• MNC (Woodlands)
• Company Transport Provided
• Basic: $1800 to $2500 + AWS + VB (3 to 4 months)
• Excellent Benefits + Career Progression
• Training Provided for candidate without or with lesser experience

Job Responsibilities:

• General maintenance, equipment repair and overhaul plant equipment / instrument.
• Carry out minor fabrication work (piping, support system, vessel, electrical supply, lighting system).
• Maintain good housekeeping and 5S in the work area.
• Assist in plant troubleshooting job.
• Comply to all risk control measures and adhere to safe work procedure according to WSH (Risk Management) requirements while performing assigned work duties.
• Operate processes in accordance to operating procedures, process safety information (where applicable) and safe work practices.
• Participate in relevant safety and health programs, trainings and initiatives.
• Report on safety and health incidents and accidents.
• Any assigned ad-hop task/s.

Requirements:

• Preferably 2 to 3 years’ experience in a process manufacturing environment.
• Basic Education Requirements: Minimum NTC-3 in Welding/Maintenance Fitting or Electrical fitting and Installation or other relevant technical certificate.

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.

NG DIAUM YEE (R2198031)

EA Recruitment Pte Ltd

EA License No: 21C0492

Our client is a global MNC, one of the leading players in the Oil & Gas Manufacturing sector. Due to their current expansion plan, they are looking for a EHS Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Job Responsibilities

• Promote a strong HSE culture to ensure effective implementation of safety procedures.
• Carry out thorough inspections of safety equipment, including fire extinguishers and lifting devices, as well as emergency response systems.
• Review and assess preventive action reports to enhance safety measures.
• Confirm that Activity Risk Assessments (ART) are conducted correctly for all work activities.
• Advise management on compliance with HSE policies and legal requirements for all facilities.
• Provide HSE guidance to line managers and supervisors regarding safety issues.
• Coordinate with regulatory bodies on matters related to health, safety, and environmental compliance.
• Investigate workplace incidents and analyze patterns to recommend corrective actions.

Requirements

• Min Diploma in Relevant Qualification in Workplace, Safety and Health
• Min 3 - 5 years relevant working experience in manufacturing setting

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: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Responsibilities

• Responsible for the quality management of machined products to ensure that product quality
• Ensuring that our internal management systems are well defined and relevant in meeting international standards and customer requirements.
• Lead and monitor the QMS incl. ISO9001 & ISO 14001 quality system certification and promote continuous improvement.
• Lead the quality team to implement quality inspection and control and manage non-conforming products.
• Participate in supplier evaluation and management to ensure the quality of raw materials and purchased parts.

Requirement

• Minimum Bachelor Degree in Mechanical or Industrial Engineering
• At least 3 years of quality management experience in the machining industry
• Proficient in using office software and mintab statistical analysis software, and possessing Six Sigma quality management knowledge and skills, e.g. SPC tools & 8D reports.
• Strong knowledge and experience in leading ISO9001 & ISO 14001 quality system certification.
• Looking for candidate that can START WORK IMMEDIATELY / with short notice.

HOW TO APPLY:

Interested applicants, kindly send your resume to [email protected]

We regret only shortlisted candidates will be notified.

Important Note: Mason & Co is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Mason & Co Pte Ltd

EA License No: 19C9622

EA Personnel: Cheah Wei Xuan (Thea)

EA Personnel Reg No: R23118878

Our client is a well-established MNC, market leader in the 3PL Logistics industry. Due to their current expansion plan, they are looking for Quality Executive, in hopes of developing the current high performing team. They are located in the East - easily assessible.

Responsibilities:

• Conduct daily meetings to address logistics-related manufacturing NCs.
• Validate defects with QC support, providing corrective action recommendations.
• Resolve logistics issues with proper containment and corrective measures.
• Manage complaints, perform root cause analysis, and implement improvements.
• Lead quarterly audits, report findings, and ensure timely closures.
• Prepare quality guidelines and instructions.
• Oversee raw material warehouse quality supporting manufacturing.
• Compile weekly, monthly, and quarterly logistics reports for customer review.

Requirements:

• Min Degree in Supply Chain or related study
• Min 3 years of quality experience in manufacturing setting, well wersed in methodologies such as CAPA, GDPMDS and Six Sigma

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: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R2198636 (Oh Puey Xin)

• Well Established Company
• Basic $3000 - $3500 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Boon Lay
• Working day: Monday to Friday
• Working hours: 8.30am to 6.30pm

Job Responsibilities:

• Lead and supervise a team of QC inspectors to ensure daily inspection activities comply with established standards.
• Provide training, coaching, and mentoring to enhance team members' skills and performance.
• Develop and maintain work schedules for the department to optimize resource allocation and efficiency.
• Collaborate with cross-functional teams to drive continuous improvement, track non-conformities, and assess CAPA effectiveness.
• Review and approve Device History Records (DHR). Ensure quality records and samples are retained in accordance with Good Documentation Practices (GDP).
• Implement changes to quality documentation, such as QC procedures, process workflows, and work instructions, and guide the team through these changes.
• Review and submit validation or verification measurement reports.
• Perform daily process audits to ensure compliance with quality operational requirements.
• Ensure proper product identification and traceability.
• As the calibration administrator, ensure all equipment is properly calibrated and provides accurate measurements with appropriate identification.
• Assist with customer complaint analysis, investigate quality issues, and implement corrective actions.
• Authorize product release (Certificate of Conformance), and review and approve Certificates of Analysis (COA).
• Adhere to safety protocols and implement preventive measures to maintain a safe working environment.
• Monitor and report on key performance indicators (KPIs) for QC team performance, production quality trends, and quality control charts.
• Perform any other tasks as assigned by management.

Job Requirements:

• Possess minimum professional certification / Diploma / Degree in relevant subject area
• Working knowledge on ISO13485:2016 and quality assurance / quality control of medical devices is an added advantage
• Familiar with use of various quality control tools and test equipment

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.

NG JYA YEE (R23119014)

EA Recruitment Pte Ltd

EA License No: 21C0492

Our client is a well-established MNC, market leader in the 3PL Logistics industry. Due to their current expansion plan, they are looking for Quality Executive, in hopes of developing the current high performing team. They are located in the East - easily assessible.

Responsibilities:

• Conduct daily meetings to address logistics-related manufacturing NCs.
• Validate defects with QC support, providing corrective action recommendations.
• Resolve logistics issues with proper containment and corrective measures.
• Manage complaints, perform root cause analysis, and implement improvements.
• Lead quarterly audits, report findings, and ensure timely closures.
• Prepare quality guidelines and instructions.
• Oversee raw material warehouse quality supporting manufacturing.
• Compile weekly, monthly, and quarterly logistics reports for customer review.

Requirements:

• Min Degree in Supply Chain or related study
• Min 3 years of quality experience in manufacturing setting, well wersed in methodologies such as CAPA, GDPMDS and Six Sigma

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: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R2198636 (Oh Puey Xin)

Overview

As a Production Engineer, you are to assist the Production Manager in overseeing the production operation and work out schedules and plans, monitor progress, forecast demand of resources, and manage all the technical activities aiming at assuring smooth project delivery and optimization of production performance from conception to completion. You are to adhere to company's Integrated Management System (IMS) and compliance to applicable Singapore Standards and Regulations in the Industry.

Responsibilities

1. Plan, manage and coordinate projects to ensure that the projects are completed on time, within budget and of highest quality.
2. Work closely with clients, suppliers, consultants, contractors, and relevant authorities in projects managed.
3. Plan, develop, execute, monitor project schedule, resource plan and budget.
4. Monitor compliance to applicable codes, practices, QA / QC policies, performance standards and specifications.
5. Perform overall quality control of the work (budget, schedule, plans, personnel’s performance) and report regularly on project status.
6. Supervise team of Supervisors, foreman and workers in the production operations to ensure quality, productivity, and safety.
7. Set daily/ weekly/ monthly objectives and communicate them to production team.
8. Cooperate and communicate effectively with project stakeholders to provide assistance and technical support.
9. Review engineering deliverables and initiate appropriate corrective actions.

Job Description:

The CPPS group is seeking a highly motivated scientist or senior scientist to lead in the development of AI technologies to deliver impactful and innovative digital technologies for predictive/prescriptive analytics and decision support. He/she will be expected to define growth opportunities and new ways to engage industry to advance AI for manufacturing, and look after a 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:

• Develop AI models to enhance and automate decision making and enable predictive/prescriptive analytics
• Define opportunities to push frontiers of AI research in manufacturing
• Formulate research direction and proposals for competitive funding to advance AI in manufacturing
• Engagement of companies to understand their challenges and translate to research collaborations in AI
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Contribute to research and development in Cyber-Physical Production System technologies
• Develop research proposals to secure competitive funding
• Lead technology development, live production environment testbedding 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:

• PhD in Computer Science, Data Science or Mechanical/Industrial/Electrical Engineering
• 7 years’ experience in developing and deploying machine learning and data analytics (for Senior Scientist)
• Strong leadership skills
• Programming/coding skills in developing AI and data analytics
• Skills in data modelling, machine learning, signal processing
• Good track record of publications
• 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

• Organize workflow by assigning responsibilities and preparing schedules
• Oversee and coach employees
• Plan preventative maintenance to ensure downtime minimized
• Ensure the safe of use equipment and schedule regular maintenance
• Ensure production capacity is adequate to achieve production goals
• Check production output according to specifications
• Enforce strict safety guidelines and company standard
• Submit reports on performance and progress
• Set Daily/weekly/monthly objectives and communicate them to employees
• Record any quality issues and ensure corrective and preventative procedures are implemented and adhered to
• Identify issues in efficiency and suggest improvements
• Train new employees on how to safely use machinery and follow the procedure
• Conduct regular team meetings
• Experienced with door fabrication such as Wooden Door, Aluminium Door, and Metal
• Door is required
• Ability to work well under pressure, multitask, and have excellent attention to detail
• Strong problem-solving and organizational skills required
• At least 10 years of experience in Production supervision in a manufacturing environment
• Demonstrate a commitment to maintaining Quality Procedures & Health and Safety practices
• Experienced in managing teams, excellent interpersonal and communication skills

· Logging all incoming calls and email and record sufficient information to facilitate effective Incident processing.

· Prioritizing tickets by assessing the impact, urgency, and priority of incidents.

· Categorizing the tickets accordingly.

· Providing initial troubleshooting and support for incidents.

· Escalating unresolved incidents from the service desk to the appropriate application team.

· Maintenance team and monitor progress.

· Prepare daily and weekly reports

· Documenting all incoming calls and emails while capturing sufficient details to ensure efficient incident handling.

· Experience with SQL is preferred.

Iron/Steel Production Foreman

Cut, Fabricate, Welding and install

All stainless steel, mild steel, aluminium and metal works

Factory Foreman Requirements:

• Ability to independence to handle all such of work at factory or at site.
• Ability to draw manually favorable, but not essential.
• Ability to work well in a team and on your own.
• Ability to respond well to criticism and maintain a positive

Main Function:

• Form A license holder other license as required by regulatory.
• Liaise with regulatory body regards pharmaceuticl compliance affair.
• Require Singapore Registered Pharmacist Licence.

Job Responsibilities:

· Responsible for all dispensing operation for materials to be used in Production, including to provide timely report to Production Manager,

· Responsible for the management of controlled substances/controlled drugs and inventory, ensuring compliance with regulatory requirements and organizational policies.

· Under Production Manager supervision and direction to manage operational training and development of manpower in production, and ensure relevant SOP update to date.

· To assist the Manager to plan, record and monitor the Production manpower headcount in accordance to employment matrix including proposing replacement and additional manpower

· Together with other team member to assist production manager in operational workforce management and engagement, and well-being.

· Together with production executive to conduct safety relevant training, to promote GMP compliance, and to support GMP audit, Project, etc under manager supervision and direction.

· Together with team member to support GMP inspection by authority or customers

· A crucial role covering for the Regulatory Pharmacist during his/her absent.

· Other duties/projects assigned by the Production Manager.

REQUIREMENTS:

· Candidate must possess at least Bachelor's Degree of Science (Pharmacy).

· At least 3 Year(s) of working experience in the related field is required for this position.

Job Description

• Industry/ Organization Type: Production (Manufacturing)
• Position Title: Production Engineer / Executive
• Working Location: West Region
• Working Hours: Monday – Friday, 7.30 am – 5 pm
• Salary Package: Up to $4,000 + AWS + VB
• Duration: Permanent

Key Responsibilities

• Organize, monitor, and ensure manufacturing processes run efficiently with minimal costs using manpower, equipment, facilities, materials, and capital wisely.
• Start, implement, and manage process improvement programs based on best practices in the metal drum industry, focusing on productivity and product quality.
• Ensure all manufacturing processes comply with all regulatory and statutory requirements.
• Collaborate with the HR department to address employee grievances promptly.
• Conduct employee performance reviews to gauge the competency, knowledge, and contribution of maintenance technicians and engineering staff.
• Maintain work safety practices and continually enhance safety records by addressing physical safety issues and employee safety attitudes.
• Keep all areas clean and organized.
• Evaluate, train, and maintain individual skills to stay updated with the best engineering management practices.
• Ensure timely submission of overtime records to the HR department for monthly salary calculations.
• Establish and prepare process documentation, such as work instructions, process specifications, and assist with the quality plan.
• Prepare reports, analyse data, and make recommendations to improve plant operations and solve production issues.
• Ensure subordinates are trained, equipped, and motivated to accomplish the maintenance program safely, timely, and cost-effectively.
• Communicate regularly with all production and maintenance teams to ensure good two-way communication about production and maintenance issues.
• Assist in hiring production personnel.
• Maintain and update operating manuals for all manufacturing equipment and processes.
• Perform any other projects or tasks assigned by the HOD/Management.

APPLY NOW!!!

• Diploma or Degree in Manufacturing, Electrical, Mechanical, or Engineering discipline.
• Minimum 5 years of experience in a manufacturing environment.
• Ability to supervise and lead subordinates.
• Willingness to work after hours or on non-working days.
• Ability to work under pressure.
• Computer literate.
• Knowledge of ISO standards is a plus.

Kindly 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 #69178 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 | Angel Lim | EA Reg No.: R1769781

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 scientist or senior scientist to lead in the development of AI technologies to deliver impactful and innovative digital technologies for predictive/prescriptive analytics and decision support. He/she will be expected to define growth opportunities and new ways to engage industry to advance AI for manufacturing, and look after a 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:

• Develop AI models to enhance and automate decision making and enable predictive/prescriptive analytics
• Define opportunities to push frontiers of AI research in manufacturing
• Formulate research direction and proposals for competitive funding to advance AI in manufacturing
• Engagement of companies to understand their challenges and translate to research collaborations in AI
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Contribute to research and development in Cyber-Physical Production System technologies
• Develop research proposals to secure competitive funding
• Lead technology development, live production environment testbedding 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:

• PhD in Computer Science, Data Science or Mechanical/Industrial/Electrical Engineering
• 7 years’ experience in developing and deploying machine learning and data analytics (for Senior Scientist)
• Strong leadership skills
• Programming/coding skills in developing AI and data analytics
• Skills in data modelling, machine learning, signal processing
• Good track record of publications
• 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

CALLING FUTURE MANUFACTURING LEADERS

The Manufacturing Leadership Development Program (MLDP) is our flagship global manufacturing graduate program. Our simple goal is to identify, hire, and develop our future Manufacturing Leaders. If you have the profile of being a Leader in our Company, we are eager to engage with you, accelerate your development, and bring greater value to our patients worldwide.

Over the 3-year rotation program we would significantly invest in your development giving you exposure across our business, preparing you for a role in leadership. You will receive coaching from senior leaders, exposure to real life manufacturing challenges and training from industry leading scientists and engineers. You will be contributing to significant projects and be making key decisions that directly impact how we make pharmaceuticals products and deliver them to our patients globally.

We hire a small number of members each year for this program, and we work hard to ensure that we truly select candidates with the greatest potential to lead. To help assess if you fit the profile here are some questions to ask yourself:

• Are you motivated to be part of the “flagship” future talent program in our Company?
• Are you geographically mobile with the possibility of international rotation?
• Are you willing to travel to different sites over the first three years of employment?
• Are you excited by opportunities?
• Are you a recent graduate with less than 1 year of working experience?

If the answer is "YES" to all these questions, then keep on reading!

The Manufacturing Leadership Development Program has two primary goals:

• Provide candidates who have a Bachelor’s or Master's degree level in Science and Engineering with a broad perspective of the core manufacturing functions of our company’s pharmaceutical, biological, animal health and vaccine products.
• Develop a bench of talent who can prepare for future leadership positions of increasing responsibility within the organization through focused rotational experiences within the key areas of our Manufacturing Division.

The program enables successful candidates to experience (3) rotations over a three-year period with each rotation lasting (1) year. Employees are assigned to rotations based on critical business needs and aligned to develop critical experiences. In addition to their assignments, employees receive mentoring from peers and senior leaders during their assignment. Rotation members should expect to work at different high impact sites during their tenure in the program and should have flexibility to move where assigned to meet business needs. It is expected that a candidate moves between sites during the program, as this allows the employee to gain the broadest perspective of the division and to maximize accelerated learning and exposure.

Within the rotation, some domestic and international business travel may be available. International rotation assignments are not guaranteed.

The program is designed to strengthen the candidates' skills in teamwork, collaboration, and leadership. The program also includes a formal learning curriculum, designed to enhance a wide variety of competencies including but not limited to:

• Business outcomes across the end to end supply chain
• Continuous improvement/Problem solving
• Lean Manufacturing
• Quality/Good Manufacturing Practices
• Managing and Optimizing internal and external partnerships
• Strategic Thinking
• Financial Acumen

The successful candidate is:

• Interested in participating in a broad range of work experiences across the manufacturing division.
• Able to work independently, in teams, and lead teams.
• Able to adapt to new roles, responsibilities, and situations.
• Motivated to cultivate their leadership skills along with their technical, business and commercial skills by applying their knowledge within manufacturing.
• Dedicated to both their own career development as well as bringing their best to our company.

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:

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 Highlights:

We are seeking a motivated Production Operations Supervisor to lead and oversee operations in our newly established biotechnology manufacturing plant. You will play a critical role in building a high-performing production team, establishing operational processes, and driving the success of our manufacturing operations.

Job Responsibilities:

• Team Leadership: Recruit, train and supervise a team of production operators to foster a collaborative work environment and meet plant's production objectives. Implement and oversee training plans to enhance employee skills, promote cross-training, and improve workforce flexibility.
• Daily Operations: Plan and monitor daily production activities to meet KPIs such as on-time delivery, production efficiency, failure rates, lead times, manpower allocation and space utilization. Conduct root cause analyses for production delays and downtimes, implementing corrective actions to enhance processes and prevent recurrence.
• Process Setup: Establish and validating production processes, ensuring alignment with regulatory and operational standards.
• Process Optimization: Identify opportunity for continuous improvement in processes, workflows, and resource utilization. Lead data-driven initiatives to improve efficiency, quality, safety, and overall production outcomes.
• Compliance & Safety: Ensure adherence to regulatory standards, safety protocols, and organizational procedures. Champion and sustain the 6S methodology to ensure a clean, organized, and safe production environment.
• Collaboration: Work closely with cross-functional teams, including Quality, R&D, Engineering to resolve operational challenges and optimize workflows.
• Inventory: Ensure inventory accuracy through regular audits, oversee physical counts, and resolve discrepancies to maintain optimal stock levels

Role Requirement:

• Min. Bachelor’s degree in Industrial Engineering, Biotechnology, or related field.
• Min. 6 years of experience in medical devices, biomedical, life sciences, or similar industries with 3 years of team supervision and training in a fast-paced environment.
• Strong understanding of Environmental Health and Safety (EHS) standards, with proven ability to enforce safety protocols.
• Hands-on experience with lean manufacturing principles, waste reduction, and process optimization.
• Strong communication and coaching abilities to motivate teams and provide constructive feedback.

If you are keen to explore this career opportunity, kindly send a copy of your resume to [email protected] or simply click the button to APPLY NOW! We regret that only shortlisted applicants will be notified.

Chan Ku Ci - R22111446
EA License No: 16C8261

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Production Engineer
• Working Location: Tuas (Transport provided)
• Working Hours: 5.5 days (Mon - Fri. 8.00 am - 5.00 pm; Sat, 8.00 am - 12.00 pm)
• Salary Package: Basic salary up to $5,000 + Variable Bonus
• Duration: Permanent Role

Key Responsibilities

• Coordinate all aspects of assigned tasks to ensure efficient production flow.
• Provide monthly production input and identify areas for improvement.
• Offer technical leadership for new and existing challenges.
• Create and maintain process instructions and documentation.
• Develop, record, and present reports for monthly production meetings.
• Perform assembly tasks and guide technicians/operators as needed.

APPLY NOW!!!

• Diploma or Degree in Engineering or a related professional certification.
• Proficient in Microsoft Office.
• Able to work with minimal supervision.
• Effective team player with good communication and presentation skills.
• 2-5 years of relevant experience in related industry.

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 #69139 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

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Production Operator / Fabricator
• Working Location: Woodlands
• Working Hours: 5.5 days (Mon - Fri, 8.45 am - 6.45 pm, Sat, 8.45 am - 2.15 pm)
• Salary Package: Basic salary up to $2,200 + Allowance + OT + AWS + Variable bonus
• Duration: Permanent Role

Key Responsibilities

• Cut large stone slabs to specific sizes using bridge-cutting machines.
• Operate profiling and polishing machines to shape and finish stone surfaces.
• Cut and polish sink holes according to templates.
• Use portable power tools to grind and polish stone edges.
• Mix and color match resin glue to blend with various stones.
• Apply sealant on natural stones like Granite after fabrication.
• Inspect the finished work to ensure quality.
• Clean equipment and the work area after completing tasks.
• Collaborate with co-workers, team leaders, and the Production Supervisor to meet production and quality standards.

APPLY NOW!!!

• Able to work independently with minimal supervision.
• Experience with CNC machines is an advantage.
• Able to read and follow drawings and diagrams is advantageous
• Able to commit OT when needed
• Physically fit and able to handle heavy products
• Candidates without experience are welcome to apply, training will be provided

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 #69317 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

Job Description

• Industry/ Organization Type: Chemical Distributor
• Position Title: Production Admin Coordinator
• Working Location: West (Nearest MRT: Joo Koon) – Walking distance to the company
• Working Hours: 5 days (Monday to Friday: 8 am-5.30 pm)
• Salary Package: Up to SGD 2200 + AWS + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Maintain production records, including material stock records.
• Coordinate and confirm goods receiving and outgoing documents with the warehouse and QC departments.
• Assist QC by printing and filing Certificates of Analysis (COA) and Globally Harmonized System (GHS) Safety Data Sheets (SDS).
• Coordinate delivery orders from customer service officers, collect delivery orders from drivers, and organize them.
• Collect delivery tickets from drivers and file them accordingly.
• Prepare regular inventory lists of goods using the SAP system.
• Oversee goods receiving and update records in the SAP system.
• Create manufacturing orders and batch reports for specific customers.
• Print product labels and manage all product label templates.

APPLY NOW!!!

• Min. O level
• Min. 1 year of working experience in the related field
• Able to start work on short notice

Kindly 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 #68723 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