation and controlEngineering or equivalent.

2) 5 years of working experience in design, construction and project management in Instrumentation and controlengineering.

3) Knowledge in engineering and project coordination.

4) Good interpersonal skills, writing skill and presentation skill and able to work independently.

5) Bilingual (English and Mandarin) is required.

6) Work 5 days per week at site or office.

Job Descriptions:

* Development & Implementation of Instrumentation & Control, Robotic, Building Automation, Industrial Automation, Process Control Application.

* Electrical Control Design

* Implementation of Process Automation, Instrumentation and Control, Testing and Commissioning, Technical Support, Customer Service, PLC Programming, SCADA / HMI programming, Computer and Server, Industrial Networking

* Responsible for design & development, implementation, onsite testing & commissioning, support, documentation and training

* Ad-hoc engineering support to customer when required.

* Willing to work on fast pace environment.

Job Requirements:

* Relevant graduate degree for Engineering (Electrical, Mechanical, Computing, or Mechatronic)

* Min 1-2 yrs experience in good engineering practice, process automation, robotic, service and maintenance. Fresh graduates are welcome.

* Hands on experience in instrumentation implementation

* Knowledge of Building Automation & Process Control

* Experience in BMS / PLC / HMI process control / automation system, onsite commissioning

* Good technical skills in Allen-Bradley / Siemens PLC programming, SCADA

* Strong problem-solving and analytical skills

* Hardware configuration and software coding

* IT knowledge for Server/Client and Infrastructure

* Electrical control, instrumentations and control knowledge

* Customer orientated

* Analytical thinking

* Good communication skills for both written and spoken

* Ability to work well with others in a team environment, providing input and feedback in a helpful manner.

* Able to interact well with vendors.

* Strong team player with excellent interpersonal and communication skills, ability to work independently, Pro-active and able to work in a fast paced environment and handle multiple tasks when required.

Interested applicant please send resume with expected remuneration to [email protected]

We regret that only shortlisted candidates will be notified.

What is Splore?

Founded and funded by Temasek and Menyala, Splore is a Human Centric AI Platform that elevates and enhances the customer and employee experience, with a focus on revenue acceleration and cost efficiency.

Splore’s proprietary OS is powered by a trust-and-accuracy-focused, continually learning, multi-agent Answer Engine that can respond to complex queries and execute tasks with support for human-in-the-loop.

Splore empowers businesses to unlock the vast potential of not only their information assets but also leverage Splore's proprietary knowledge index and language models, thereby enabling them to make quicker, more informed decisions. Users get fast, relevant, and trusted answers, thereby eliminating the all-too-common frustration of sifting through irrelevant information or waiting for answers.

Crafted by experts in machine learning, distributed systems, and enterprise applications, Splore blends data from the web with proprietary information and enterprise data to provide tailored results.

Our mission is to help elevate human experiences through empathic access to services and information.

What is the role?

We are seeking for a Senior Machine Learning Engineer to join our ML/AI team. In this role, you will oversee the entire ML lifecycle, from translating use cases to developing, deploying, and monitoring machine learning models in production environments. Additionally, you will be responsible for the development, mentorship, and career growth of your team members.

Responsibilities

In this role, you will:

• Business Use Case Translation: Understand business needs and collaborate with the product and sales teams to define ML requirements and execution plans.
• AI Research: Stay updated on the latest AI advancements, especially in generative AI; evaluate potential technologies and apply them to our domain for continuous ML feature upgrades.
• Proof of Concept (POC): Design and customize solutions for customer POCs, and evaluate these solutions using appropriate metrics to demonstrate their value.
• ML Pipeline: Apply suitable SDLC practices to develop and deploy scalable tools and services for managing ML data pipelines, model training, and inferencing.
• ML Tracking and Evaluation: Develop effective tracking mechanisms with relevant data and metrics to continuously monitor ML service performance, and conduct model retraining using appropriate evaluation criteria.
• Technical Leadership: Provide technical guidance to junior ML engineers, ensuring high-quality technical delivery and continuous product improvement.

Attributes

We are looking for a Senior Machine Learning Engineer with the following:

• Dealing with Ambiguity - You thrive in navigating dynamic environments, making informed decisions amid evolving scenarios and comfortably embracing uncertainty.
• Collaborates - We're all about teamwork here. You will work closely with the Product Management and Engineering teams to align long-term AI capabilities and solutions with both business and technical requirements. Strong communication skills are essential for liaising with stakeholders across engineering, product, business, and client teams.
• Nimble Learning - We're looking for someone who thrives in a startup environment. You're not afraid to get your hands dirty and learn through experimentation when faced with fresh challenges. You're always on the pulse of the latest ML trends and immersing yourself in new technologies.
• Functional/ Technical Skills - MS/PhD in Computer Science/Information Technology. (minimum 6+ years’ experience in ML engineering or a related field)
• High proficiency in Python and extensive hands-on experience with DL frameworks such as TensorFlow and PyTorch.
• Expertise in MLOps practices, including continuous training, model deployment, and monitoring.
• In-depth knowledge of software testing, benchmarking, and continuous integration
• Over 5 years of experience working with cloud platforms such as Microsoft Azure, AWS, or GCP, including building custom integrations between cloud-based systems using APIs.
• Ability to translate business needs into technical requirements, with a strong understanding of software testing, benchmarking, and continuous integration.
• Experience with multi-language systems and proficiency in languages like Go, Java, and C++ are advantageous.
  

COMPANY DESCRIPTION

NTUC Health Co-operative Limited (NTUC Health) is an NTUC social enterprise that provides a comprehensive and integrated suite of quality and affordable health and eldercare services to meet the growing needs of families and their dependents. Building on more than four decades of experience and expertise, NTUC Health is among the largest senior day care, nursing home and home personal care providers in Singapore. It also offers other services for seniors such as an active ageing hub, senior activity centres, community support for vulnerable seniors, and a sheltered / senior group home. In addition, it runs a chain of dental clinics, and a family medicine clinic

RESPONSIBILITIES

• Conduct general repair and maintenance of premises and equipment
• Prepare and arrange rooms in the Home for different functions
• Assist in assets movement and labelling of assets
• Ensure the key facilities are functional and trigger external maintenance when needed Report to the Reporting Officer of any equipment malfunction or breakdown
• Assist in inventory management
• Man the Fire Command Centre, CCTV monitoring system, fire safety alarm system and attend to security issues, eg. activate SCDF when required
• Participate as member of the Home's Fire Safety Committee and support Operations to attend to any fire haze
• Ensure that safety precautions are taken in the course of work
• Any other duties as assigned

• At least 1 year of related experience
• Good team player
• Able to read and write simple English
• Able to lift heavy items
• Able to do shift work, inclusive of weekends and public holidays
• Experience in SAP system is an added advantage

Job Descriptions :

For the post of Senior Operations Manager, to provide leadership, management and foresight required to ensure productivity at its optimal level, through implementation & maintenance of the most efficient and effective operational controls, administration, and reporting procedures. Experience in Integrated Facilities Management and provide Operations Manager with strategic direction to accomplish all project’s objectives.

Job Responsibilities:

• Oversees the management of all technical personnel, specialists, including direct vendors in all the disciplines within the contractual work scope.
  
• Responsible for planning and implementing preventive maintenance programme for all services and ensure proper contracts administration and management. Involve with M&E services maintenance and oversee soft services FM with AFM/ FM.
  
• Ensure that all operational issues and emergencies are attended promptly and rectified with minimal inconvenience and disruption.
  
• Ensure all works are carried out in accordance with the schedule planned.
  Conduct general inspection to identify services for rectification and oversee team's performance in accordance with contractual work scope and timeline of completion.
  
• Monitor and track all project works and their progress status.
  Monitoring of KPIs to ensure compliance with performance framework.
  
• Ensures effective communication within the team and with internal/external stakeholders to achieve their assigned KPIs.
  
• Monitor Non-compliance letters and liaise with Contracts Dept for response.
  Ensure all personnel in the project obtained clearance, including Vendors / Sub-cons and technicians.
  
• Familiar with Workplace Health and Safety Act and be able to provide advice on Health & Safety matters.
  Conduct regular audits to ensure safety procedures on site are in place and working with safety team.
  

Requirements :

• Minimum Degree in Engineering / Building / Facilities / Estate Management or any relevant disciplines. Candidate with good relevant experience with diploma education can apply too.
• Minimum 8 years in similar position with relevant working experience in handling Government properties or statutory Board, preferred.
• Proven track records of IFM contracts management experience.
• Fire Safety Manager, Project Manager Certification of Greenmark Manager will be an added advantage.
• Possess analytical and organizational skills with the ability to work independently and willing to go extra mile to reach challenging goals within very tight timelines.
• Good communication skills in both verbal and written.
• Proficiency in MS Office and email.
• Ability to work under pressure in a complex environment.
• Good Leadership ability