Job Descriptions

Join our production team and be part of creating high-quality, natural, plant-based skincare products. You'll be responsible for manufacturing and packaging items such as liquid body washes, shampoos, lotions, perfumes, and more.

• Follow recipes and processes to produce skincare products with precision and care.
• Safely handle and operate production equipment.
• Accurately package finished products for retail and wholesale.
• Maintain cleanliness and hygiene standards in the production area.
• Work collaboratively with the team to meet production schedules.

Job Requirement

• Passion for natural and sustainable skincare products.
• Kitchen experience is preferred, but training will be provided.
• Attention to detail and ability to follow instructions accurately.
• Physical stamina to handle production tasks.

Benefits

• Comprehensive training provided.
• Work with a like-minded, passionate team.
• Opportunity to grow within a sustainable and innovative company.

Working Hours

• 40 hours, 5 day work week

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Responsibilities

Assist Senior Production Engineers in managing a production team that includes:

• Resources are used efficiently.
• Co-ordinating between other teams like Planning, Quality Control and other departments
• Ensure all the works to be carried out in a safe manner with proper methods, tools etc.
• Ensure production and safety SOP are being followed correctly.
• Meet customer’s requirements that include:
• Delivery Schedules
• Documentation
• Quality
• Safety

Requirements

1. Bachelor degree/Post Graduate Diploma in Civil & Structural Engineering from recognised University.

2. Ability to work independently.

3. Ability to adhere to schedule and keep proper records.

4. Strong teamwork spirit, proactive & good communication skills.

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Responsibilities

Assist Senior Production Engineers in managing a production team that includes:

• Resources are used efficiently.
• Co-ordinating between other teams like Planning, Quality Control and other departments
• Ensure all the works to be carried out in a safe manner with proper methods, tools etc.
• Ensure production and safety SOP are being followed correctly.
• Meet customer’s requirements that include:
• Delivery Schedules
• Documentation
• Quality
• Safety

Requirements

1. Bachelor degree/Post Graduate Diploma in Civil & Structural Engineering from recognised University.

2. Ability to work independently.

3. Ability to adhere to schedule and keep proper records.

4. Strong teamwork spirit, proactive & good communication skills.

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Working Hours:

Morning Shift: Mon-Fri: 8am -445pm (Meal & Transport Allowance: S$ 8/day)

Afternoon Shift: Mon-Fri 330pm - 145am (shift allowance: S$ 11/day, Meal & Transport Allowance: S$8/day), Can claim back taxi fare for Return Home.

Responsibilities

· Pack the finished products onto the appropriate corrugated carton boxes.

· Ensure that the product carton boxes and individual packets are stamped with the correct expiry date.

· Responsible in the preparation of appropriate carton boxes.

· Learn and operate packing machine.

· Assist in the daily operation of the packaging machines as assigned and rostered to.

· Assist in the local preventive maintenance of packaging machines.

· Perform area cleaning of the packaging machines, grinders and perform specific hygiene sanitization of work stations.

· Assist in the quality control check of all finished products.

· Assist in the stickering / labelling work on products.

· Perform any other duties and responsibilities as and when required to do so by the management.

Requirements

· Fast learner with positive attitude.

· Able to communicate in simple English.

· Physically fit due to nature of work

· May require to perform overtime when required.

. For Singaporean/PR only

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

Please submit your updated resume in MS Words format by using the APPLY NOW BUTTON

Alternatively, you may send your application and resume in MS Words format to [email protected] or Whatsapp to 8767 9648

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

**We regret to inform that only shortlisted candidates would be notified.

K N Tan
Registration Number: R1768143
EA Licence No: 17C8778 (JIH SUN EMPLOYMENT AGENCY)

R:TEH2BS2V1

• MNC Company
• Basic $4500 - $6000 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Jurong Island (Company Transport Provided)
• Working day: Monday to Friday
• Working hours: 8am to 4.30pm

Job Responsibilities:

• Develop, review, and update all process control documents, procedures and operation condition sheet in consultation with Production Superintendent and Day Supervisors from Operation.
• Identifying, analyzing, trouble shooting and improving process efficiency, equipment performance, product yield, capacity, quality, process material uses and utilities consumption.
• Manage and improve process control system (DCS, SIS) and process data logging system.
• Support trial production and test run of new grade, new process and equipment with Production Technology Engineer.
• Optimize plant operating efficiency, yield optimization and energy conservation with feasibility study, make the necessary field test to verify the result.
• Provide technical support for Silo & Packaging process, including corrective measure for customer complaint in technical viewpoint
• Lead process safety assessment (HAZOP, LOPA, etc.) and support HSE department technically.
• Submit reports’ finding and recommend modification, improvement and potential investment projects such as debottlenecking, environmental and cost reduction activities (i.e. reduction or more efficient usage of utilities).
• Coordinate with technical section for process simulation, evaluation, investigation, performance & yield optimization
• Perform basic engineering design for all potential investment projects, prepare marked up P&ID’s and the required technical information for cost estimation purpose.
• Coordinate with Technical department all plant improvement and modification activities working closely with Technical Process engineer to prepare detailed engineering design, prepare specification and requisitions for major equipment purchase, review of vendors’ document, conduct hazard analysis, performance tests and commissioning activities.
• Coordinate with Technical department for regular update of P&ID’s, instrument list and equipment list.
• Communicate with global EVAL process improvement team to build synergy for further technical updates of KAP EVAL plant.

Requirements:

• Bachelor’s degree in science, technology, or engineering.
• Minimum five (5) years of relevant engineering/production work experience in chemical industry.
• Experience in designing or optimizing the process control system of chemical plants.
• Basic Engineering Skill with utilizing process and instrumentation diagram (P&ID).
• Knowledge of mass and heat balance calculations of chemical plants.

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

THIEN CHING MEI (R2198032)

EA Recruitment Pte Ltd

EA License No: 21C0492

• MNC (Manufacturing) - Cable & Connection Technology

• Working Hours: Monday - Friday: 8.30am - 5.30pm

• Working location at Tuas

• AWS + Variable Bonus + Excellent Welfare & Benefits

Job Scope

• Interpret technical information (documents, drawings, and data) and analyse the manufacturing process elements.
• Create Bill of Materials structure.
• Create manufacturing Work Instructions and other process documents in collaboration with the Program Management, Production and Quality Assurance Teams.
• Carry out time studies and update the process cycle times.
• Provide timely technical support to the Production Team pertaining to manufacturing process and quality issues.
• Engage in DFM and Lean Line Design activities.
• Relentlessly explore, evaluate, and review new tools, equipment, processes, etc.
• Actively and continuously improve the work processes to improve work efficiency and quality.
• Work with Program Management, Production, and Quality Assurance Teams to identify potential process risks and make recommendations to mitigate these risks.
• Any other ad-hoc tasks as assigned by the Manager and/or Engineering Lead.

Requirement

• Diploma in Electrical, Mechanical/Mechatronics, Manufacturing/Production, Industrial Engineering or relevant discipline
• 2 - 3 years of relevant experience in manufacturing process engineering
• Possess experienced in the creation Bill of Materials structures will be an added advantage

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

SIM BEI NA (R22111637)

EA Recruitment Pte Ltd

EA License No: 21C0492

Overall Responsibilities:

• Perform a repetitive and wide range of mechanical assembly operations in support of production projects; perform assembly of complex discrete wire harnesses and multi conductor jacketed cables, coax, twin-ax, and tri-ax cables, power, and flat cable assemblies.

• Assembles, modifies, reworks, and/or reassembles production components, utilizing drawing, pick tickets, process documentation, and/or verbal instruction.

• Prepares and utilizes basic hand tools and machines including but not limited to power screwdriver, ruler, solder iron, clamp machine, heat gun, solder pot, crimpers, pinning machine, and automatic wire strippers.

• Clean parts prior to production use as required.

• Identify wires with the usage of the basic color code sequence.

• Participates in first-time production runs of new products.

• Support cycle count activity, inventory handling, and inventory transactions following established material procedures.

• Participates in continuous improvement and team-building activities; maintains productive working relationships with all team members.

• Possesses and maintains thorough knowledge of machines and techniques in this industry and/or similar industries.

• Meet daily production output & quality requirements.

• Perform other duties as assigned by the immediate supervisor.

Open for Singaporeans and PR.

Our client is in is the automation industry, transforming the cleaning industry with advanced robotic solutions that tackle manpower challenges. Their innovative robots are already making a difference in 30 countries. As they continue to grow, they are seeking a Production Supervisor to join their team.

Key Responsibilities:

Supervision of Production Activities:

• Oversee daily production operations, ensuring that production schedules are met while maintaining high-quality standards.
• Coordinate and monitor the workflow on the production floor, making adjustments as necessary to optimize efficiency.

Team Leadership:

• Lead, mentor, and train production staff, fostering a positive and productive work environment.
• Conduct performance evaluations and provide constructive feedback to team members.

Quality Assurance:

• Implement and enforce quality control procedures to ensure that products meet established specifications.
• Address any quality issues promptly and implement corrective actions as necessary.

Safety and Compliance:

• Ensure compliance with safety regulations and company policies, promoting a culture of safety on the production floor.
• Conduct regular safety audits and training sessions to maintain a safe working environment.

Process Improvement:

• Identify areas for process improvement and efficiency gains, implementing best practices in production operations.
• Collaborate with management to develop and execute strategies for enhancing productivity and reducing waste.

Reporting and Documentation:

• Maintain accurate production records, including output, downtime, and quality metrics.
• Prepare and present regular reports on production performance to management.

Requirements:

• Bachelors degree in Engineering, Manufacturing, Business Administration, or a related field preferred; relevant work experience may be considered in lieu of a degree.
• A minimum of 3-5 years of experience in a production supervisory role, preferably in a manufacturing environment.
• Strong leadership skills with the ability to motivate and manage a diverse team.
• Excellent problem-solving abilities and a proactive approach to challenges.
• Familiarity with production management software and quality control methodologies.
• Strong communication and interpersonal skills.

Interested candidates are invited to send in your Resume in MS Word Format stating your past work experience, reasons for each leave, past and expected remuneration.

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

By submitting an application to us, you will be deemed to have agreed for us to collect, use, and disclose your personal data which you have submitted to your prospective employers, for the purpose of job search, and/or other services which you have consented us to perform on your behalf.

Cultivar Asia Pte Ltd

EA License Number: 19C9782

EA Personnel Number: R1326341 Ng Zhenyu

We’re looking for a full-time to be part of our Family!

1) Production Worker (Aircon environment)

Requirements

• Must be physically fit and healthy
• F&B industry
• Food Processing
• Training, Uniform and Safety Gear provided
• With / Without Experience may apply
• Salary+OT+Incentive+Others Allowances

Interested candidates please email us at [email protected]

Job Responsibilities

• Emphasizing and leading safety in the production plant to achieve 0 LTIF
• Understand and execute production plan and ensuring targets are met daily, reviewing the Routine Interval Control (RIC) checks
• Enhancing the competencies of the workforce through staff planning, OJT and appropriate rewards and recognition
• Ensuring good machine performance and uptime for optimal production
• Focusing on quality products and services through appropriate parameters setting, competent operators, high availability of machines and appropriate material condition.
• Being responsible for continuous improvement

Job Requirements

• Diploma/Degree in industrial engineering or equivalent
• Minimum of 8 years of experience in structural steel fabrication
• Supervisory or management experience
• Strong communication, leadership, and problem-solving skills

• Operate precision CNC turning/milling machine
• Perform CAD/CAM programming
• Interpret Engineering Drawings and Feature of Control Symbols
• Simple setting up of work piece and tooling set up
• Check and maintain machinery daily to ensure functionality
• Able to handle 8" to 12" chuck CNC Turn/Mill Machine, Fanuc control

Requirement

• Proficient in Quality Consciousness with the ability to meet productivity goals
• Must have good interpersonal communication skills and a positive team attitude
• Preferably 3 to 5 years experience in setting up and operating CNC milling / Turning centre

• To supervise the work of sub-contractors and work closely with other operations staff to meet the project schedule
• Report to the Construction Manager
• You will adhere to construction procedures and safe work practices and ensure that works are executed within an acceptable standard of workmanship so as to meet the stringent requirement conducted during site tests and inspections
• Prepared and Assembled ready wooden cabinetry to drawings and specifications for installation.
• Verified dimensions and checked the quality and fit of pieces.
• Measured and marked dimensions of sites.
• Performed Cabinet assembly with the use of hand tools.
• Assisted with all aspects of the assembly team.
• Read detailed schematics for cabinets and executed assembly accurately.
• Helped with delivering and manually installing cabinets.
• Installed cabinets in residential homes.
• Minimum 3 years of relevant experience in the Construction Industry
• Possess a certificate in Building Construction Safety Supervisor (BCSS)
• Supervisory experience in foundation & structural works on site
• Able to work independently with a positive attitude

• Experience in application support role for min 5 years for support and good knowledge of Java, Unix/Linux, SQL
• Recent experience in working with Java J2EE applications
• Experience in Unix commands , SQL queries
• Experience in programming languages such as JAVA/J2EE.
• Knowledge of web applications, batch jobs, JBOSS, MariaDB, SQL, Shell
• Knowledge of Job scheduling, MQ setup
• Dynamic individual with thirst to learn
• Strong team player with excellent inter-personal skills & ability to meet SLAs

Job Description & Requirements

1. Formulate and provide directives for Production Department in meeting organization's goals and committed to Quality Management System.
2. Accountable with the assigned factory sections in terms of production, New Model Development, Customer Service and Support, Supplier and Materials Management, Logistics and Transportation.
3. Analyze section profit/loss of projects and providing cost control and cost effectiveness strategy.
4. Provide production & material planning in ensuring production efficiency and on time delivery.
5. Ensure effective control of machine up/down time and well scheduled and optimized planning in machine / work-center load.
6. Manpower balancing and deplaoyment strategy with manpower skill set.
7. Continuous improvement program to ensure productivity, cost and quality effectiveness, general housekeeping and safety.
8. Formulate, identify and conduct management / training workshop to initiate / facilitate staff in aligning organizations missions and objectives and actions plans.
9. Support other function activities within the company to achieve the overall business goals and objectives.
10. Implement process improvement.
11. Authorize the appropriate use of performance monitoring and statistical techniques.
12. Ensure and coordinate the implementation of risk assessment and risk contol of medical devices.

Requirements:

• Preferred to have Diploma / Degree in Mechanical / Precision Engineering or equivalent.
• Minimum 6 years in a Manufacturing environment (preferably in Precision Engrg / Sheet metal industry) and with at least 4 years of supervisory capacity.
• Exposure with involvement in newly factory, product / process set-up is much preferred.
• In-depth understanding of manufacturing cycle and good budgeting control.
• Strong leadership with good analytical and problem solving skill, as well as dynamic in planning and result oriented.

· Supervises staff to produce manufactured products, and organizes and monitors workflow.

· Accomplishes manufacturing results by communicating job expectations; planning, monitoring, and appraising job results; coaching, counseling, and disciplining employees; and initiating, coordinating, and enforcing systems, policies, and procedures.

· Recruits, selects, onboards, trains, and mentors employees.

· aintains quality service by establishing and enforcing production standards.

· Ensures operation of equipment by calling for repairs and evaluating new equipment and techniques.

MOM LICENSE NO.:16C7994

EA REG. ID: R1983060

Job Description

• Industry/ Organization Type: Manufacturer
• Position Title: Maintenance and Production Operator
• Working Location: West – Boon Lay (Nearby Jurong Shipyard)
• Working Hours: 5.5 days (Mon to Fri: 8AM – 5PM, Sat: 8AM - 12PM)
• Salary Package: Up to SGD2800 + OT + Travel Allowance + AWS + Performance bonus
• Duration: Permanent

Key Responsibilities

• Read and follow job orders
• Determine the required quantity to meet daily output
• Prepare and set up machines for production – clean, checking etc.
• Ensure to carry out machine operation and maintenance in good and safe working conditions
• Control and run the machine to the fullest extent
• Being able to identify any faults or problems in operations or maintenance of machines and troubleshoot arising issues
• Inspect the machine outputs for process and quality control
• Provide detailed reports and logs on the work done daily
• Keep up with safety requirements and maintain a safe work setting at all times
• Proposing improvements to the process or machines as needed
• Reporting safety hazards within the work environment
• Debagging activities and Packing products in 25kg HL and jumbo bags

APPLY NOW!!!

• Min. N Level
• Min. 2 years of working experience in the manufacturing industry or relevant field
• Able to do repetitive tasks; detail-oriented; understanding of industry and safety standards
• Possess basic knowledge of PC, general maintenance, and repair tasks
• Comfortable to work OT
• Able to work in a dusty environment
• On-Job training provided

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #71458 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 | Celine Tan | EA Reg No.: R1873694

• can work on publick holidays
• can work on shifts/change of shifts
• can work and stand for long hours
• at least 10 years experiences
• have relavant certificates/diploma
• hardworking and keen
• 
  
• Provide overall supervision of production activities.
• Plan, organize and lead a team of production workers to achieve production target and output, cycle time, and yield.
• Improvement in maintaining product quality and productivity. Provide a guideline to check on processes thereby assuring that work is done by the operators.
• Monitor the daily efficiency status of the line.
• Ensure good housekeeping and safety at the workplace.
• Oversee hiring and training of food production personnel
• Perform other duties as assigned.

Job Description & Requirements

1. Formulate and provide directives for Production Department in meeting organization's goals and committed to Quality Management System.
2. Accountable with the assigned factory sections in terms of production, New Model Development, Customer Service and Support, Supplier and Materials Management, Logistics and Transportation.
3. Analyze section profit/loss of projects and providing cost control and cost effectiveness strategy.
4. Provide production & material planning in ensuring production efficiency and on time delivery.
5. Ensure effective control of machine up/down time and well scheduled and optimized planning in machine / work-center load.
6. Manpower balancing and deplaoyment strategy with manpower skill set.
7. Continuous improvement program to ensure productivity, cost and quality effectiveness, general housekeeping and safety.
8. Formulate, identify and conduct management / training workshop to initiate / facilitate staff in aligning organizations missions and objectives and actions plans.
9. Support other function activities within the company to achieve the overall business goals and objectives.
10. Implement process improvement.
11. Authorize the appropriate use of performance monitoring and statistical techniques.
12. Ensure and coordinate the implementation of risk assessment and risk contol of medical devices.

Requirements:

• Preferred to have Diploma / Degree in Mechanical / Precision Engineering or equivalent.
• Minimum 6 years in a Manufacturing environment (preferably in Precision Engrg / Sheet metal industry) and with at least 4 years of supervisory capacity.
• Exposure with involvement in newly factory, product / process set-up is much preferred.
• In-depth understanding of manufacturing cycle and good budgeting control.
• Strong leadership with good analytical and problem solving skill, as well as dynamic in planning and result oriented.

Primary

1. To Provide primarily support at production department.
2. Assist superiors in prepare and compile reports.
3. Prepare, generate and release job order / purchase requisition to various departments of the confirmed job orders.
4. Responsible for planning of production output, monitor machine capacity, OEE etc.
5. Work closely among inter-departments to ensure committed schedules are met.
6. Provide regular update to the sales/Projects team on project development in a timely manner.
7. Maintenance and upkeep records of Production/Engineering/Technical documents.
8. Arrange production run according to Supervisor/HOD instruction.
9. Receiving/distribution of raw material for production usage.
10. Parts distribution to other departments for next process.
11. Able to systemize and improve on workflow.
12. Good application and know-know on the ERP / reporting tools.
13. Ability to understand or interpret all technical drawing and part specification.

Education level:

1. Min. NTC/Nitec level ME/Mechatronic or its relevant.

Experience level:

1. Two (2) years in relevant experience in clerical environment or manufacturing or its relevant

2. Perform competent in clerical duties, computer literacy.

3. Result oriented, resourceful and independent.

4. Ability to read, understand mechanical drawing and Geometric Dimensioning and Tolerance.