Total 3,085 Manufacturing / Production job vacancies

Our client is a Manufacturing. Due to their current expansion plan, they are looking for Finance Manager to join their team, in hopes of developing the current high performing team. They are located in the West.

Key Responsibilities

• Oversee cost accounting, budgeting, internal controls, and management accounting functions
• Manage month-end closing activities and prepare monthly, quarterly, and annual financial reports
• Liaise with bankers, external auditors, tax agents, and regulatory authorities to ensure compliance and timely reporting
• Supervise standard costing, variance analysis (material, labour, and overhead), and implement cost control measures
• Lead the annual budgeting and periodic forecasting process
• Manage and guide the finance team, ensuring accuracy and efficiency in daily operations

Requirements

• Professional accounting qualification such as ACCA, CPA, or equivalent

• At least 5 years of relevant accounting experience
  

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.

Recruitpedia Pte. Ltd.
EA License No. 19C9682
R25157233 (Loh Pooi Keng)

Our client is a multinational company in the Contract Manufacturing industry. Due to their current expansion plan, they are looking for an Manufacturing Engineering Lead to join their Engineer team, in hopes of developing the current high performing team. They are located in the North – easily accessible.

The Manufacturing Engineering Lead's responsibles are:

• Provide technical leadership and support for molding, assembly, or automation processes, including troubleshooting complex production issues.
• Apply scientific molding and structured problem-solving methods to improve process stability, yield, and overall manufacturing performance.
• Lead root cause investigations and implement corrective and preventive actions to reduce defects, scrap, and rework.
• Manage process validations (IQ, OQ, PQ), tooling trials, and Engineering Change Notifications (ECN) to ensure smooth implementation of product or process changes.
• Drive continuous improvement initiatives to enhance OEE, optimize cycle time, and improve cost efficiency through lean and automation practices.
• Collaborate with cross-functional teams, suppliers, and customers on technical clarifications, process improvements, and compliance with quality and regulatory standards (e.g., ISO 13485, FDA QSR).

Requirement

• Minimum 5 years of manufacturing engineering experience in Molding industry
• Diploma / Degree in Engineering field

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: jobs@recruitpedia.sg

EA License No: 19C9682
EA Personnel No: R2198636
EA Personnel Name: Oh Puey Xin

As Smart Manufacturing & Artificial Intelligence (SMAI) Global Operations Improvement (OI) Manager, you would direct the activities of a data science team, responsible for the design, development, programming methods, processes and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for businesses across the company.
Oversee the development of software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources.
Identify and communicate to partners, meaningful, actionable insights from large data and metadata sources. Selects, develops, and evaluates personnel ensuring the efficient operation of the function.

Responsibilities

As the Data Science Team Manager within the SMAI (Smart Manufacturing & AI) department, you will lead a team of data scientists to develop and deploy AI-driven solutions that support global operational excellence. You will play a key role in driving SMAI’s strategic initiatives by using advanced analytics, cloud technologies, and across function collaboration.

• Team Leadership & Development

• Lead, mentor, and grow a team of data scientists focused on delivering scalable AI solutions aligned with SMAI’s global strategy.

• Foster a culture of innovation, accountability, and continuous learning.

• Strategic Execution & Partner Engagement

• Translate SMAI department strategy into actionable data science initiatives that support business goals across manufacturing, supply chain, and operations.

• Collaborate with global partners to identify high-impact opportunities and ensure alignment with organizational priorities.

• Technical Guidance & Solution Delivery

• Guide the team in designing and implementing AI/ML models using tools such as Google Cloud Platform (GCP), BigQuery, and Vertex AI.

• Ensure robust data pipelines and model deployment using SQL, Python, and cloud-native technologies.

• Promote practices in model development, validation, and monitoring.

• Data Governance & Innovation

• Champion data quality, security, and compliance across all projects.

• Know the latest with emerging trends in AI, machine learning, and cloud computing, and drive adoption of relevant innovations.

Requirements

• Educational Background

• Bachelor’s or Master’s degree or equivalent experience in Data Science, Computer Science, Statistics, Engineering, or a related field

• Japanese & English communication skill

• Professional Experience

• 5+ years of experience in data science or analytics, with at least 2 years in a leadership or managerial role.

• Proven track record of delivering AI-related solutions in manufacturing, operations, or supply chain domains.

• Technical Skills

• Strong proficiency in SQL, Python, and data modeling techniques.

• Hands-on experience with Google Cloud Platform (GCP) services such as BigQuery, Vertex AI, and Cloud Functions.

• Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn) and MLOps practices.

• Strategic & Capabilities across Functions

• Ability to translate SMAI department strategy into actionable data science initiatives.

• Strong partner management and communication skills across global teams.

• Experience working in agile environments and managing multiple concurrent projects.

• Leadership & Innovation

• Demonstrated ability to lead and develop high-performing teams.

• Passion for innovation and continuous improvement in AI and smart manufacturing technologies.

Packaging Operator

• Office Location: Loyang, Singapore
• Working Hours: Mon – Fri 7.30am – 5pm
• Monthly Salary: Basic up to $1600
• Employment Type: Full time

Company Overview

The company specializes in delivering high-precision solutions for complex moulding applications, supporting clients from initial concept through to full-scale production. With a strong focus on quality and collaboration, the company helps transform ideas into commercially viable products. As the company continue to grow, the company remain dedicated to advancing our capabilities and driving progress within the industry.

Responsibility

• Perform packing of finished items in accordance with company standards.
• Accurately pick and prepare items for delivery or production use.
• Ensure proper handling of materials to maintain quality and safety.
• Support daily operational tasks as assigned by supervisors.

Requirement

• Good interpersonal and communication skills, with the ability to coordinate effectively.
• Candidate who can start immediately or within short notice will be preferred

Email resume to harrychen@recruitlync.com or WhatsApp +6588583584 (Texting only No calling, thanks!) Good Luck!

We regret to inform you that only shortlisted applicantswill be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

• Physical packing on the production line;
• Ensure packed finish goods comply with quality requirement;
• Keep records updated,
• Perform in-process quality checks;
• Perform routine 6S activities.

• Lead a team of manufacturing operators and line leaders to achieve output, quality, and cycle time targets.
• Follow cleanroom protocols, safety regulations, and quality standards at all times.
• Participate in process improvement, cost reduction, yield enhancement projects & RPA.
• Comply with company policies, EHS requirements, and industry regulations
• Perform other duties as assigned to support manufacturing operations

• Lead a team of manufacturing operators and line leaders to achieve output, quality, and cycle time targets.
• Follow cleanroom protocols, safety regulations, and quality standards at all times.
• Participate in process improvement, cost reduction, yield enhancement projects & RPA.
• Comply with company policies, EHS requirements, and industry regulations
• Perform other duties as assigned to support manufacturing operations

Production Engineer /5 days /Up to $4,000 - $5,000 @Tuas

• Manage, coordinate, delegation and scheduling of all incoming jobs and ensure timely delivery.

• Understand requirements of all manufacturing, servicing and improvement project.

• Manage from start to completion of projec by working with stakeholders to resolve issues.

• Manage workshop loadings, direct labour hours, overtime, rework, scrap, deliveries, downtime etc.

• Organize weekly production meeting to provide status update to all relevant departments.

• Assist formulate shop floor production plans and optimize production hours.

• Identify competency of production staffs and assign suitable work tasks.

• Manage grievances arising and motivate employees to boost their morale.

• Work with departments to develop, implement and conduct training to enhance competency.

• Conduct annual performance appraisal for employees & work with QHSE on quality issues.

• Review on PCR and work with internal depts/customer to clarify specs/ requirements.

• Resolving bottleneck situations and determining root cause, corrections and corrective actions.

• Initiating purchase requisition, prepare monthly reports, and deal with provider on technical issues.

• Diploma/Degree in Manufacturing/Mechanical with 2 years in metal machining/oil&gas preferred.

Interested applicants, send in your updated resume by clicking “Apply Now”.

Lin Weikang
EA Personnel No: R21102570
EA License No: 23C1894

Key Responsibilities: -

• Collaborate with external tax consultants to prepare and review the annual corporate income tax computation and returns
• Collaborate with external tax consultants and internal colleagues from business units to prepare the quarterly GST filing for Singapore entities
• Prepare provisional corporate income tax computations for year-end closing & reporting purposes
• Assist supervisor to complete group annual effective tax rate calculation and prepare the tax disclosures for statutory audit purposes
• Prepare and submit withholding tax returns, collaborate with treasury for payments to tax authorities on timely basis
• Assist supervisor and provide input on transfer pricing topics, and collaborate with tax consultants to complete transfer pricing documentation
• Ensure the timely and accurate filing of all corporate income tax, GST and withholding tax returns
• Regularly reviewing system and making updates and improvement where necessary
• Assist supervisor to collect information, analyse CIT/GST/WHT/TP and other tax related queries raised by tax authorities, and provide opinions and recommended respondence to tax authorities
• Provide guidance/tax advice to operations/business units
• Assist the supervisor to review contracts and propose the optimized tax structure for new or prospective projects, including execution as required
• Other ad-hoc duties as the Company may assign or vest in you from time to time

Requirement:

• Min Degree in Accounting or Finance

HOW TO APPLY:

Interested applicants, please click on “Apply Now” or submit your resume to ref70@trustrecruit.com.sg

Please include the following information:

-          Reason for leaving

-          Expected Salary

We regret only shortlisted candidates will be notified.

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Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Bong Cheong Leong (Alan)

EA Personnel Reg No: R25158271

Manufacturing Technician (Electrical Industry

• Work Location: Yishun, Singapore
• Working Hours: Mon – Fri 8.15am – 6pm
• Monthly Salary: Base up to $2000 + OT + Variable Bonus (VB), Gross up to $3000
• Employment Type: Full time, Permanent Contract

Company Overview

This is a Singapore-based engineering solutions provider operating in the electrical and power systems sector. The company offers a range of services including equipment manufacturing, repair, and integration, supporting industries such as commercial, industrial, and institutional. Its operations emphasize reliability, efficiency, and adherence to industry standards, with capabilities spanning design, installation, and maintenance.

Responsibility

• Perform testing and commissioning of LV electrical equipment, switchgear, and automation systems.

• Conduct maintenance, overhaul, and conversion work on electrical equipment to ensure optimal performance.

• Troubleshoot and resolve technical issues related to LV electrical equipment and switchgear.

• Prepare detailed service and maintenance reports upon completion of tasks.

• Ensure all work complies with quality standards, safety regulations, and promotes excellent customer service.

• Provide support for other technical or service-related duties as assigned by supervisors.

Requirements

• No prior experiences are welcome to apply as training will be provided
• Access to own a motorbike for work-related travel
• Candidate who can start immediately or within short notice will be preferred

Email resume to harrychen@recruitlync.com or WhatsApp +65 88583584 (Texting only No calling, thanks!) Good Luck!

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

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

JOB RESPONSBILITIES:

• Oversee technical support.
• Conduct equipment/process qualifications as needed.
• Perform daily checks on machine performance and product/WIP quality.
• Troubleshoot machine issues and implement remedies.
• Report and document major product failures.
• Ensure timely preventive maintenance.
• Monitor calibration and servicing schedules.
• Coordinate with production team on schedules, improvements, audits, and stock takes.
• Any other ad-hoc tasks assigned by superior.

JOB REQUIREMENTS:

• Diploma in Mechanical Engineering or related discipline.
• At least 1 year of working experience in the related field is preferred.
• Possess technical troubleshooting skill.
• Available for monthly rotating shifts (alternating between day and night shifts; 8:00 AM–5:30 PM or 8:00 PM–5:30 AM)
• Work in cleanroom environment (Required to wear cleanroom uniform).

[Job ID: 1422130]

Responsibilities:

• Support the sales team by handling customer inquiries, sales documents, and order processing.
• Manage sales orders, invoices, delivery orders, purchase orders, and regional sales/service agreements.
• Coordinate logistics operations, including shipment tracking, documentation, L/C handling, and T/T payment follow-ups.
• Liaise with HQ, customers, dealers, forwarders, and internal departments to ensure timely delivery and accurate documentation.
• Prepare monthly sales, order, and accounting reports; maintain customer and shipping databases.
• Prepare Certificate of Origin via company letterhead or Chamber of Commerce.
• Compare and negotiate freight rates and handling charges with forwarders.
• Support cross-functional projects and contribute to business reviews and operational improvements.

Requirements:

• Minimum 3 years of experience in logistics or supply chain, preferably within a manufacturing environment.
• Experience with SAP is required, preferably HANA.
• Proficient in Microsoft Office; minimum basic Excel skills required.
• Knowledge of ISO standards and SOPs is an advantage.
• Proven stakeholder management capability with the ability to build and sustain professional relationships.

To Apply, please kindly email your updated resume to cv_estheryip@goodjobcreations.com.sg

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities.

Please kindly refer to the Privacy Policy of Good Job Creations for your reference: https://goodjobcreations.com.sg/en/privacy-policy/

EA Personnel Name: Yip Yan Wen, Esther

EA Personnel Reg. no.: R25152371

EA License no.: 07C5771

Job Description

• Create and release new job orders based on new requirements or pull in orders
• Ensure that supply and demand are properly supported well with customer forecast and material in ERP Planning System
• Update Master Manufacturing Method/Detail per official request
• Review slow moving parts and expedite in shopfloor, based on daily shipment and WIP job progress
• Coordinate between Sales, Production, Engineering and Purchasing department in timely manner to ensure proper flow to prevent late delivery
• Prepare the Monthly Aging WIP and KPI Reports
• Prepare the Weekly Assembly Part Report
• Document control

Job Requirement

• Candidate must possess at least a Diploma preferably in Engineering/Manufacturing/Technical related disciplines
• Proficiency in basic computer skills such as Windows XP and Microsoft Office
• Experience working in Production Control/Planning Department will be an advantage.
• Basic understanding of MRP system
• Excellent level of organizational skills and ability to work on several projects at the same time

Job Description & requirement:

• Loading / Unloading machines.
• Folding, packing & tagging of Laundry/Linen.
• Setting up, monitoring, and maintaining machines and equipment used in the production lines.
• Labelling & packing of goods.
• Supporting production in daily outputs.
• Perform inventory and housekeeping
• Performing any other duties as assigned by the Company.
• Pulls & packs products based on the daily orders.
• Meets specifics of customer orders in a timely manner.
• Monitors product quality frequently, reporting problems to mitigate safety issues.

• Singaporean, SPR are welcome to apply.

Job Description:
· Plan and co-ordinate weekly/monthly production and manpower schedules.
· Set and implement SOPs in line with cGMP to facilitate supervision for quality and process control.
· Implement and write reports for rework, scrap/loss disposal, process deviation, process validation, new process and change in process.
· Set and implement process flow structure and chart for compilation of process capacity and ability records.
· Prepare and implement work improvement program.
. Any other tasks assigned by Superior.

Job Requirement:
· Minimum Diploma in any field.
· 1 year working experience in manufacturing environment.
· Good communication, analytical and leadership skill.
· Proficient in Microsoft Word and Excel.
· Work in cleanroom environment (Required to wear cleanroom uniform).