• Working Hours: Weekdays, 8am to 430pm
• Working Location: Jurong Island (Transport from Jurong East MRT)
• Basic Salary: $4000 - $5000

Ensure safety compliance, risk assessment, and process improvement in daily operations and construction projects, while adhering to health, safety, and environmental (HSE) regulations in the chemical industry.

Key Responsibilities

• Act as the HSE leader in daily operations and construction projects, ensuring adherence to safety standards.
• Lead risk assessments, HAZOP studies, and the review of operating procedures for modifications and site activities.
• Identify high-risk activities based on HAZOP studies, collaborate with production managers to develop and implement safety improvement plans.
• Work closely with production and logistics teams to enforce safe work procedures and compliance with HSE protocols.
• Review safety observations, prioritize improvements based on risk levels, and ensure follow-ups via the Management of Change (MOC) process.
• Collaborate with project engineers, production teams, and maintenance coordinators to ensure timely execution of safety-related projects.
• Regularly review and update emergency and disaster prevention procedures to align with current operations.
• Lead and drive HSE-related improvement projects and initiatives.
• Perform additional tasks as assigned by superiors.

Our Requirements

• Relevant experience in the chemical industry.
• In-depth knowledge of safety legislation and regulations in the chemical sector.
• Diploma or Degree in Engineering, Health, Safety, or Environmental disciplines.
• Proficiency in Microsoft Office applications.
• Strong written and verbal communication skills.
• Excellent organizational and analytical skills with critical thinking abilities.

We regret that only shortlisted candidates will be notified.

Interested applicants kindly click on “apply now” or send your updated resume to [email protected]

Jayden Kua Jing Yu

Registration Number: R24124814

EA License Number: 02C4944

People Profilers Pte Ltd, 20 Cecil St, #08-09, PLUS Building, Singapore 049705

http://www.peopleprofilers.com

Job Description

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

Key Responsibilities

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

APPLY NOW!!!

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

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #71458 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Celine Tan | EA Reg No.: R1873694

Job Responsibilities

• Operate production machinery and perform basic troubleshooting
• Account for the finished goods produced
• Calculate production waste
• Basic warehousing and stock taking responsibilities
• Housekeeping duties
• All other duties assigned as deemed necessary for the operation of the warehouse

Job Requirements

• Minimum N level qualification
• 1 year working experience in warehouse/retail environment preferred
• Detailed and meticulous
• Ability to organise and prioritise
• Adaptable and flexible
• Responsive and resourceful in a fast-paced environment

Welfare and Benefits:

• Daily Meal Allowance
• Bi-Monthly Incentives
• 13 Month Salary
• Birthday Incentives
• Long Service Incentives
• Staff Discount
• Panel Doctors
• Excellent Branding

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

Responsibilities:

• Conduct physical stock take and inventory counts to maintain accurate records.
• Process material requisitions to ensure timely supply of packaging materials.
• Utilise the JOT system to track and manage inventory and shipping processes.
• Confirm actual packing results after production closure to reconcile inventory and shipping records.
• Identify, labelling and keep materials in stock, recording location of inventory and reporting shortages.
• Locate materials/supplies by pulling and verifying materials and supplies listed on production orders.
• Keep inventory and loading/unloading areas clean.
• Open containers, sort and catalogue materials.
• Verify the accuracy of quantity and quality of incoming deliveries.
• Work with internal to locate missing packages, fix incorrect deliveries and replace damaged products.
• Pick and pack finished goods according to the specified packing order (SPO) list.
• Assist packing finished goods for shipment, ensuring adherence to packing standards.
• Utilise packaging materials like bubble wrap and corrugated cardboard to safeguard products
• Seal and label packages accurately, including affixing shipping labels and customs documentation.
• Upload and download pallets of finished goods to and from racks using material handling equipment.
• Document product shipment by recording units shipped.
• Ensure orders and distribution of products from inventory, delivering production materials and supplies where needed and staging finished product final distribution.
• Contributes to the orderly operation of stock and materials storage area.
• Maintains in-process inventory at work centres by delivering and opening materials and supplies.
• Operates forklift and pallet jack or signal machine operator to move materials onto and off trucks.

Requirements:

• ITE in any discipline.
• Experience in warehouse/manufacturing environment
• Prefererably in packing or material handling role is a plus.

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

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

Responsible for providing oversight for Quality on-the-floor and operations support, the QA Associate will support manufacturing operations and IPC testing through purposeful presence on the floor, and support of complex manufacturing investigations, change control, and unexpected result investigations. Required to perform a 12-hour shift (full night shift preferably).

Responsibilities:

• Support the maturation and continuous improvement of site quality systems, including On-the-floor quality oversight, deviation management, change control and ensure that the systems are managed in compliance with cGMP expectations
• Participate in on the floor triage and support root cause investigations for major investigation if applicable
• Review and approve minor deviation, change controls, and other quality records such as electronic batch records, SOPs, logbooks and work orders
• Support in regulatory inspections, and interact directly with regulatory inspectors
• Supporting other QA initiatives/activities such as continuous improvement projects, supplier quality, stability program, product quality review, customer complaint investigation
• Escalate any significant event to Quality management in a timely manner

About You:

• Bachelor’s Degree in Science or engineering related
• 1-4 years related work experience (manufacturing, process development, or quality assurance) in the pharmaceutical/biopharmaceutical industry with progressively increasing responsibility and demonstrated experience in quality assurance, and quality systems. Fresh graduates are welcome to apply.
• Direct experience with bulk manufacturing of biopharmaceuticals preferred.
• Demonstrated proficiency of written and verbal communication skills (including technical writing and presentations) with ability to communicate and collaborate effectively with technical and senior management staff
• Fluency in written and spoken English
• Based in Tuas, able to work predominantly on night shift, 8pm to 8am, on a 2-2-3 shift pattern

Salary : S$3000 - 5000

Duration : 1 year contract. Option to extend/annual renewal depending on performance

Job Description:

• Conceptualize and design creative concepts and solutions for various projects, not limited to exhibitions, events, and installations.
• Support the entire creative process, from concept development to final execution (including FA preparation).
• Work closely with cross-functional teams (locally and abroad), including production, account servicing and operations.
• Ensure projects are delivered on time and within budget.
• Stay updated on design trends and technologies in the experiential creative industry.
• Manage multiple projects simultaneously and prioritize workload.
• Present design concepts to clients and stakeholders.
• Conduct quality checks during the production process and setup.
• Good technical knowledge.
• Assist in the procurement process and liaise with stakeholders (not limited to suppliers and contractors) for quotations.
• Pre-event planning and on-site setup coordination to ensure the delivery of a high quality event.
• Conduct site inspections and measurements.

Requirements:

• Candidates should possess a solid portfolio of 2D work and be highly motivated.
• Bachelor's degree / Diploma in Art, Design, or related field.
• Minimum 3 to 5 years of experience in 2D experiential creative design. Aspiring designers with <3 years of experience are welcome to apply.
• Proficiency in design software, such as 3D Max, sketch-up, Auto-Cad, Photoshop or Illustrator.
• Candidates must be a team player and possess the ability to work independently with minimal supervision.
• Business travel might be required.
• Candidates must possess at least a Diploma, Advanced/Higher/Graduate Diploma, Bachelor's Degree, Post Graduate Diploma, Professional Degree in Art, Design, Creative or equivalent.
• Candidate should have a good command of English Language (written & spoken) and is savvy with Google Workspace tools.
• Prior experience in Events and/or Exhibition related industry is preferred.
• Full-Time position(s) available.

Responsibilities:

• Plan materials requirement according to production schedule and to ensure optimal inventory levels
• Monitor production schedule to meet delivery requirement
• Work closely with Testing team and arrange production staff to work according to schedule

Requirements:

• Diploma in Manufacturing/Production/Electronics Engineering
• Minimum 2 years of relevant work experience in electronics manufacturing industry
• Able to communicate and work closely with internal customers, buyer and sub-contractors
• Experience with ERP system
• Team player with supervisory, interpersonal and communication skills
• Monthly salary $3000 - $4200
• Working hours: 8.30am to 6pm
• 5 days work week
• Singaporean or PR preferred

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

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

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

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

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

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

R:8YDE1NA18

Our client is a Manufacturing MNC. Due to business needs, they are now recruiting a to be part of their Procurement Team for ongoing transformation projects. They are located in the East - easily accessible.

Duties of Buyer:

• Analyze sales and purchasing data to identify market trends and support decision-making.
• Conduct cost analysis to assess total costs and identify cost-saving opportunities.
• Source and evaluate suppliers, contractors, and value-added services for projects.
• Collaborate with sales and customer service to manage subcontractors and place orders.
• Maintain material master data, including creating part numbers and Bill of Materials (BoM) items.
• Negotiate pricing and terms with suppliers to secure optimal deals.
• Monitor and adjust order schedules to meet delivery requirements.
• Address product quality issues, short-shipment claims, and replacements with suppliers.
• Plan and propose buffer stocks to meet project demands and ensure supply consistency.
• Perform demand planning and forecasting for projects and recurring business.
• Identify and implement process improvements within procurement operations.
• Handle other duties as assigned.

Requirements:

• Diploma in related field
• Relevant experience
• Well versed with SAP

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

Responsibilities:

• Coordinate and execute product runs based on schedules, liaising with planners for any changes or delays.
• Ensure production processes comply with company and regulatory requirements.
• Ensure operators comply with food safety standards and maintain product quality.
• Monitor and control inventory, including SAP data entry.
• Minimize product loss and maximize plant efficiency by collecting and compiling production data (e.g., yield, losses, downtime, production line efficiency).
• Validate staff timesheets, overtime, and transport claims.
• Maintain and verify production reports and perform daily plant inspections.
• Maintain plant safety through daily briefings (e.g., toolbox meetings, RA briefings).
• Ensure safe use of equipment and schedule inspections and training.
• Prepare work schedules and assign production line tasks to ensure a safe working environment.
• Conduct root cause analysis, troubleshoot issues, and provide solutions. Prepare incident and staff counseling reports.
• Act as backup line leader when needed.
• Ensure all documentation for regulatory compliance is completed accurately.
• Work closely with the site management team to optimize production planning with ongoing activities (e.g., maintenance stops, project works).
• Assist in resolving employee issues and disputes.
• Identify efficiency improvements and suggest enhancements via SGA.
• Provide coaching and guidance to operators to meet company goals and drive continuous improvement.
• Organize and develop workers' skills, establish job expectations, and evaluate performance.

Requirements:

• Minimum Diploma or equivalent
• Min. 2 years of relevant experience in the F&B manufacturing environment.
• Good knowledge of GMP and WSH requirements.
• Strong problem-solving abilities and the ability to quickly assess production issues.
• Ability to remain calm under pressure.
• Punctuality and strong time management skills.
• Experience in managing people.

Interested candidates, do submit your resume to [email protected] or telegram @alexgohhl

➖

Alex Goh Hock Leong

(CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

[email protected]

Job Responsibilities:

• Raw Material Preparation as per order requirement.
• Operating of Dispersion process.
• Operating of Cleaning & sieving process.
• Perform Packing and labeling of product.
• Perform system transaction and housekeeping.

Job Requirement:

• At least 2 years of Production Experience and Chemical Process Preferred
• Able to perform shift work
• 5 days work week (Mon to Fri)
• Shuttle bus provided from several MRT station
• Working location: Pioneer Crescent

Job Summary:

• Monday to Friday, 8am-5.15pm
• Location: Tuas Link
• Basic $3000-$4000
• AWS and Performance Bonus
• Annual leave 21 days

About the role

Reporting to the Production Manager, this full-time Production Supervisor role is responsible for overseeing the efficient and effective operations of the production floor at our FMCG/Beverage Manufacturing facility located in the Tuas View West Region. In this hands-on supervisory position, you will play a crucial role in ensuring the smooth running of our production processes and contributing to the overall success of the business.

What you'll be doing

• Lead and motivate a team of production staffs in powder and liquid filling to ensure good quality and efficiency
• ⁠Ensure good GMP and food standards are always maintained
• Work closely with functional departments to ensure smooth operations and follow up
• Perform training and development to enhance competency of production staffs
• Ensure good stock record and accurate inventory management by timely update into SAP system
• Initiate improvement and promptly inform superior for any. quality defects and process deviation to ensure optimal production
• ⁠Monitor production schedule and daily output
• Perform material usage, labor hours usage and production confirmation in SAP
• Monitor production staff attendance and overtime hours
• Provide supervision and motivation to operation staffs and addressing disciplinary issues when arises
• Provide back up support to maintenance team in equipment troubleshooting
• Assist in training operators in automation control process

What we're looking for

• 3-5 years of experience as a Production Supervisor or Team Leader in a FMCG/Beverage manufacturing environment
• Diploma or degree in Engineering, Operations Management, or a related field is preferred

Interested Applicants, kindly send your updated CV to +65 8500 3939 or click on “APPLY NOW”.

We regret that only shortlisted candidates will be notified

EA Personnel Name: Chin Jia Hui, Janice
EA Personnel No: R22107485
EA License No: 15C7752

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 $4500 - $5000 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Boon Lay
• Working day: Monday to Friday
• Working hours: 8.30am to 5.30pm

Job Responsibilities:

• Collaborate across teams to collect necessary data and contribute to the development of pricing strategies.
• Develop pricing structures for new products and revise pricing for existing products, ensuring alignment with market conditions and business objectives.
• Assist in product profitability analysis, factoring in production costs, marketing expenses, and sales performance, to determine competitive and profitable price points.
• Recommend pricing adjustments based on analysis to maximize product profitability and market share.
• Support the pricing review process by preparing detailed reports, analysis, and presenting recommendations to stakeholders.
• Monitor pricing performance and ensure consistency and accuracy in all pricing data across channels and systems.
• Conduct in-depth pricing analysis, examining historical pricing trends, price elasticity, and product performance, to guide strategic pricing decisions.
• Leverage data-driven insights to identify pricing optimization opportunities and enhance overall pricing strategy.

Job Requirements:

• Possess minimum Bachelor’s degree in any discipline, with minimum 1-2 years relevant experience in product pricing, market research or analytical role

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.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

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

Job Duties

• Operate and maintain machinery.
• Do packing and product labeling and ensure accuracy.
• Monitor levels of stock and liaise with goods delivery driver and admin.
• Monitor and update stock levels in warehouse and keep strict traceability records of production.
• Maintain a flexible approach to work to meet team based work requirements.
• Observe and maintain safety levels with particular attention to machinery and electrical equipment.
• Maintain a strict level of personal and workplace hygiene.
• interpreting specifications and job orders
• estimating manpower requirements
• assigning duties to workers
• analysing and resolving work problems
• coordinating the work of one or more units with other units

Requirement

1. Team player

2. Relavant working experience in food manufacturing

3. Might be required to work on PH and Weekends for overtime

4.Able to work at night shift and split shift

Job Description:

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

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

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

Job Requirement:

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

Job Description:

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

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

Job Requirement:

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

Job Description:

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

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

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

Job Requirement:

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

Job Description:

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

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

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

Job Requirement:

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

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:

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 Duties

1. Operate and maintain machinery.

2. Do packing and product labeling and ensure accuracy.

3. Monitor levels of stock and liaise with goods delivery driver and admin.

4. Monitor and update stock levels in warehouse and keep strict traceability records of production.

5. Maintain a flexible approach to work to meet team based work requirements.

6. Observe and maintain safety levels with particular attention to machinery and electrical equipment.

7. Undertake training to meet food legislation requirements.

8. Maintain a strict level of personal and workplace hygiene.

Requirement

1. Team player

2. Relavant working experience in food factory

3. Might be required to work on PH and Weekends for overtime