Total 1,340 field engineer job vacancies in Maintenance / Repair category in Singapore

Job Description

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

Key Responsibilities

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

APPLY NOW!!!

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

Please apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #67933 on the email subject.

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

Anradus Pte Ltd | EA License No. 20C0161 | Adelin Chong | EA Reg No.: R1875641

About Our Client:

• Offering comprehensive retail financing solutions, specializing in financing and leasing services for a wide range of equipment including gas turbines, machinery, compact equipment, engines, and lift trucks.
• West region of Singapore

What You Will Do:

• Perform preventive and corrective maintenance, including repairs, on Automated Storage & Retrieval Systems (ASRS), Order Fulfillment Systems (OFS), and sortation systems.
• Conduct routine electrical and mechanical maintenance for Autostore robots, putaway/pick ports, and conveyor systems; document all maintenance activities.
• Address electrical, mechanical, and software issues as they arise, providing ad-hoc maintenance.
• Plan and execute major system repairs or overhauls, either personally or by coordinating with contractors.
• Communicate effectively with suppliers, operations team members, supervisors, and IT teams.
• Resolve equipment faults promptly and ensure the quality of repair work.
• Report faults to the manager in a timely manner.
• Identify and report health and safety risks, accidents, incidents, injuries, and property damage in the workplace.
• Utilize personal protective equipment appropriately and comply with workplace safety policies and procedures.
• Complete and submit all required paperwork accurately and on time; submit necessary records to vendor systems for warranty purposes.
• Train off-shift personnel on minor equipment issue resolution and establish communication protocols with off-shifts.
• Actively contribute to a safety culture within the organization.
• Inspect completed work to ensure repairs meet specifications and safety standards.

Qualifications:

• Background in Electrical, Mechanical, or Electro-mechanical Engineering.
• Experience with control engineering, industrial automation (conveyors), and maintenance of plant machinery and material handling equipment.
• Proficiency in Programmable Logic Controllers (PLCs), including Siemens S7 300/400/1200/1500 and Omron CX-Programmer.
• Familiarity with SIMATIC MicroBox PC, Siemens touch panels, and control components.
• Experience with SCADA (Supervisory Control and Data Acquisition) and HMI (Human-Machine Interface) systems, particularly Simatic WinCC.
• Knowledge of protocols such as ProfibusDP, Profinet, Ethernet, and AS-i Bus, along with testing equipment.
• Experience with variable Frequency Drives (VFD) and inverters, including SEW EuroDrive, SEW Moviaxis, SIEMENS Inverter, and KEB Inverter F4/F5.
• Familiarity with SAP and warehousing management systems.
• Strong verbal, written, and interpersonal communication skills.

How To Apply:
Please click “Apply” if you are interested & fit to the role.

We regret to inform you that only shortlisted applicants would be notified.

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

Under the revised Employment Agencies Licence Condition 5(b), employment agencies (EAs) are required to collect the personal data (e.g. NRIC, FIN) of applicants referred to employers for permanent or contract job positions of at least 6 months with a fixed monthly salary of $3,300 and above. PDPA requirements on collection, use and disclosure of personal data are not applicable to EAs that are collecting such information, as it is a regulatory requirement.

https://www.mom.gov.sg/faq/submit-quarterly-referral-and-placement/are-employment-agencies-allowed-to-collect-personal-data

Dynamic Human Capital Pte Ltd | EA License No.: 12C6253
Toh Qiu Wei | EA Personnel No.: R23116260

We are looking for highly motivated experienced Machine Learning Engineer. We have designed a specific learning program to accelerate the young and talented graduates to enter and start their careers with the aspiration to empowering breakthrough innovation in Financial Services!

WHO IS KLAARA
KLAARA provides AI-driven solutions tailored to the needs of customers in the capital market, insurance, reinsurance, and various other organizations. Our cutting-edge platform empowers businesses to transform their unstructured data into actionable intelligence, fuelling better decision-making and driving competitive advantage.
Headquartered in Singapore, KLAARA was launched in 2023 as a result of 3 years of Research and Development and a spin-off of Upskills, a consultancy company in Capital markets.
KLAARA is composed of creative thinkers and problem solvers, with the ultimate mission to breakthrough innovation! All of us are fully engaged in delivering cutting-edge solutions with the latest state of the art in AI.
Our DNA is reflected in our values, these are how we act every day to make the greatest impact on what we are doing!

• We ask “Why not”.
• We constantly learn and grow.
• We care for one another.
• We cherish honest and respectful conversations.
• Positive energy and proactivity are the foundations of our team.
• Excellence and pushing technologies characterise our ambition: Sky is the limit!
• We are serious about fun.
  If you see yourself enjoying working as a member of KLAARA team, then check out below!

WHY JOIN US?

• To work with a team of dynamic ML engineers and R&D team in a fast-growing start-up
• Contribute to KLAARA’s product development roadmap
• Identify and train suitable machine learning models to be used in conjunction with trading algorithms for complex problems
• Oversee the full ML model training lifecycle from data preprocessing to model serving
• Design and implement ML pipelines to allow for proper tracking of data trained models
• Deliver POC.
• Progress within the state-of-the-art AI environment
• Fine-tune the current model and implement it.
• Understand, analyse and define new models to create new use cases.
• ​Lead a team of engineers.

Requirements

• Master or Bachelor's Degree in Computer science, AI, Data Science is preferred.
• Experience in ML model training/fine-tuning from Data preprocessing all the way to model serving
• Experience in optimizing performance of ML models
• Experience with ML pipe lining toolsFull proficiency in Python, R
• Understanding of basic Git commands
• Proficiency in Linux-based operating systems
• Strong knowledge in Machine Learning and Deep Learning (CNN, RNN, Random Forest, SVM, etc)
• Experience with Document AI understanding, and extraction is a big plus
• Experience with Pytorch or Tensorflow
• Knowledge of DevOps CI/CD tools such as Jenkins
• Knowledge of container tools such as Docker and Kubernetes
• Github repository with projects is a big plus (we want to see what you have been able to create)
• Ability to solve technical challenges and solutions
• Good command of spoken & written English
• A fast learner and able to work independently

About Our Client:

• Offering comprehensive retail financing solutions, specializing in financing and leasing services for a wide range of equipment including gas turbines, machinery, compact equipment, engines, and lift trucks.
• West region of Singapore

What You Will Do:

• Perform preventive and corrective maintenance, including repairs, on Automated Storage & Retrieval Systems (ASRS), Order Fulfillment Systems (OFS), and sortation systems.
• Conduct routine electrical and mechanical maintenance for Autostore robots, putaway/pick ports, and conveyor systems; document all maintenance activities.
• Address electrical, mechanical, and software issues as they arise, providing ad-hoc maintenance.
• Plan and execute major system repairs or overhauls, either personally or by coordinating with contractors.
• Communicate effectively with suppliers, operations team members, supervisors, and IT teams.
• Resolve equipment faults promptly and ensure the quality of repair work.
• Report faults to the manager in a timely manner.
• Identify and report health and safety risks, accidents, incidents, injuries, and property damage in the workplace.
• Utilize personal protective equipment appropriately and comply with workplace safety policies and procedures.
• Complete and submit all required paperwork accurately and on time; submit necessary records to vendor systems for warranty purposes.
• Train off-shift personnel on minor equipment issue resolution and establish communication protocols with off-shifts.
• Actively contribute to a safety culture within the organization.
• Inspect completed work to ensure repairs meet specifications and safety standards.

Qualifications:

• Background in Electrical, Mechanical, or Electro-mechanical Engineering.
• Experience with control engineering, industrial automation (conveyors), and maintenance of plant machinery and material handling equipment.
• Proficiency in Programmable Logic Controllers (PLCs), including Siemens S7 300/400/1200/1500 and Omron CX-Programmer.
• Familiarity with SIMATIC MicroBox PC, Siemens touch panels, and control components.
• Experience with SCADA (Supervisory Control and Data Acquisition) and HMI (Human-Machine Interface) systems, particularly Simatic WinCC.
• Knowledge of protocols such as ProfibusDP, Profinet, Ethernet, and AS-i Bus, along with testing equipment.
• Experience with variable Frequency Drives (VFD) and inverters, including SEW EuroDrive, SEW Moviaxis, SIEMENS Inverter, and KEB Inverter F4/F5.
• Familiarity with SAP and warehousing management systems.
• Strong verbal, written, and interpersonal communication skills.

How To Apply:
Please click “Apply” if you are interested & fit to the role.

We regret to inform you that only shortlisted applicants would be notified.

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

Under the revised Employment Agencies Licence Condition 5(b), employment agencies (EAs) are required to collect the personal data (e.g. NRIC, FIN) of applicants referred to employers for permanent or contract job positions of at least 6 months with a fixed monthly salary of $3,300 and above. PDPA requirements on collection, use and disclosure of personal data are not applicable to EAs that are collecting such information, as it is a regulatory requirement.

https://www.mom.gov.sg/faq/submit-quarterly-referral-and-placement/are-employment-agencies-allowed-to-collect-personal-data

Dynamic Human Capital Pte Ltd | EA License No.: 12C6253
Toh Qiu Wei | EA Personnel No.: R23116260

Scope:

• Focal Point with internal and external stakeholders for all HVAC control and automation, F&G detection system, Fire suppression system and telecom matters.
• Carry out design and engineering for onshore and offshore E-house integration projects in accordance to project specification including cabling and installation details.
• Good understanding of HVAC operation and control, F&G detection and suppression system design requirement
• Basic knowledge on piping specification and requirements.
• Responsible for leading Factory acceptance test with client and subcontractor.
• Support site commissioning activities to ensure the complete project delivery.
• Familiar with FAT, MC ITR and SAT.

Requirements:

• Atleast 5 years’ experience in in Plants/ Offshore/ FPSO E-House project.
• Experience in Marine & Offshore HVAC, F&G detection and suppression Projects.
• Required to have knowledge in HVAC/ F&G testing and commissioning either in Offshore or Plant Projects.

Responsibilities (FPSO FEED and Detail Engineering)

• Responsible for preparing Instrumentation drawings and design work like, system block diagram, termination diagram, deck arrangement layout (F&G detector, field instrumentation, etc), room arrangement layout.
• Perform 3D modelling for instrumentation equipment/material and take part in the 3D model review workshop to resolve clashes and arrangement issues with other disciplines/trades.
• Prepare and issue 2D shop/construction drawings based on the complete 3D model.
• Familiar with cable schedule preparation and cable length estimation based on 2D General Arrangement.
• Works closely with drafting specialist for the preparation and modification of technical design specification, drawings (i.e. IFA, IFC and etc.), and the sequence of operations for Instrumentation design
• Review and consolidate MTO, weight information, and equipment list provided by engineering subcontractor under the guidance of senior team member
• Guides junior team members in the generation of detailed Instrumentation construction drawings (i.e. layouts, interconnection & termination diagram and etc.) by utilising specific drafting software and tool in the engineering network systems
• Performs basic engineering calculations for the generation of instrumentation document / drawings and cost estimates under the guidance of senior team members
• Perform vessel site visit / inspection and coordinates with Instrumentation engineers and other discipline engineers, drafting specialists, subcontractors and consultants, to check and to verify for the preparation of MTO / BOM
• Responsible for Instrumentation design data collection, analysis in order to support project feasibility studies, preparation of tender/ construction documents as well as basic and detailed design drawings
• Assembles Instrumentation design engineered submittal manuals/ booklets including AutoCAD drawings, sequence of operations, bill of materials list, diagrams, etc. and provides copying support for contractors/ customers
• Liase with vendors to obtain updated information, when required and maintains Instrumentation design submittal filing system (i.e. AutoCAD and etc.) in the engineering reference library
• Attend meetings with project stakeholders as required to resolve engineering issues.
• Any other duties as assigned by superior(s) from time to time
• Knowledge and skill on following software will be an added advantage:

1. SP3D modelling
2. AutoCAD
3. Aveva Diagram
4. Naviswork 3D modelling

Responsibilities:

• Develop and deploy machine learning models: Design, build, and optimize machine learning models and algorithms to solve specific business problems. Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.
• Model training and evaluation: Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance and identify areas for improvement, employing techniques such as cross-validation, hyperparameter optimization, and ensemble methods.
• Model deployment and integration: Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
• Performance monitoring and maintenance: Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
• Data analysis and insights: Perform exploratory data analysis, generate insights, and present findings to stakeholders. Use statistical methods and visualization techniques to communicate complex concepts and patterns effectively.
• Stay up-to-date with the latest advancements: Keep abreast of the latest research and trends in machine learning and artificial intelligence. Evaluate and recommend new tools, libraries, and methodologies to enhance the efficiency and effectiveness of the machine learning workflow.

Requirements:

• Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. An equivalent combination of education and experience will also be considered.
• Experience: At least 2 years’ experience working in a similar role. Hands-on experience in designing, developing, and deploying machine learning models in real-world applications.
• Solid understanding of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with working on Large Language Models and Generative AI technology is a plus.

Technical skills:

1. Strong programming skills in languages such as Python.
2. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn etc.
3. Solid understanding of Statistical Analysis, Probability Theory, and Hypothesis Testing.
4. Familiarity with machine learning tools on cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.
5. Problem-solving and analytical mindset: Ability to analyze complex problems, break them down into solvable components, and develop innovative machine learning solutions. Strong mathematical and analytical skills are essential.
6. Communication and collaboration: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Proven ability to work collaboratively in a team environment and effectively manage multiple priorities.
7. Adaptability and continuous learning: Willingness to adapt to evolving technologies and learn new tools and techniques. Demonstrated commitment to staying updated with the latest advancements in machine learning and artificial intelligence.

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

MLOps Engineer sits at the intersection of Machine Learning, Software/Data Engineering, and DevOps. They integrate the best practices from each of these fields to ensure the effective deployment and management of machine learning models in production environments.

· 7-10 years of overall experience in software engineering, data engineering, or MLOps preferably with enterprise-level, complex matrix organizations.

· Experience in setting up MLOps pipelines, systems and processes from scratch.

· Proven experience with AWS (Athena, Glue, ECS, EKS, VPC, etc.) and AWS SageMaker specifically for deploying machine learning models, enhancing automation and implementing necessary checks for continuous improvements.

· Develop and manage CI/CD pipelines (Azure Pipelines preferred) to automate model deployment, testing, and integration processes.

· Orchestration and monitoring of data pipelines and ML workflows, ensuring timely execution and monitoring (Apache Airflow preferred).

· Strong experience with Python and Bash for automating ML workflows, SQL and Pyspark for feature engineering.

· Familiarity with IaC tools such as Terraform or AWS CloudFormation for managing cloud infrastructure.

Maintenance Engineer (Satellite, RF, Network)

Responsibilities

• Involved in maintaining and supporting Satellite, Radio Frequency and Network Communication Systems.
• Responsible for troubleshooting Satellite, RF and Network System.
• Managed integrated systems consisting of electrical, mechanical and electronic subsystems.
• Involved in troubleshooting of Satellite Communication System, Frequency and baseband equipment using common engineering tools and support test equipment.
• Responsible for Technical writing, testing and use of support test equipment.
• Good in writing documentation, manual and instructions.
• Knowledge of Radio Frequency Engineering drawings or Electrical circuits.

Requirements

• Strong knowledge of Satellite, Radio Frequency and Network Communication Maintenance work.
• Good in handling Satellite Communication system and Network Alcatel/Cisco Switches and Routers.
• Good in Maintenance and Support work.
• Involved in Network Communication System support and Satellite, RF Maintenance.
• Diploma in Engineering in Electrical/Electronics and Communication / Information Technology or equivalent.
• Minimum 5 years of Satellite, Network and RF Maintenance and Support experience.
• Standby/recall duties are required on the rotational basis

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

Please contact us or apply in-confidence to us with you updated MS Word Resume to : [email protected]

Yong Jeline (Reg. No. R1101621)

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

Our client is from Oil and Gas industry, a local leading player. They are looking for a Senior Engineer, Instrumentation & Control for the next phase of their business. They are located in West.

Duties:

• Provide technical support for Production and Maintenance teams on instrument-related issues.
• Work with teams to reduce instrument maintenance costs and improve functionality.
• Coordinate with external stakeholders on gas pipeline networks, electrical grids, instruments, and metering interfaces.
• Update maintenance procedures for instruments, PLC, Fire & Gas systems, ESD, metering, CCTV, and security equipment.
• Conduct root cause analysis for instrument incidents and recommend preventive actions.
• Implement MOC projects to enhance instrument reliability and operational efficiency.
• Ensure verification, inspection, testing, and certification of electrical and instrument equipment in hazardous areas.
• Support maintenance and major equipment turnarounds.
• Manage the functional safety lifecycle of SIS in the terminal.
• Assist in expansion projects, ensuring facility integrity and seamless integration.
• Participate in emergency response with designated roles and responsibilities.

Requirements

• Min Bachelor’s Degree in Engineering related field.
• Min 5 years’ experience in Oil & Gas or Petrochemical industry
• Experience in instrument & control maintenance

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: [email protected]

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

Our client is from Oil and Gas industry, a local leading player. They are looking for a Senior Engineer, Instrumentation & Control for the next phase of their business. They are located in West.

Duties:

• Provide technical support for Production and Maintenance teams on instrument-related issues.
• Work with teams to reduce instrument maintenance costs and improve functionality.
• Coordinate with external stakeholders on gas pipeline networks, electrical grids, instruments, and metering interfaces.
• Update maintenance procedures for instruments, PLC, Fire & Gas systems, ESD, metering, CCTV, and security equipment.
• Conduct root cause analysis for instrument incidents and recommend preventive actions.
• Implement MOC projects to enhance instrument reliability and operational efficiency.
• Ensure verification, inspection, testing, and certification of electrical and instrument equipment in hazardous areas.
• Support maintenance and major equipment turnarounds.
• Manage the functional safety lifecycle of SIS in the terminal.
• Assist in expansion projects, ensuring facility integrity and seamless integration.
• Participate in emergency response with designated roles and responsibilities.

Requirements

• Min Bachelor’s Degree in Engineering related field.
• Min 5 years’ experience in Oil & Gas or Petrochemical industry
• Experience in instrument & control maintenance

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: [email protected]

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

Responsibilities:

· Develop and deploy machine learning models: Design, build, and optimize machine learning models and algorithms to solve specific business problems. Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.

· Model training and evaluation: Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance and identify areas for improvement, employing techniques such as cross-validation, hyperparameter optimization, and ensemble methods.

· Model deployment and integration: Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.

· Performance monitoring and maintenance: Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.

· Data analysis and insights: Perform exploratory data analysis, generate insights, and present findings to stakeholders. Use statistical methods and visualization techniques to communicate complex concepts and patterns effectively.

· Stay up-to-date with the latest advancements: Keep abreast of the latest research and trends in machine learning and artificial intelligence. Evaluate and recommend new tools, libraries, and methodologies to enhance the efficiency and effectiveness of the machine learning workflow.

Requirements:

· Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. An equivalent combination of education and experience will also be considered.

· Experience: At least 2 years’ experience working in a similar role. Hands-on experience in designing, developing, and deploying machine learning models in real-world applications.

· Solid understanding of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).

· Experience with working on Large Language Models and Generative AI technology is a plus.

Technical skills:

1) Strong programming skills in languages such as Python.

2) Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn etc.

3) Solid understanding of Statistical Analysis, Probability Theory, and Hypothesis Testing.

4) Familiarity with machine learning tools on cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.

5) Problem-solving and analytical mindset: Ability to analyze complex problems, break them down into solvable components, and develop innovative machine learning solutions. Strong mathematical and analytical skills are essential.

6) Communication and collaboration: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Proven ability to work collaboratively in a team environment and effectively manage multiple priorities.

7) Adaptability and continuous learning: Willingness to adapt to evolving technologies and learn new tools and techniques. Demonstrated commitment to staying updated with the latest advancements in machine learning and artificial intelligence.

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

As the Facility & Security Engineer, you will be responsible for overseeing all aspects of facility operation, maintenance and projects within our electricity generating plants, ensuring compliance with local regulatory policies. In addition, you will be involved in the development of a Facilities Asset Management Plan, identifying improvement opportunities and implementing best practices.

Responsibilities:

• Plan and coordinate infrastructure and equipment maintenance schedules & activities.
• Respond to work order requests and equipment maintenance schedules & activities.
• Investigate, analyze and determine root cause and report breakdowns and faults effectively.
• Carry out and review facilities’ maintenance programs and recommend actions as required.
• Identify and report on plant and equipment inefficiencies and possible improvement initiatives.
• Evaluate operational systems and facility infrastructure to ascertain and improve operational efficiencies.
• Monitor and review plant infrastructure, asset life expectancy and implement long-term maintenance plans.
• Prepare Purchasing Documents for the purchase of spares & the purchase of Work Services required to carry out the rectification works of the faulty equipment, faulty buildings’ infrastructure etc. (E.g. Preparation of tender specifications for service contracts such as cleaning, landscaping, pest control, waste disposals, card access systems, lifts & sewerage treatment plants’ service & maintenance works, auto-gates/ auto-barriers maintenance).
• Prepare the Facility Asset Management Plan (AMP).
• Design and oversee the implementation of facility expansion, layout, systems, and quality controls.
• Engage contractors and establish procedures to supervise and monitor the performance of contractors to ensure that the company’s requirements for work services are met.
• Ensure compliance with relevant regulations, building codes, and health and safety standards.
• Prepare technical reports on breakdowns, proposals and compliance documents.

Requirements:

• Degree in Mechanical, Electrical, Facilities Management Engineering or equivalent.
• At least 3 years of experience as a Facilities Engineer or in a similar role.
• Experience with SAP, and MS Office, especially Excel & PowerPoint.
• Knowledge of the building regulatory requirements in Singapore.
• Strong verbal and written communication skills.
• Strong troubleshooting, problem-solving and project management skills.
• Experienced in managing small to medium scale plant & building facilities incorporating maintenance plans, scheduling, costings, and cost controlling.
• Experienced in carrying out plant & buildings maintenance works, demonstrates personal creativity and/or flexibility in problem solving and budgeting process approaches

THE OPPORTUNITY

• Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista’s list of Best Employers in Singapore for two consecutive years (2020, 2021).
• Join the premier biopharmaceutical company that has been in Singapore for more than 25 years and in AP for over 60 years.
• Our Company is committed to provide patients and customers with a reliable supply of high-quality, safe and effective medicines and vaccines. Our global supply strategy relies on manufacturing capabilities and expertise to achieve this mission. Singapore is one of the key strategic manufacturing sites for our Company and patients. The local site operates multi-product facilities that manufactures active pharmaceutical ingredients, oral solid dosage, inhalation and sterile drug products.
• Looking for a change? The following presents an opportunity to work in the Packaging team.

Our Engineers support internal and external manufacturing operations remain operational, continuously improve and innovate. With our extensive range of facilities and environments, our Engineers have opportunities across many diverse areas including Biological, Chemical, Automation, Capital Projects, Maintenance, Safety, Process Development, Technical Services, Utilities and Validation.

In this role, you will:

• Act as subject matter expert (SME) in IPT Maintenance team with in-depth knowledge in Purified water system, HVAC and Electrical & Instrumentation.
• You will take ownership for the HVAC and purified water system day to day support and continues improvement.
• Experience in manufacturing in a GMP HVAC environment utilizing ISO 14644-1 classifications.
• 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.
• Develop and implement maintenance program, preventive maintenance procedures and spare parts strategy for safe, reliable, and efficient operation of the systems/Equipment’s.
• Shape data-driven decisions that solve business challenges and deliver on desired outcomes and people experience.
• Drive innovation, every plant area is a model area using our Production System.

Key Responsibilities:

Safety & compliance

• Lead or support investigation, participate in trouble shooting and root cause analysis for various operational events, and also ensure that all relevant engineering CAPA are completed within agreed timeline.
• Lead and manage change control on project activities or act as technical advisor for plant modifications, capital projects and other identified plant improvement projects in line with defined specifications, budget and qualification of facilities in accordance with site to approved procedures.
• Proactively review and challenge current activities to reduce safety risk for employees and quality risks for company’s products.
• Assist in overseeing testing, commissioning, qualification (IQ, OQ) activities are executed accordingly and in compliance.
• Maintain HVAC and Purified water systems are in optimum condition in compliance with Good Manufacturing Practice (GMP) & EHS requirements.
• Familiar with current applicable our standard & external standard for clean room/building environment and HVAC. When required, will also be familiar with other standards to provide full end to end support.
• Lead/participate in equipment failure troubleshooting and deviation investigations whenever required.
• Provide input during Basis of Design (BOD) and Detailed Design during large capital projects, applying good maintenance and reliability engineering principles whenever required.

Enhance and uphold maintenance quality.

• Implements technical solutions to improve equipment uptime and asset utilization through use of Continuous Improvement mindset (Lean methodologies)
• Supports Maintenance Lead to meet Profit Plan targets, optimize maintenance and product standard cost effectiveness in accordance with cGMP and Safety guidelines
• Responsible for improving the reliability of equipment and maintenance processes by applying the principles of Reliability Centered Maintenance.
• Lead and develop Business and GMP processes, formalized them into site procedures required for startup and commercial launch.
• Lead and perform Root Cause Analysis (RCA) for surfaced issues and implement a robust solution.

Operations excellence

• Plans, monitors, schedules, and implements measures on the Planned Preventive Maintenance Program and also ensures that the work is done in accordance with schedule and specification.
• Regularly review and revise maintenance program and procedures to increase equipment reliability, reduce waste and improve overall asset care process & cost efficiency.
• Work with Engineering & Safety, Health & Environment (SHE) to execute a 'reliability-centric’ maintenance plan
• Share best practices and lessons learned with the objective of improving asset utilization.
• Undertake activities to support realization of production, maintenance and product cost effectiveness with emphasis on equipment reliability and maintenance expenses.
• Conducts Maintenance effectiveness / optimization reviews along with IPT maintenance leads/Engineers/Technicians

Continuous Improvements (CI)

• Utilize Lean methodologies such as 5S, Standard Work, real-time problem solving (RTPS), to support execution of continuous improvement activities.
• Support the development of continuous improvement framework and work with the Maintenance team to identify opportunities.
• Compile and review data and develops action plans for critical HVAC systems and Purified water systems to improve reliability and reduce M&R cost.

WHAT YOU MUST HAVE

To be successful in this role, you will have:

• Degree in Mechanical / Mechatronics / Electrical or Instrumentation & Control Engineering.
• 5 to 8 years of maintenance work experience in Chemical, Semiconductor, aviation, oil & gas or Petrochemical industry.
• Analytical and Problems solving skill with regard to Purified water system and HVAC Systems
• Knowledge in HVAC and Purified water system operation and Maintenance principle.
• Experience in manufacturing in a GMP HVAC environment utilizing ISO 14644-1 classifications.
• Knowledge of various clean room standards across the Pharmaceutical Manufacturing Industry will be an added advantage.
• Familiar with Life cycle of the HVAC system (from design, operations, controls monitoring, maintenance and obsolescence management).
• Knowledge and experience working within a Computerized Maintenance Management System (CMMS). Familiarity with SAP is a plus.
• Demonstrated use of Reliability analysis tools such as FME, RCFA, etc.

Professional Competencies

• Resilient and resourceful
• Good oral/written communication and interpersonal skills
• Continuous learning mindset
• Foster team collaboration
• Strong work ethics

Who we are

We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.

What we look for

Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today

Our client is from Oil and Gas industry, a local leading player. They are looking for a Senior Engineer, Instrumentation & Control for the next phase of their business. They are located in West.

Duties:

• Provide technical support for Production and Maintenance teams on instrument-related issues.
• Work with teams to reduce instrument maintenance costs and improve functionality.
• Coordinate with external stakeholders on gas pipeline networks, electrical grids, instruments, and metering interfaces.
• Update maintenance procedures for instruments, PLC, Fire & Gas systems, ESD, metering, CCTV, and security equipment.
• Conduct root cause analysis for instrument incidents and recommend preventive actions.
• Implement MOC projects to enhance instrument reliability and operational efficiency.
• Ensure verification, inspection, testing, and certification of electrical and instrument equipment in hazardous areas.
• Support maintenance and major equipment turnarounds.
• Manage the functional safety lifecycle of SIS in the terminal.
• Assist in expansion projects, ensuring facility integrity and seamless integration.
• Participate in emergency response with designated roles and responsibilities.

Requirements

• Min Bachelor’s Degree in Engineering related field.
• Min 5 years’ experience in Oil & Gas or Petrochemical industry
• Experience in instrument & control maintenance

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: [email protected]

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

Assistant Service Engineer / Service Engineer

• Working days: 5 days, 9am to 6pm (might need OT)
• Location: Woodlands & Tampines (customer site) / Changi North (our in-house repair centre)
• Salary range: $3,000 - $4,000

Requirement:

• Aircon/Refrigeration experience is a MUST.
• Flexible and able to Support Overtime
• Able to Travel Oversea within short notice.

Job Scope:

• Involve in Semiconductor Equipment Installation & Repair
• Chiller Repair
• Write Service Report
• Liaise with customer.
• Ad-hoc duty assign

Low Yu Xuan Reg No: R24123804

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Description

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

Key Responsibilities

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

APPLY NOW!!!

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

Please apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #67933 on the email subject.

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

Anradus Pte Ltd | EA License No. 20C0161 | Adelin Chong | EA Reg No.: R1875641

Responsibilities:

• Demonstrate strong knowledge of cabling installation.
• Work independently and resourcefully during site deployments.
• Respond to service calls to resolve faults.
• Ensure timely delivery and completion of service and maintenance support.
• Provide basic IT networking and support assistance as needed.

Requirements:

• Possess a Class 3 driving license.
• Hands-on approach and eagerness to learn.
• Strong interest in ICT solutions.

Please be informed that if you are interested in applying for a position, please email your resume in either Word or PDF format to [email protected]. In your resume, kindly include the following details:

1. Current Salary:
2. Expected Salary:
3. Availability:
4. Reason for leaving your current job:

Thank you for your application. Please note that only shortlisted candidates will be contacted for further consideration.

By submitting your application or resume, you hereby acknowledge and consent to the collection, use, retention, and disclosure of your personal information by us to potential employers through our services.

EA (23S1595/R23116355)

Job Responsibilities

• Monitor and manage system operations via Building Management System (BMS)
• Monitor and response to fire detection and fire protection related alarms.
• Facilitate customer requests on facility services (lights, aircons, pumps, etc.).
• Deploy equipment scheduling in BMS as per customer requests.
• Coordinate fire alarm and fire protection system impairment requests.
• Maintain daily logs of operational issues and maintenance activities.

Job Requirements

• Diploma/Higher NITEC/NITEC from a recognized training institute.
• Preferably with 2 years relevant experience in BMS, PA, Fire Alarm and Fire Protection System.
• Fresh graduates are welcome.
• Able to perform 12 hours rotating shifts.
• Computer literacy.

Maintenance Engineer (Satellite, RF, Network)

Responsibilities

• Involved in maintaining and supporting Satellite, Radio Frequency and Network Communication Systems.
• Responsible for troubleshooting Satellite, RF and Network System.
• Managed integrated systems consisting of electrical, mechanical and electronic subsystems.
• Involved in troubleshooting of Satellite Communication System, Frequency and baseband equipment using common engineering tools and support test equipment.
• Responsible for Technical writing, testing and use of support test equipment.
• Good in writing documentation, manual and instructions.
• Knowledge of Radio Frequency Engineering drawings or Electrical circuits.

Requirements

• Strong knowledge of Satellite, Radio Frequency and Network Communication Maintenance work.
• Good in handling Satellite Communication system and Network Alcatel/Cisco Switches and Routers.
• Good in Maintenance and Support work.
• Involved in Network Communication System support and Satellite, RF Maintenance.
• Diploma in Engineering in Electrical/Electronics and Communication / Information Technology or equivalent.
• Minimum 5 years of Satellite, Network and RF Maintenance and Support experience.
• Standby/recall duties are required on the rotational basis

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

Please contact us or apply in-confidence to us with you updated MS Word Resume to : [email protected]

Yong Jeline (Reg. No. R1101621)

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

Job Responsibilities

• Perform assigned operation/maintenance/work orders in hotels.
• Perform planning and overseeing of corrective and preventive maintenance on building Architecture/Structural and M&E aspects.
• Manage and supervise contractors A&A/Renovation/Enhancement projects.
• To source and implement innovation to improve work productivity and efficiency.
• Possess excellent planning, interpersonal, communication and problem-solving skills are essential.

Job Requirements

• Diploma or Higher Nitec in Electrical/Mechanical/Architecture/Project. Management or Building Certificate from a recognized training institute.
• Minimum 3 years relevant experience in hospitality operation & maintenance, property and/or plant facility management.
• Strong technical background and service quality mindset.
• Basic computer literate and able to read and interpret technical drawings.
• Must be willing to work on rostered rotating shift or normal office hour including weekend & PH.

Requirements:

• Experience maintenance of either CCTV, video surveillance and security systems.
• Experience in Enterprise Server Configuration, System Design and Troubleshooting.
• Min. 1 year of support or maintenance experience CCTV, Video surveillance or security system.
• Diploma or equilvalent. (Candidates without diploma will be considered if he/she has at least 2 years of relevant experience)

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 your updated resume in MS Words format to : [email protected]

*Only shortlisted candidate will be notified.

Lee Kelvin (Reg. No. R1872625)

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

Our client is from Oil and Gas industry, a local leading player. They are looking for a Senior Engineer, Instrumentation & Control for the next phase of their business. They are located in West.

Duties:

• Provide technical support for Production and Maintenance teams on instrument-related issues.
• Work with teams to reduce instrument maintenance costs and improve functionality.
• Coordinate with external stakeholders on gas pipeline networks, electrical grids, instruments, and metering interfaces.
• Update maintenance procedures for instruments, PLC, Fire & Gas systems, ESD, metering, CCTV, and security equipment.
• Conduct root cause analysis for instrument incidents and recommend preventive actions.
• Implement MOC projects to enhance instrument reliability and operational efficiency.
• Ensure verification, inspection, testing, and certification of electrical and instrument equipment in hazardous areas.
• Support maintenance and major equipment turnarounds.
• Manage the functional safety lifecycle of SIS in the terminal.
• Assist in expansion projects, ensuring facility integrity and seamless integration.
• Participate in emergency response with designated roles and responsibilities.

Requirements

• Min Bachelor’s Degree in Engineering related field.
• Min 5 years’ experience in Oil & Gas or Petrochemical industry
• Experience in instrument & control maintenance

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email Address: [email protected]

Recruitpedia Pte. Ltd.

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact for core businesses of the company. Currently we are looking for Software Engineer - Machine Learning Infrastructure to join our team to support and advance that mission.

Responsibilities

- Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.

- Responsible for improving use-ability and flexibility of the machine learning infrastructure.

- Responsible for improving the workflow of model training and serving, data pipelines and resource management for the multi-tenancy machine learning systems

- Responsible for designing and developing key components of ML infrastructure and mentoring interns

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.

- Proficient in C/C++/Python, and have solid programming skills.

- Familiar with deep learning frameworks (TensorFlow/Pytorch).

- Experience in developing and deploying large-scale systems.

- Ability to work independently and complete projects from beginning to end and in a timely manner.

- Good communication and teamwork skills to clearly communicate technical concepts with other teammates.

- Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax).

- 3+ years of industry experience with solid theoretical foundation of machine learning.

Preferred Qualifications:

- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).

- Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.

- Strong background in one of the following fields: Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for Systems.

Bytedance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Bytedance, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact for core businesses of the company. Currently we are looking for Software Engineer - Machine Learning Infrastructure to join our team to support and advance that mission.

Responsibilities

- Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.

- Responsible for improving use-ability and flexibility of the machine learning infrastructure.

- Responsible for improving the workflow of model training and serving, data pipelines and resource management for the multi-tenancy machine learning systems

- Responsible for designing and developing key components of ML infrastructure and mentoring interns

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.

- Proficient in C/C++/Python, and have solid programming skills.

- Familiar with deep learning frameworks (TensorFlow/Pytorch).

- Experience in developing and deploying large-scale systems.

- Ability to work independently and complete projects from beginning to end and in a timely manner.

- Good communication and teamwork skills to clearly communicate technical concepts with other teammates.

- Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax).

Preferred Qualifications:

- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).

- Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.

- Strong background in one of the following fields: Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for Systems.

Bytedance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Bytedance, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.