Total 37 payroll specialist job vacancies in Engineering category

• Perform process setup and buyoff for both Drive Backend Assembly, ensuring that yield, cycle time, and quality outcomes meet defined targets
• Support product ID label buyoff to ensure compliance with product specifications and standards• Monitor production yield to detect any excursions, conduct process mapping, and implement immediate containment (stop bleeding)
• Establish hypotheses, design experiments to identify root causes, propose corrective actions, and report findings to engineers
• Escalate process and technical issues appropriately per PMP requirements
• Conduct basic data queries and analysis to provide relevant information and insights for engineering teams
• Ensure process sustainability by monitoring KPIVs/KPOVs and managing Fast Triggering systems to maintain stable and controlled operations
• Lead or participate in continuous improvement projects aimed at enhancing production efficiency in a consistent and sustainable manner
• Perform additional tasks and responsibilities as assigned to support team, department, and company Objectives and Key Results (OKRs)

Requirements:

• Diploma in Engineering and related disciplines
• Strong data querying and analytical capabilities
• Proficient in English with strong verbal and written communication skills
• Able to perform effectively under pressure and meet deadlines
• Demonstrates strong resilience, adaptability, and positive work attitude

To submit your application, please apply online to apply@rn-care.com or call +65 6514 9838 for a private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd

EA License No: 17C8900

• Perform process setup and buyoff for both Drive Backend Assembly, ensuring that yield, cycle time, and quality outcomes meet defined targets
• Support product ID label buyoff to ensure compliance with product specifications and standards• Monitor production yield to detect any excursions, conduct process mapping, and implement immediate containment (stop bleeding)
• Establish hypotheses, design experiments to identify root causes, propose corrective actions, and report findings to engineers
• Escalate process and technical issues appropriately per PMP requirements
• Conduct basic data queries and analysis to provide relevant information and insights for engineering teams
• Ensure process sustainability by monitoring KPIVs/KPOVs and managing Fast Triggering systems to maintain stable and controlled operations
• Lead or participate in continuous improvement projects aimed at enhancing production efficiency in a consistent and sustainable manner
• Perform additional tasks and responsibilities as assigned to support team, department, and company Objectives and Key Results (OKRs)

Requirements:

• Diploma in Engineering and related disciplines
• Strong data querying and analytical capabilities
• Proficient in English with strong verbal and written communication skills
• Able to perform effectively under pressure and meet deadlines
• Demonstrates strong resilience, adaptability, and positive work attitude

To submit your application, please apply online to apply@rn-care.com or call +65 6514 9838 for a private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd

EA License No: 17C8900

MNC Environment

Conducive Working Environment
Location: East

Responsibilities:

• Drive operational excellence initiatives by identifying process inefficiencies and implementing solutions to improve productivity, quality, and operational performance.
• Conduct capacity planning and resource analysis for manpower, equipment, storage, and material flow to support current and future business requirements.
• Lead industrial engineering and continuous improvement projects to enhance warehouse operations and customer service performance.
• Perform process mapping, workflow analysis, facility layout studies, and cost-performance evaluations to optimize operational efficiency.
• Conduct time and motion studies to establish operational standards, improve resource utilization, and support workforce planning.
• Develop data-driven models, simulations, and operational analyses to support business decisions, solution design, and value-added service offerings.
• Evaluate, recommend, and support the implementation of automation and technology solutions to improve operational efficiency and scalability.
• Assess the effectiveness of material handling systems, storage solutions, and automation projects through post-implementation reviews and performance analysis.
• Collaborate with Operations, Engineering, IT, Customers, and external vendors to ensure successful project execution and delivery.
• Prepare project updates, performance reports, and business cases to support continuous improvement and strategic decision-making.
• Support customer-driven initiatives, operational transformation projects, and new service implementations within the Applied Materials account.

Requirements:

• Bachelor’s Degree in Industrial Engineering or other related discipline
• 2-3 years related experience
• Excellent verbal and written communication, analytical skills & presentation skills
• Knowledge of warehouse management systems (WMS), ERP systems (e.g., SAP), and data analysis software (e.g., Excel, Power BI, AutoCAD).

Job ID: JOB-00445

All successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Kindly email your resume in a detailed Word format to carlo@peopleprofilers.com

We regret that only shortlisted candidates will be notified

People Profilers Pte Ltd

20 Cecil Street, #08-09 PLUS Building Singapore 049705

+65 69509747   

EA License Number: 02C4944

Registration Number: R1100011

EA Personnel: Carlo Antonio Dela Cruz

(Mechanical) Candidates are expected to:-

• Carry out repair, maintenance, and troubleshooting of machinery onboard PSA Marine harbour crafts
• Liaise with Fleet Operations team on breakdown reports and harbour crafts status
• Perform lathe machining, basic gas welding, and cutting works to facilitate repair to machinery
• Assist in lifting activities, forklift operation, confined space assessment
• Perform proper disposal of used oils and chemicals

(Electrical) Candidates are expected to:-

• Carry out repair, maintenance and troubleshooting of machinery onboard PSA Marine harbour crafts
• Liaise with Fleet Operations team on breakdown reports and harbour crafts status
• Troubleshoot and carry out thorough rectification of deficiencies in machinery and control system
• Perform wiring and connection of electrical cables
• Install electrical and electronic accessories and components

The ideal candidate should preferably:-

• Possess at least a Nitec in Marine Technology, Electrical Engineering, or Mechanical Engineering
• Be proficient in Microsoft Office applications
• Possess a valid Class 3 driving license and MOM accredited certifications such as SSIC, Safety Supervisor, Lifting Supervisor, Forklift Driving
• For Mechanical candidates: Prior experience in performing mechanical fitment, basic gas and TIG welding, hydraulic and pneumatic system troubleshooting will be considered favourably
• For Electrical candidates: Good knowledge of electrical and instrument systems and familiar with electrical schematics diagrams and symbols will be considered favourably
• Candidates with relevant experience may be considered for a senior position

*New hires may be eligible for a sign-on bonus of up to S$3,500. Terms and conditions apply.

• Perform process setup and buyoff for both Drive Backend Assembly, ensuring that yield, cycle time, and quality outcomes meet defined targets
• Support product ID label buyoff to ensure compliance with product specifications and standards• Monitor production yield to detect any excursions, conduct process mapping, and implement immediate containment (stop bleeding)
• Establish hypotheses, design experiments to identify root causes, propose corrective actions, and report findings to engineers
• Escalate process and technical issues appropriately per PMP requirements
• Conduct basic data queries and analysis to provide relevant information and insights for engineering teams
• Ensure process sustainability by monitoring KPIVs/KPOVs and managing Fast Triggering systems to maintain stable and controlled operations
• Lead or participate in continuous improvement projects aimed at enhancing production efficiency in a consistent and sustainable manner
• Perform additional tasks and responsibilities as assigned to support team, department, and company Objectives and Key Results (OKRs)

Requirements:

• Diploma in Engineering and related disciplines
• Strong data querying and analytical capabilities
• Proficient in English with strong verbal and written communication skills
• Able to perform effectively under pressure and meet deadlines
• Demonstrates strong resilience, adaptability, and positive work attitude

To submit your application, please apply online to apply@rn-care.com or call +65 6514 9838 for a private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd

EA License No: 17C8900

Job Details:

• Salary Range: $5,500 - $6,000
• Working Hours: Monday - Friday (office hours)
• Central Area : Havelock MRT Station
• Yearly Renewable Contract

Hiring AI Specialist to Develop, implement and optimize AI solutions. Strong programming and machine learning skills required.

Key Responsibilities

• Lead the design, development, and deployment of AI and machine learning solutions
• Manage AI platforms, infrastructure, and model lifecycle (development to production)
• Drive end-to-end AI projects, including problem definition, data analysis, model building, and implementation
• Provide technical leadership and guidance to AI/data teams
• Collaborate with cross-functional stakeholders (business, policy, IT) to translate requirements into AI solutions
• Ensure compliance with AI governance, ethics, and cybersecurity standards
• Support adoption of AI best practices within a regulated/government environment
  

Requirements

• Degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or related field
• Strong knowledge in: Machine Learning & Deep LearningData Analytics & Statistical Modelling AI frameworks and tools (e.g., Python, TensorFlow, PyTorch)
• Understanding of AI governance, ethics, and cybersecurity principles

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform -GO Mobile https://sg.persolgo.com/job/apply/16101

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • EA Registration No. R23117223 (Poh Siew Ling)

About our group:

The team is responsible for Drive Backend Assembly processes, including monitoring, controlling, maintaining, and improving product performance. This role applies engineering principles—such as Six Sigma and Lean—together with strong skills in data analysis, problem‑solving, and solution implementation to achieve performance metrics aligned with company goals.

About the role - you will:

• Perform process setup and buyoff for both Drive Backend Assembly, ensuring that yield, cycle time, and quality outcomes meet defined targets.
• Support product ID label buyoff to ensure compliance with product specifications and standards.
• Monitor production yield to detect any excursions, conduct process mapping, implement immediate containment (stop bleeding), establish hypotheses, design experiments to identify root causes, propose corrective actions, and report findings to engineers. Escalate issues appropriately per PMP requirements.
• Conduct basic data queries and analysis to provide relevant information and insights for engineering teams.
• Ensure process sustainability by monitoring KPIVs/KPOVs and managing Fast Triggering systems to maintain stable and controlled operations.
• Collaborate closely with engineers to achieve aggressive goals while upholding high-quality standards.
• Lead or participate in continuous improvement projects aimed at enhancing production efficiency in a consistent and sustainable manner.
• Perform additional tasks and responsibilities as assigned to support team, department, and company Objectives and Key Results (OKRs).

About you:

• Diploma in Engineering and related disciplines.
• Able to perform effectively under pressure, meet deadlines, and maintain a positive and professional attitude.
• Enjoys taking on challenging assignments and demonstrates strong resilience and adaptability.
• Open‑minded with a consistently positive work attitude.
• Strong data querying and analytical capabilities.
• Proficient in English with strong verbal and written communication skills.

Your experience includes:

• Experience in the manufacturing process is preferable.
• Process setup, buyoff, process mapping, and control.
• Failure analysis experience is preferable.
• Strong verbal and written communication.

About Group:

We are a dynamic process team to provide sputter engineering support to hard disk media production with the objective of ensuring compliance and conformance to process procedures.

About the Role:

• Provide engineering support to production line by ensuring process flow, specification, procedure and documentation
• Monitor any variables within the process and make the adjustments when required
• Quick and effective diagnosis and troubleshooting of routine or minor problems
• Perform process buy-off after equipment preventive maintenance or breaks down
• Document routine manufacturing processes and report data for shift duty pass-down
• Conduct or assist the process engineer in carrying out experiments with the objectives of process improvement
• Continuous improvement on OEE
• Training and certification for MS and new EA personnel
• Assist in Audit preparation

About you:

• Self-motivated and positive working attitude.
• Team player with good problem-solving skill.
• Willing to work in clean room environment.
• Willing to work on 12hr (7.30pm to 7.45am) nightshift pattern

Your Experience Includes:

• Relevant experience in the manufacturing industry will be an added advantage
• Possess of Sputter knowledge will be an added advantage

• Perform process setup and buyoff for both Drive Backend Assembly, ensuring that yield, cycle time, and quality outcomes meet defined targets
• Support product ID label buyoff to ensure compliance with product specifications and standards• Monitor production yield to detect any excursions, conduct process mapping, and implement immediate containment (stop bleeding)
• Establish hypotheses, design experiments to identify root causes, propose corrective actions, and report findings to engineers
• Escalate process and technical issues appropriately per PMP requirements
• Conduct basic data queries and analysis to provide relevant information and insights for engineering teams
• Ensure process sustainability by monitoring KPIVs/KPOVs and managing Fast Triggering systems to maintain stable and controlled operations
• Lead or participate in continuous improvement projects aimed at enhancing production efficiency in a consistent and sustainable manner
• Perform additional tasks and responsibilities as assigned to support team, department, and company Objectives and Key Results (OKRs)

Requirements:

• Diploma in Engineering and related disciplines
• Strong data querying and analytical capabilities
• Proficient in English with strong verbal and written communication skills
• Able to perform effectively under pressure and meet deadlines
• Demonstrates strong resilience, adaptability, and positive work attitude

To submit your application, please apply online to apply@rn-care.com or call +65 6514 9838 for a private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd

EA License No: 17C8900

• Perform process setup and buyoff for both Drive Backend Assembly, ensuring that yield, cycle time, and quality outcomes meet defined targets
• Support product ID label buyoff to ensure compliance with product specifications and standards• Monitor production yield to detect any excursions, conduct process mapping, and implement immediate containment (stop bleeding)
• Establish hypotheses, design experiments to identify root causes, propose corrective actions, and report findings to engineers
• Escalate process and technical issues appropriately per PMP requirements
• Conduct basic data queries and analysis to provide relevant information and insights for engineering teams
• Ensure process sustainability by monitoring KPIVs/KPOVs and managing Fast Triggering systems to maintain stable and controlled operations
• Lead or participate in continuous improvement projects aimed at enhancing production efficiency in a consistent and sustainable manner
• Perform additional tasks and responsibilities as assigned to support team, department, and company Objectives and Key Results (OKRs)

Requirements:

• Diploma in Engineering and related disciplines
• Strong data querying and analytical capabilities
• Proficient in English with strong verbal and written communication skills
• Able to perform effectively under pressure and meet deadlines
• Demonstrates strong resilience, adaptability, and positive work attitude

To submit your application, please apply online to apply@rn-care.com or call +65 6514 9838 for a private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd

EA License No: 17C8900

About our group:

The team is responsible for Drive Backend Assembly processes, including monitoring, controlling, maintaining, and improving product performance. This role applies engineering principles—such as Six Sigma and Lean—together with strong skills in data analysis, problem solving, and solution implementation to achieve performance metrics aligned with company goals.

About the role - you will:

• Sustain critical backend manufacturing processes—monitor daily yield, Test time, scrap, and key process indicators.
• Use programming and scripting capabilities such as Python, C, or C++ and SQL for automated testing, control and scripting, data crunching.
• Perform structured root cause analysis (5 Why, Fishbone, DMAIC) to resolve process excursions and chronic issues.
• Develop and release Test Process Documentation, work instructions, PFMEA, and control plans aligned with Seagate’s quality system.
• Capability to analyze test data, perform failure analysis, and trace defects back to the root cause.
• Partner with equipment and automation teams to drive process equipment optimization, recipe refinement, and failure mode analysis/reduction.
• Collaborate closely with engineers to achieve aggressive goals while upholding high-quality standards.
• Lead or participate in continuous improvement projects aimed at enhancing production efficiency in a consistent and sustainable manner. 
• Perform additional tasks and responsibilities as assigned to support team, department, and company Objectives and Key Results (OKRs)

About you:

• Diploma in Engineering or a related discipline.
• Strong analytical and problem-solving skills. 
• Able to work well under pressure and meet deadlines. 
• Positive, adaptable, and open-minded team player.

Your experience includes:

• Experience in manufacturing process environments is preferred.
• Exposure to process setup, buyoff, process mapping, and process control. 
• Experience in failure analysis is preferred.
• Strong data querying, analytical, and troubleshooting capabilities. 
• Working knowledge of Python, C, C++, or SQL for automation, scripting, or data analysis would be an added advantage.
• Experience supporting documentation such as work instructions, PFMEA, or control plans would be beneficial for success in this position.

• Perform process setup and buyoff for both Drive Backend Assembly, ensuring that yield, cycle time, and quality outcomes meet defined targets
• Support product ID label buyoff to ensure compliance with product specifications and standards• Monitor production yield to detect any excursions, conduct process mapping, and implement immediate containment (stop bleeding)
• Establish hypotheses, design experiments to identify root causes, propose corrective actions, and report findings to engineers
• Escalate process and technical issues appropriately per PMP requirements
• Conduct basic data queries and analysis to provide relevant information and insights for engineering teams
• Ensure process sustainability by monitoring KPIVs/KPOVs and managing Fast Triggering systems to maintain stable and controlled operations
• Lead or participate in continuous improvement projects aimed at enhancing production efficiency in a consistent and sustainable manner
• Perform additional tasks and responsibilities as assigned to support team, department, and company Objectives and Key Results (OKRs)

Requirements:

• Diploma in Engineering and related disciplines
• Strong data querying and analytical capabilities
• Proficient in English with strong verbal and written communication skills
• Able to perform effectively under pressure and meet deadlines
• Demonstrates strong resilience, adaptability, and positive work attitude

To submit your application, please apply online to apply@rn-care.com or call +65 6514 9838 for a private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd

EA License No: 17C8900

• Perform process setup and buyoff for both Drive Backend Assembly, ensuring that yield, cycle time, and quality outcomes meet defined targets
• Support product ID label buyoff to ensure compliance with product specifications and standards• Monitor production yield to detect any excursions, conduct process mapping, and implement immediate containment (stop bleeding)
• Establish hypotheses, design experiments to identify root causes, propose corrective actions, and report findings to engineers
• Escalate process and technical issues appropriately per PMP requirements
• Conduct basic data queries and analysis to provide relevant information and insights for engineering teams
• Ensure process sustainability by monitoring KPIVs/KPOVs and managing Fast Triggering systems to maintain stable and controlled operations
• Lead or participate in continuous improvement projects aimed at enhancing production efficiency in a consistent and sustainable manner
• Perform additional tasks and responsibilities as assigned to support team, department, and company Objectives and Key Results (OKRs)

Requirements:

• Diploma in Engineering and related disciplines
• Strong data querying and analytical capabilities
• Proficient in English with strong verbal and written communication skills
• Able to perform effectively under pressure and meet deadlines
• Demonstrates strong resilience, adaptability, and positive work attitude

To submit your application, please apply online to apply@rn-care.com or call +65 6514 9838 for a private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd

EA License No: 17C8900

Our client is working on a new Mechanical Service project for an Energy project in Central Asia. Currently recruiting for Mechanical Service Specialists to join the project and will like to invite interested candidates to submit your resume to talent@asiasearch.com.sg.

Mechanical Service Technician

Responsibilities:

• Corrective Maintenance: Troubleshooting & root cause analysis, bearing replacement, mechanical seal repair/ replacement, shaft repair (run-out correction, sleeve replacement), impeller repair/ replacement, and rotor balancing correction.
• Overhaul & Major Maintenance: Complete disassembly & inspection, dimensional checks (clearance, tolerances), replacement of critical components, rotor dynamic balancing (low & high speed), reassembly with OEM standards, and performance testing post overhaul.
• Installation & Commissioning: Equipment installation supervision, alignment (laser alignment), pre-commissioning checks, no-load & load testing, performance verification, and documentation & handover.
• Field Services/ On-site Support: Emergency breakdown response, on-site troubleshooting, temporary repair solutions, shutdown/ turnaround support, and manpower supply execution (specialist, engineers, technicians).

Requirements:

• Candidates is required to have relevant experience in servicing of rotating equipment, especially turbo machinery.
• Repair & maintenance of turbo machinery equipment
• Experience in Steam Turbines, Centrifugal/ Reciprocating Compressors, Pumps (Centrifugal, Multistage, API Pumps), Gearboxes & Speed Increasers/ Reducers, Blowers & Fans will be advantage.

• Perform process setup and buyoff for both Drive Backend Assembly, ensuring that yield, cycle time, and quality outcomes meet defined targets
• Support product ID label buyoff to ensure compliance with product specifications and standards• Monitor production yield to detect any excursions, conduct process mapping, and implement immediate containment (stop bleeding)
• Establish hypotheses, design experiments to identify root causes, propose corrective actions, and report findings to engineers
• Escalate process and technical issues appropriately per PMP requirements
• Conduct basic data queries and analysis to provide relevant information and insights for engineering teams
• Ensure process sustainability by monitoring KPIVs/KPOVs and managing Fast Triggering systems to maintain stable and controlled operations
• Lead or participate in continuous improvement projects aimed at enhancing production efficiency in a consistent and sustainable manner
• Perform additional tasks and responsibilities as assigned to support team, department, and company Objectives and Key Results (OKRs)

Requirements:

• Diploma in Engineering and related disciplines
• Strong data querying and analytical capabilities
• Proficient in English with strong verbal and written communication skills
• Able to perform effectively under pressure and meet deadlines
• Demonstrates strong resilience, adaptability, and positive work attitude

To submit your application, please apply online to apply@rn-care.com or call +65 6514 9838 for a private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd

EA License No: 17C8900