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

Overall Responsibilities:

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

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

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

• Clean parts prior to production use as required.

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

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

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

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

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

• Meet daily production output & quality requirements.

• Perform other duties as assigned by the immediate supervisor.

Open for Singaporeans and PR.

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

Key Responsibilities:

Supervision of Production Activities:

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

Team Leadership:

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

Quality Assurance:

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

Safety and Compliance:

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

Process Improvement:

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

Reporting and Documentation:

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

Requirements:

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

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

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

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

Cultivar Asia Pte Ltd

EA License Number: 19C9782

EA Personnel Number: R1326341 Ng Zhenyu

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

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

1) Production Worker (Aircon environment)

Requirements

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

Interested candidates please email us at [email protected]

Job Responsibilities

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

Job Requirements

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

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)

· 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.

• To analyse user requirements and design, develop, implement and maintain computer applications to support and assist users to meet their business objectives more effectively and efficiently.
• Develop, support and enhance the Data Download Centre (including Engineering Portal) and iSCM websites.
• Develop, support and enhance Excel productivity enhancement tools (VBA macros).
• Support end-users in usage of Plasma and ACCPAC and help to resolve any operational issues, including working together with vendor (Databit) if necessary.
• Develop and enhance data extraction and transformation mechanisms on source systems (e.g. Plasma, YEOS, NYQT, Oracle BI, SAP RFC, PTS etc.) and store the results into Plasma Info Server Monitor the space consumption of Plasma Info so that Server database so that potential problems (e.g. disproportionate consumption of disk space by a particular table, depletion of data tablespace, excessive consumption of temp tablespace) are detected and resolved early to avoid unscheduled database downtime.
• Perform ad-hoc retrieval of order/production/sales data to support incident investigation, reporting or other requests.
• Support Migration Activities of Existing Plasma Info Server to SAP.
• Support & ensure successful implementation of Company-wide Automation (ERP) Projects.

Requirements:

• Degree in Info Systems/Computer Science or its equivalent
• Prefer 2-3 years relevant experience in Manufacturing Industry.
• Entry level are welcome to appy as training will be provided.

Knowledge:

SQL; Oracle PL/SQL; MS SQL Server Transact-SQL

Object-oriented analysis and design

ASP.NET 4.5.1; C/C++/C#; XML

JavaScript; JQuery; CSS; HTML

Excel VBA; VBScript; PowerShell

PHP, VS.Net, MSOffice

Interested Applicants, kindly email your detailed resume to [email protected]

Tempserv Pte Ltd

License No: 06C3745

Attention: Audris Teo / EA Personnel No: R1102063

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

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

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

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

Responsibilities

• Diagnose and solve technical problems on semiconductor machinery and systems, such as computer setups, advanced software, or networked/wireless systems.
• Carry out on-site installations, continuous improvement initiatives, parts overhauls, preventative maintenance, equipment modifications, and repair work.
• Act as the main point of contact between the company and the customer for both administrative and technical matters related to assigned projects.
• Organize logistics and coordinate with customers on equipment-related issues.
• Address customer complaints, offering timely solutions to resolve their issues.
• Track product performance, providing regular updates and feedback on customer service requests.
• Report recurring customer concerns to management to help prevent future issues.

Requirements:

• Minimum of 2 years of related experience in Semiconductor Industry
• Possess at least a Diploma/Degree in Electrical or Electronic Engineering
• Good time management skills, ability to meet deadlines, and strong attention to detail
• Good team player with the ability to work independently

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: QXV54V53

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)

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

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