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

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 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

· 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

Purpose: Responsible for supervising staff, ensuring health and safety regulations at work are followed, making sure adequate training has been provided to the workers in the usage of equipment, and identifying deficiencies to be improved in production.

Key Area of Responsibilities:

• Supervising the man and assembly process, ensuring quality work is done safely and efficiently.
• Organize and motivate the mini-companies to perform daily production activities.
• Draw up training, and job rotation plans to develop manpower to be more flexible and competent and stimulate continuous productivity improvement.
• Liaising with other Engineers to develop plans that improve productivity, in terms of costs and manpower required.
• Support engineering/manufacturing teams, draw up safety protocols, report issues to the manager, and develop strategies to improve efficiency and profit.
• Take part in quality meetings with QA and process, conduct production CAB meetings, and ensure corrective actions are carried out.
• Conduct daily supervisor and production meetings to achieve delivery reliability.
• Record and report on the department’s activities and production results regularly in each productivity review meeting.
• Manage consumables and non-capitalized equipment spending.
• Maintain and ensure 5S housekeeping on the shop floor.

Qualification & Experiences:

• Diploma/bachelor’s in engineering (Mechanical, Mechatronics, Electrical, Precision or Industrial Engineering).
• At least 3 years of experience as an engineer in the manufacturing assembly environment.
• Good communication skills to perform mentoring and coaching to production staff.
• Good knowledge in problem-solving methodology.
• Ensure the safety standards and process safety management is duly followed.

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

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)

Key Performance Indicators

Wholesales

• Achieve the Sales Objective for the Wholesales Team
• Increase in sales revenue and profit margin
• Increase in customer base SG
• Meeting the sales target set
• Maintaining and improving relationship with the customers
• Work with Sales Manager in managing Key Accounts

Operations

• Manage Production, QA/QC & Wellaway team

Job Responsibilities and Duties

Wholesales

• Develop strategies and techniques to achieve sales targets and guide team members on future actions.
• Identify potential customers and generate leads for the organization, aiming to create new opportunities.
• Foster teamwork to ensure the team works cohesively towards a common goal.
• Ensure the team meets desired results.
• Determines annual SG Sales and gross-profit plans (profits).
• Implements SG sales programs by developing field sales action plans.
• Address customer complaints by investigating issues, developing solutions, preparing reports and making recommendations to management
• Maintain necessary data and records for future reference.

Leadership

• Oversee the operations of Production, QA/QC, Wellaway and Wholesales team.
• Monitor and ensure overall team productivity and performance.
• Provides leadership, support and guidance to respective departments.
• Ensures strong communication between team leads by conducting communication sessions and ensuring proper dissemination of information to employees.

Job Requirements

Education and Experience

• Degree in business, marketing or any discipline.
• 10 years and above relevant experience within the sales and marketing.
• Exposure in pharmaceutical sales is essential.
• Good organization and planning skills.
• Good leadership and coaching skills.
• Good teamwork spirit.
• Excellent interpersonal skills.

Personal Competencies

• Think creatively and make decision.
• Possess good communication skills (internal and external).
• Persuasive aptitude.
• Attentive to details.
• Adaptable to changes.
• Good understanding of market trends.
• Patient, determined and perseverance.

Special Requirements

• Good knowledge and understanding of the market situation and changes.
• Sound understanding and knowledge of pharmaceutical and medical industry.

Mon to Fri 8.30am - 5.30pm

Objectives of the position:

The NPI / Production Process Engineer is required to collaborate with the Program Management Team

and be involved in New Product Introduction activities and the creation of manufacturing Work

Instructions as well as other process documents. The incumbent is also expected to improve the work

processes actively and continuously to achieve high productivity and quality.

Key Responsibilities:

 Early involvement in NPI (New Product Introduction) activities.

 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.

Skills & Qualification:

 Minimum Diploma in any Engineering field such as Electrical, Mechanical/Mechatronics,

Manufacturing/Production or industrial Engineering

 Min. 3 years of manufacturing process engineering experience, preferably dealing with wire or cable

harness. Candidates with less experience may be considered for the Asst. Engineer position

 Ability to read and interpret technical documents and drawings

 Basic manufacturing knowledge in cable harness assemblies, plastics and sheet metal preferred

 Experienced in the creation Bill of Materials structures

 Good knowledge on Solid Edge or SolidWorks preferred.

 Proficient with Microsoft Outlook, Excel, Word and PowerPoint

 Lean/Six Sigma certification is desirable

 Strong analytical ability

 Team player with good communication skills

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

Oil & Gas manufacturing industry.

• Working day: 5 days, rotating shift
• Location: Tuas
• Allowance: Night shift, meal, transport
• Salary: $1700-$2500, gross salary can up to $3500
• Benefits: Performance Bonus, annual salary increment, company trip, annual leave etc.

Job Scopes:

• Conduct dimensional and visual inspections of parts and components using GD&T principles to ensure adherence to technical specifications.
• Operate precision measuring instruments, including CMM, micrometers, calipers, height gauges, and other quality control tools.
• Interpret engineering drawings, blueprints, and CAD models accurately to verify product dimensions.
• Assist in developing and implementing quality inspection procedures and best practices.
• Perform incoming, in-process, and final inspections to ensure product quality at every stage of production.

Requirements:

• Can understand drawings and GD&T.
• Able to use measuring instrument
• At least 2 years of QC experience.

Aurora Asia Pacific (21C0671)|Ying Kee (R21103783)

Responsibilities

• Service, upsell and built rapport with existing customer accounts within semiconductor industry
• Create targeted marketing strategies and campaigns for specific products or product lines to solidify market presence and differentiate them from competitors.
• Formulate business plans and strategically position products in the marketplace.
• Conduct market research, keep track of competitors’ activities, and assess customer needs to inform business decisions.
• Develop pricing frameworks, collaborate with engineering, manufacturing, and sales teams to launch new products or improve existing ones.
• Prepare and negotiate pricing quotes, finalize terms, and ensure documentation is ready for order processing.
• Oversee follow-ups on outstanding accounts receivables.
• Present company product roadmaps and capabilities to customers while conveying customer technology requirements to relevant business units.
• Maintain comprehensive records of all customer engagements and develop tailored action plans with timely execution.
• Build relationships with both potential and current customers to identify and address their service needs.
• Work with business unit representatives to set the annual sales budget.

Requirements:

• Bachelor’s degree in Engineering or a related field.
• Minimum of 2 years of relevant experience within the semiconductor industry.
• Willingness to travel overseas and work extended hours on challenging sales projects.
• Excellent communication and interpersonal skills.
• Detail-oriented, organized, and a proactive team player.
• Self-motivated and capable of working independently with minimal oversight.

Please submit your updated resume in Word format by using the Apply Now Button.
We regret that only shortlisted candidates will be notified.

Email resume to [email protected]

People Profilers Pte Ltd, 20 Cecil Street, #08-09, PLUS Building, Singapore 049705.
Tel: 6950 9724

http://www.peopleprofilers.com
EA License Number: 02C4944
Registration Number: R1872398

Posting Personnel: Ng Jwee Ken

Ref: QXW39YVY

Responsibilities:

• Lead HSE across various sites in Singapore
• Collaborate with Management to develop, prepare, and implement safety policies and sets the overall HSE strategy
• Conduct periodic reviews to ensure that HSE plans, with the site HSE leads, remain relevant and on target
• Advise Management during crisis or emergency response including improving & maintaining all aspects of Crisis & Emergency Response Plans and response
• Ensure compliance to all statutory safety, health, and environment and security requirements through updates, reviews and audits.
• Oversee and manage the HSE risk management process through conducting risk assessments and reviews.
• Ensure that the incident management & investigation process is implemented.
• Manage the planned HSE audits and reviews.
• Act as the sole point of contact with HSE-related government agencies and mutual aid companies

Requirements:

• At least 15 years of safety, health and environmental management experience with at least 5 years in a management position.
• Degree or the equivalent certification in Engineering or Safety, Health and Environment
• Preferably with WSH Level C or above certification
• Experience in managing Multiple sites
• Strong Leadership

Account Manager:

Kerwin Tan Kai Bin (R1331624)

[email protected]

EA16S8107

Job Scope:

You will be responsible for the end-end recruitment process, including but not limited to: compliant job postings, job launch, sourcing, phone screens, assessments, candidate tracking and status updates, interview feedback, conveying compensation expectations and offer extension. In addition, you will also coordinate recruiting process activities with key partners, hiring/closing candidates, and understand the full recruitment life cycle.

Essential Responsibilities:

• Responsible for blue collar volume hiring, both internal and external hires for the Singapore Plant
• Responsible for the wing-to-wing recruitment process, including but not limited to, managing job posting and process compliance, job launch, sourcing and screening of candidates, interview arrangement, candidate tracking and weekly status updates to business partners. Facilitate interview feedback sessions, prepare salary proposal, extend verbal offers and issue Employment Agreements
• Build strong relationships with stakeholders and develop expertise in their business and talent needs to create diverse talent pools and pipelines
• Collaborate with People Leaders and HR to ensure a positive candidate’s experience
• Utilize proactive and innovative sourcing strategies utilizing various techniques to reach out to talents
• Effectively use social media tools in alignment with the company's Brand Strategy
• Partner with local government bodies or institutions for career fairs
• Responsible for weekly reporting of TA metrics

Qualifications/ Requirements:

• Bachelor’s Degree/Diploma with 1- 2 years of recruiting and sourcing experience

Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.

EA License No. 01C4394 • RCB No. 200007268E •Derrick Tiew Yong Han EA Registration No. R1877971

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

Exciting opportunity for a hands-on professional preferably in laser technology products to join an established company as a Manufacturing Engineer to help develop, evaluate and improve manufacturing methods and processes for the purpose of sustaining the manufacture of existing Laser products as well as the introduction of new products.

Role

· Provide day-to-day technical support for the production line including cleanroom, sub-assembly, optical build, and laser final test areas:

· Maintain quality, reliability, and cycle time standards of the current laser build process.

· Continuously improve current production methods using knowledge of product design, materials and parts, fabrication processes, tooling, production equipment capabilities, quality control standards, and warranty metrics.

· Take responsibility for electronic travelers, assembly and process methods, and bills of materials.

· Work with quality, reliability, and supply chain teams to improve product performance.

· Implement corrective actions for problems reported by our customer.

· Works on complex problems where analysis of situations or data requires an in-depth evaluation of various factors.

Requirements

· Bachelor’s degree in engineering (BEng) or its equivalents with at least 3 to 5 years of relevant work experience in Photonics or a related manufacturing field

· Possess technical expertise pertaining to Manufacturing, Assembly & Test Processes for mechanical assemblies, PCBA and optical components.

· Strong problem-solving skills and excellent knowledge in Six Sigma DMAIC approach, Lean principles, DOE, SPC, FMEA, GR&R and other quality improvement tools.

· Certified Six Sigma Green or Black Belt will be an advantage

· Excellent interpersonal skills with good verbal and written communication skills.

· Self-directed and able to work independently with little or no direct supervision.

Interested applicants, please submit your profile to [email protected]for review. We will be in touch for initial discussion upon being shortlisted

EA Licence: 17S8795 | EAP: R1108333

Responsibilities:

• Conduct thorough data analysis and implement data-driven solutions to support customer issue troubleshooting, utilizing statistical modelling and machine learning techniques to identify root causes and provide actionable insights for resolution
• Partner with field engineering teams to analyse data from plasma etching systems and provide timely, meaningful and accurate analysis results to support data-driven improvement
• Communicate effectively with both customers and internal teams, present complex data analysis findings or results to stakeholders in a concise, effective and understandable manner
• Develop advance statistical and machine learning algorithms to extract insights from large and complex data sets, and work with internal engineering team to evaluate the effectiveness of the algorithms
• Collaborate with global data engineering teams to share best practices and work on cross-functional projects that require data science expertise
• Manage and maintain the internal analytics solutions, supporting continuous development and implementation, and ensuring that data integrity and accuracy are always maintained
• Develop and conduct training sessions for local engineers on data analytics skills such as JMP and KNIME
• Other duties as assigned

Requirements:

• Bachelor’s or Master’s degree in Microelectronics, Data Science, or a related discipline.
• At least 3 years of experience in the semiconductor industry, including manufacturing equipment, fabrication facilities, semiconductor components, or related fields.
• Demonstrated experience as a Data Scientist within the semiconductor industry, with specific expertise in plasma dry etch processes.
• Expertise in developing and deploying algorithms for process optimization and problem-solving.
• Strong understanding of data analytics, statistical methodologies, machine learning techniques, and predictive modeling.
• Proficient in data science tools and programming languages (e.g., Python, JSL, R) for data processing, visualization, and analysis.
• Strong communication skills, with the ability to collaborate effectively in a team setting and build positive relationships with customers.
• Detail-oriented, organized, and resourceful team player.
• Self-motivated and capable of working independently with minimal supervision.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24994

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

Job Responsibilities:

• SKU Management: Handle and maintain a large volume of Stock Keeping Units (SKUs).
  Ensure accurate labeling, tracking, and inventory updates.
  Prepare SKU reports and maintain data integrity within ERP systems.
  
• Administrative Support: Perform general administrative tasks such as data entry, document preparation, and record keeping.
  Support internal and external communication related to inventory, planning, and purchasing.
  
• Planning: Coordinate production schedules based on client orders and inventory levels.
  Work with production and supply chain teams to plan resource allocation effectively.
  Monitor and adjust schedules to meet demand fluctuations and lead times.
  
• Purchasing: Assist in procurement processes, including sourcing, vendor communication, and purchase order creation.
  Track delivery schedules and ensure timely availability of raw materials and components.
  Evaluate vendor performance and ensure compliance with quality standards.

Requirements:

1. 2+ years in a coordination role, preferably within electronics manufacturing.
2. Familiarity with handling high SKU volumes and multi-departmental coordination.
3. Strong proficiency in inventory management systems, ERP tools (e.g., SAP, Oracle), and Microsoft Office.

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 leading player in Manufacturing industry. Due to business needs, they are now recruiting a Logistics Coordinator to be part of their Logistics Team for ongoing transformation projects. They are located in the East - easily accessible.

Duties of Logistics Coordinator:

• Ensure accurate and timely documentation for all incoming and outgoing shipments.
• Update and maintain material movement records in the system and ensure inventory accuracy.
• Collaborate with warehouse and internal departments to align on requirements and priorities.
• Perform timely transactions in the SAP system and archive all related documents.
• Manage the purchase of indirect materials and generate weekly/monthly stock count sheets.
• Liaise with freight forwarders, arrange local deliveries, and handle RMA documentation.
• Maintain departmental safety and cleanliness standards.
• Contribute to process improvement initiatives and perform additional duties as assigned by the Logistics Manager.

Requirements:

• Relevant logistics 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.

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

For over 50 years, SCIEX has been developing groundbreaking technologies and solutions in mass spectrometry and capillary electrophoresis. Our products enable our customers to quickly respond to environmental hazards, better understand biomarkers relevant to disease, improve patient care in the clinic, bring relevant drugs to market faster and keep food healthier and safer. At SCIEX, you’ll find a rewarding role that amplifies your impact on the world and helps you realize life’s potential.

SCIEX is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health.

Learn about the Danaher Business System which makes everything possible.

Are you looking to use your knowledge and experience to empower our customers to solve the most impactful analytical challenges in quantitation and characterization?

The Manufacturing Test Engineer is responsible for setting up an efficient manufacturing test process by developing procedures (automated testing) to test mass spectrometer instruments and improving First Pass Yield continuously to meet the organization objectives. You will gain new product knowledge of mass spectrometer in theory and practical as well as enhancing your technical competency in engineering fields.

This position is part of the Manufacturing Engineering Department and will be located in Marsiling Industrial Estate, Singapore.

In this role, you will have the opportunity to:

• Develop the commissioning and final tests procedures (automated testing) to meet system requirements.
• Improve and modify manufacturing test software.
• Apply Problem Solving Process to define problem statements, investigate to root causes, verify countermeasures and ensure sustainment.
• Improve the First Pass Yield and parts DPPM failures in Manufacturing.
• Assist instrument installation escalation calls in the field through site visit/remote access if required.
• Expand PCBA troubleshooting skills to detect defective Electrical/Electronics components.
• Perform First Article Evaluation of Electrical/Electronic parts and software.

The essential requirements of the job include:

• Degree in Electrical and Electronics Engineering.
• 1-2 years of experience working in ISO 13485 manufacturing environment. Fresh graduates are encouraged to apply.
• Hands on experience in using measuring equipment like digital multimeter, oscilloscope, function generators, etc. during his/her university studies.
• Understand PCBA manufacturing process, able to read the PCBA schematic diagram and perform troubleshooting.
• Good knowledge in analog and digital electronics is desired.

Travel, Motor Vehicle Record & Physical/Environment Requirements:

• Ability to travel to North America for 1-2 months during project.
• Ability to lift, move or carry equipment up to 10kg daily.

It would be a plus if you also possess previous experience in:

• IPC-610 on Printed Circuit Board Assemble manufacturing process
• Operation and Application on mass spectrometer instruments

SCIEX, a Danaher company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at danaherbenefitsinfo.com.

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At Danaher we bring together science, technology and operational capabilities to accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. Our global teams are pioneering what’s next across Life Sciences, Diagnostics, Biotechnology and beyond. For more information, visit www.danaher.com.

At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

The CPPS group is seeking a highly motivated scientist or senior scientist to lead and conduct research 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 and/or automation. Knowledge of PLC programming would be a strong advantage.

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

• Research into novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Working with a team of scientists and engineers to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Formulate scientific research directions and innovative proposals to secure competitive funding
• Understand the 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 needed

Job Requirement:

• PhD degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls and/or automation.
• Fresh Graduates with strong fundamentals in controls and IIOT are welcome. (For Senior Scientist) 5 years’ experience in research and leadership of R&D projects in the relevant area of expertise.
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Ability to develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others is a strong advantage
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively