Highlights

• Lunch provided
• In-house gym facility
• Short walking distance from Tuas Link MRT

Job Responsibilities

• Process ready goods
• Mix and process ingredients according to recipes
• Perform packing, labeling and storage duties according to SOPs.
• Clean and sanitize the production kitchen with proper cleaning agents.
• Assist other areas of production as required by the Production Supervisor / Manager.
• Perform other ad-hoc duties as assigned

Requirements

• Candidate must be physically fit as he/she is required to lift and carry heavy loads and work in a cold environment
• Candidates able to perform simple machinery maintenance and repairs have an added advantage
• Candidates possessing valid Food Hygiene Certificates have an added advantage
• Able to work in a team and provide assistance to colleagues where needed

Part-Time positions are available.

Job Description:

1) Plan production schedule and maintain inventory levels

2) Coordinate and provide training to production staff

3) Assist in equipment maintenance

4) Apply corrective actions for shut-downs during critical and emergency situations

5) Monitor and maintain manufacturing processes

6) Apply food production standards and SOPs related to safety and hygiene policies.

7) Coordinate with teams to resolve inter-discipline issues

8) Improve operation planning using data analytics and data presentation during meetings

9) Housekeeping and General duties as required

Requirements:

• Team player with initiative, drive & good communication skills
• Possess positive working attitude
• Able to work on shifts and weekends/ PH.
• Able to work overtime.
• Physically able to lift and carry up to 3kg of goods.

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

· Position: Operation Assistant

· Singapore's leading seafood processors, exporters and distributors

· Working hours: 5.5 days (Monday to Friday, 8am – 5.30pm; Saturday 8am – 12noon)

· Salary : $1,800 (basic salary) + Meal Provided

· Working Location: Jurong

· Duration: 3 months (might be extended depending on production need)

· Industry: Processing and preserving of seafood

Main Responsibilities:

· Processing and packing of frozen seafood products.

· Operate Semi Auto machine / cutting tools.

Requirements:

· Preferably with hands-on experience in Manufacturing Production Department.

· Physical fit, able to carry 10-20kg.

· Training will be provided.

· Able to commit overtime when needed.

Email to: [email protected] for more information.

***We do not charge our candidates any referral fee nor bind them with any contract. ***

Eugenie Cheah

Consulting Manager

Reg no.: R24122293

EA No: 20C0257

Opportunity

• Our Client, is an established MNC company
• $2100 - $2300 Basic + Shift Allowance + OT
• 12 hours shift
• Location: West (Tuas)
• Completion Bonus
• Training provided!

Job Description

• Operating of manufacturing machine equipment
• Assisting in the preparation of safety work permits to perform maintenance and engineering work in production areas
• Perform troubleshooting/repair on production equipment
• Performing process recovery for equipment
• Sampling inspection of parts as per the quality plan
• Good housekeeping of machine and work area.
• Perform preventive maintenance of machine.
• Assist Technical Specialist/Supervisor in prevent maintenance and enhancement projects.

Requirements

• Min O/N Levels and NITEC/Higher NITEC in Mechatronic, Electrical, Electronics, or any Engineering related studies
• Candidates with/without relevant experience are welcome to apply.
• Experience in Assembly, Build, Test, Preventive Maintenance
• Able to work at height, carry heavy loads and work in confined space.

Next Step

• Interested candidates can email to [email protected] with details below:
• Full Name
• Residential Area
• Updated Resume
• Availability

Edmond Lee
Direct Line: 8206 8857
EA License No: 91C2918
Personnel Registration Number: R23114813

• MNC Company
• Basic $4000 - $5000 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Jurong Island (Company Transport Provided)
• Working day: Monday to Friday
• Working hours: 8am to 4.30pm

Job Responsibilities:

• Lead daily operation as an HSE Production Engineer to ensure Safety in both daily operation and construction projects at site
• Lead HSE aspect of operation in risk assessment, Hazop study for new modification projects, changes to operating procedures, site construction activities
• Review and make list of high-risk activities in the process operation based on Hazop study, have regular meeting with production manager and make plan to improve safety level in such areas of operation
• Coordinate closely with day production & logistics members for HSE aspect of process operation and ensure safe work procedures are followed
• Study and review all the safety observation feedback and prioritize based on level of risk to follow up through MOC process. Ensure improvement items are followed by keeping records and timeline
• Work together with project engineers, production members and maintenance coordinator to ensure safety related projects are followed and implemented in a timely manner
• Review the emergency and disaster prevention procedures to ensure procedures stay relevant to current operation and up to date
• Lead and enhance any other HSE related improvement projects/activities
• To perform any other duties or assignments as assigned by superiors

Requirements:

• Diploma / Degree in Engineering, health, safety, or environmental field of study
• Working experience in the chemical industry
• Deep knowledge of Safety legislation and regulations in the chemical industry

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

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

We regret that only shortlisted candidates will be contacted.

THIEN CHING MEI (R2198032)

EA Recruitment Pte Ltd

EA License No: 21C0492

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

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 RESPONSIBILITY

You will be learning the latest operational aspects of the highly proprietary processes.

You are expected to understand and comply with all Corporate and Plant EHS rules/policies/procedures. You will work closely with Process Engineers in learning the process and equipment troubleshooting, establishing the work centre document (SOP) system, and training all Manufacturing Assistants. You will also assist Production Supervisors in fulfilling shipments with good quality products to customers on time. You will also be involved in Kaizen activities and contribute to the continuous improvement of the operations team.

REQUIREMENTS

• Diploma in Mechanical/Chemical/Electronics Engineering or equivalent relevant experience
• Minimum 3 years of manufacturing experience. Those without manufacturing experience may also apply
• Good statistical background with knowledge of Lean/Six-Sigma methodologies
• Good written and oral communication skills
• Able to work effectively with multi-disciplinary teams
• Able to perform 12-hour rotating shifts

Job Summary:

Comply with the management regulation of company and department, working according to MPI’s, QI’s and other WI’s strictly.

Essential Duties and Responsibilities:

Include the following. Other duties may be assigned.

• Responsible for the safe operations of equipment to manufacture products. Perform checks and ensure safety features (machine guarding, interlocks, etc) is in place and under any circumstances should not bypass.
• Maintain 6S in working area. Follow standard
• Report immediately to direct supervisor if any safety features (machine guarding, interlocks, etc) are not functional or present some alteration.
• Comply with the management regulation of company and department, obey the job assignment.
• Operation must be conducted according to WI strictly，and familiar with their related responsibility
• Deal with other assignments assigned by superior.

Responsibilities:

• Conduct forecasting and planning of materials to ensure smooth production process.
• Schedule and plan production activities based on job orders.
• Monitor the lead time of producing the finished product.
• Update and check inventory physical stock and arrange production of finished goods to meet the sales order.
• Ensure production schedule meet the delivery date.
• Liaise with suppliers for powder coating.
• Troubleshoot discrepancies and quality issues.

Requirements:

• Experience in aluminium working sector and manufacturing.
• Able to lead team members on production and installation.
• Have experience in working machineries.
• Able to read technical and installation drawings.
• Ensure products and install quality.
• Planning of production schedules and allocate sufficient Manpower.
• Implementation production processes and maximize efficiency and reduce production waste.
• Implementing continuous process improvements.
• Preparing material and equipment lists, PO, cost analyses and estimated cost.
• Provide training staff for new production teams.
• Working hours &days : 6 days work week, off on Sunday,8:30am to 5:30pm.
• Working location - Ubi

Job Responsibilities and Duties

• Assist to execute daily production control activities, such as Production Scheduling, Line Balancing and manpower planning.
• Assist to execute daily quality control activities, such as Adherence to all SOP requirements as per respective regulatory guidelines GMP, Halal, GDP Medical Device & Therapeutic products.
• To ensure documentation and records are proper and complete.
• To ensure housekeeping & cleaning of the production equipment’s and facilities are completed.
• To carry out production activities as per production operators and hand packers.
• To execute maintenance activities.
• Any other duties assigned by superior / management.

Key Performance Indicators: -

• Ensure daily production targets are carried out and timely and accurately
• Ensuring all documents and records are accurate and complete.
• Ensure production equipment’s and facilities are carried out daily.

Job Description

1. Design & Development for Special/New Product

2. Claim Handling -Investigate and response to customer claim

3. Conduct Functional & Life Testing

4. Involve in Production rationalization & SDG projects

5. Global Supplier Expansion – Evaluation and qualification of supplier, parts, process

6. Install & Commissioning of production facilities

7. Improvement Project Work:

• Study, propose, and implement projects.
• Rationalize processes and facilities for improve efficiency, quality, cost, and safety.
• Set up new processes or facilities.
• Design and build facilities.

Job Requirements

1. Technical Skills:

· Passion for mechanical automation technology.

· Strong technical inclination, including understanding system design and working principles.

· Hands-on approach – willing to engage in practical work, not just desk-based tasks.

· Minimum 2 years of experience in a related engineering field.

· Preferably possesses knowledge in CAD, PLC, Machine Vision, and Robotics.

2. Personality Traits:

· Committed and self-initiative, with a proactive approach to problem-solving.

· Creative problem solver, thinking innovatively to address challenges.

· Curious with a thirst for knowledge, willing to refer to manuals and undertake self-study.

· Logical thinker with a hands-on mentality, implementing improvements and troubleshooting effectively.

· Sense of responsibility and urgency in addressing issues independently.

3. Communication Skills:

· Cooperative and able to work effectively in a team.

· Proficient in technical report writing.

· Strong communication skills to convey ideas and solutions effectively.

· Able to communicate in Japanese will be an added advantage

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

Mandatory Skills

• Recent experience in working with Java J2EE applications
• Experience in application support role for min 1 years for support or Developers willing to learn with good knowledge of Java, Unix, SQL
• Experience in programming languages such as JAVA/J2EE.
• Experience in Unix commands , SQL queries
• Knowledge of web applications, batch jobs, JBOSS, MariaDB, SQL, Shell
• Knowledge of Job scheduling, MQ setup , C:D setup experience is a plus
• Exposure to banking industry is a plus
• Dynamic individual with thirst to learn
• Strong team player with excellent inter-personal skills
• Ownership oriented and ability to meet SLAs with no compromise on the quality of the work

Requirements

• Must be graduate from IT or Computer Science
• Must have IT background and intermediate knowledge and hands on experiences with SQL and Linux
• Need to have eagerness to learn and perform with committment

Kindly take note of the following details for shift work

1. Allowance should be included in the monthly hiring rate.
2. Transport is claimable - before 7am (for morning shift 6am to 3pm) , after 11pm (afternoon shift 2pm to 11pm)
3. Shift Timing
   1. Morning shift 6am to 3pm
   2. General shift 9am to 6pm.
   3. Afternoon shift 2pm to 11pm
   4. Night shift 10pm to 7am.
4. Need to support including night shift, weekends and public holidays

1. In charge of Production and Logistics

2. Work closely with Management and Production

3. Responsibilities of the job include: planning and organizing production schedules.

4. Ensure that manufacturing processes run reliably and efficiently.

5. Friendly and hardworking

• Design and develop ATE (Automated Test Equipment) programs for new products, covering both production and characterization testing.
• Engage in hands-on testing debugging, conduct RMA analysis, and enhance testing solutions for both hardware and software.
• Develop a test plan for the product, including scheduling, resource needs, and overseeing project tracking and execution.

Requirements:

• Degree in Electrical/Electronics Engineering
• At least 3 years of leadership experience in ATE test program development.
• Proficient in C++/ VB, ATE testers and Chroma.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at

www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

• 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 overseeing daily QC inspections activities in compliance with established standards
• Provide training, coaching and mentoring to enhance the skills and performance of team members
• Prepare and maintain work schedule for the department to ensure optimize resource for overall efficiency
• Work with cross-functional teams to implement continuous improvement, track status of non-conformities and CAPA effectiveness
• Responsible for review and approval of DHR. Ensure quality records and samples are retained complying with good writing practice GDP requirements
• Implement quality documentation changes, such as QC procedures, process workflows, work instructions, etc. Guide the team to follow through the change
• Review and submit validation or verification measurement reports
• Perform daily process audit to meet quality operational requirements
• Ensure product identification and traceability of product are in place
• As calibration administrator, ensure equipment are calibrated correctly, provide accurate measurements and having proper identification
• Assist in customer complaint analysis, investigation of quality issues and corresponding improvement measures
• Authorize the release (COC) of products, COA review and approval
• Adhere to safety protocols and implement preventive measures to maintain a safe working environment
• Monitor and report KPI of QC team job performance, production quality trends, quality control charts, etc.
• Any other tasks as assigned by the superior

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.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

Production Test Manager

(Semiconductor Device)

• Working Location: Tai Seng
• Working Days: 5 days (office hours)
• Salary Range: S$ 10,000 – 12,000

Job Requirement:

• ATE Test Program Design and Development for new products (Production and Characterization Test)
• Design/Develop Final Test Loadboard and Wafersort Probecard
• Perform Characterization Testing, prepare test specifications, define tests, conditions, criteria, etc.
• Solid digital and mixed-signal programming experience on ATE using C++/VB language, and scripting
• Monitor and manage production test yields, maverick lots, engineering lots, product test log maintenance, product data statistical process, characterization data process.
• Hands-on test debugging, RMA analysis, and improving test solutions (Hardware and Software)
• Establish cost-effective production test solutions
• Develop team technical competency.
• Build product test plan, schedule, resources requirement and project tracking and execution.
• Conduct product test and releases review, approve the test program releases.
• Maintain and improve the product test process.

Job Requirement:

• Degree in Engineering (Electrical/Electronics)
• Minimum 5-yrs ATE Test Program Development (C++ and/or VB)
• Experience in Test HW Development (Loadboard and Probecard)
• Good knowledge on manufacturing process (fab, packaging, test)
• Hands-on development experience is a must with Teradyne J750 ATE testers, IG-XL test programming
• Hands-on development experience with Chroma and other main stream testers.
• Project management skills and experience in people management.
• Preferred: Knowledge in AEC Q100 automotive qualification guidelines, experience in the automotive test flow, AEC Q100 data analysis, wafer and FT lot process.

Apply now for Interview arrangement

Daniel Wong | Senior Consultant | Reg No: R2095781

The Supreme HR Advisory Pte Ltd | EA No: 14C7279

Rotational Basis - Work Hours & Possible Shift Patterns (Might be subjected to changes):

(1) 24/7:

1st shift - 7AM to 6PM

2nd shift - 11AM to 10PM

3rd shift - 9:30PM to 8AM

** this usually have 4 days/nights work followed by 3 days off

(2) Regular:

1st shift - 8AM to 5:30PM

2nd shift - 9AM to 6:30PM

3rd shift - 1PM to 10PM

**this is usually Monday to Friday, weekends off

What we are looking for:

Unix/Linux OS, Shell Scripting, SQL Queries, Control-M Job Scheduling

Job Objectives

• The specialized Group Application Support IT Production Support Engineer is responsible to support application wellness in production, investigate production issue raised, and respond to user with feasible workaround.
• Closely follow-up and monitor issue from investigation, pass relevant details to L2/L3 team. Clarify user queries.
• Make sure system availability as per SLA across countries for multiple applications / interfaces. Perform scheduled health check tasks across applications and raise alerts in case required.
• Able to work in shift-based environment, support implementations during bank’s green zone.

Job Responsibilities

• Investigate production issues, respond based on production defect severity SLAs.
• Manage and respond to users on timely manner.
• Log incident ticket for production issues and user queries
• Follow up on defect and incident closure and meet incident closure KPI.
• Make sure system availability as per respective agreed SLA.
• Ensure daily start of day (SOD) and end of day (EOD) execution for supported applications complete successfully.
• Provide support for annual Disaster Recovery (DR) exercise for supported applications.
• Provide support to System Engineers on server level patches / upgrade as and when applicable.
• Knowledge with 3rd party monitoring tools like Control-M, Genos, Splunk, SQL Monitor
• Knowledge with Market Data, and Genos monitoring setup and dashboard configuration
• Ensure application incident & task documentation is properly updated for each production release.
• Enthusiastic, hardworking, proactive and goal-oriented, with excellent communication and presentation skills, demonstrated professionalism and attention to detail.
• Proven ability to work and resolve production incidents under strict time constraints and provide workarounds using AS400/mainframe or Unix shell or DB scripts etc.
• Strong skills in AS400, Linux/Unix Shell scripting, MS SQL, Oracle, BMC Control-M Scheduler
• Good to have understanding and experience of ITIL methodology [service operation]

Requirements

• Prior hand-on production support experience of OPEN Systems/AS4000
• Good support knowledge in either one of the retail or wholesale payment or customer information systems
• Willing to work in onsite shift-support model [24*7]
• Hands-on experience in writing AS400 and SQL queries and parsing logs for issue investigation
• Hands-on experience in writing shell scripts (UNIX) and optimize incidents investigation.
• Strong written, oral communication skills and able to manage user.
• Ability to easily adopt to any technology / environment.
• 2 or more years’ production support experience in bank or financial vendors across multiple technologies / platform
• Be able to work in fast pace and high-pressure working environment.
• Willingness to work across platforms – UNIX / open, AS/400 and mainframe

Job Description

• Liaise with internal and External Partners to drive SIMTech Technology /solutions adoption
• Compile Market Intelligent for assgined industry and identify businesss opportunities and competition
• Strategise with SMC director and other stakeholder to develop effective initiative for assigned industry /solutions
• Meet IDO KPI : Billed Revenue, IRS Cash, T-up , licensing revenue , Success stories , etc
• Develop marketing collateral for SMC - for different products and solutions
• Organise marketing event - seminar , workshop and talk to promote SIMTech technology and solutions
• Handle and negotiate terms of business and IP ownership for each projects

Manage all agreement - NDA, RCA and MOU

Candidate must have good knowledge & capability

• Business law and terms of business
• Sustainability solutions, technology and trends
• Business development capability
• Negotiation and abilityto develop good business relationship with customers

• Execute daily production activities on the production line according to work instructions, including tofu making operations.
• Ensure cleanliness and hygiene standards are maintained in the production area.

Requirements:

• PSLE and above
• At least 1 year of relevant working experience.
• Able to work in hot, humid and wet environment.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

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EA Licence: 19C9701
Registration: R21100996