(No Experience is required, all training will be provided)

We are looking for a self-motivated trainee Site engineer/ Utility Detection Specialist (LCDW/TCDW) at our company. Our trainee engineers will form part of an integrated team and should be comfortable working well with the rest of our admin and drafter teams.

To be successful as a Utility detection engineer, you should stay up-to-date with detection methods, software, and advancements. Engineers must demonstrate attention to detail and have sound knowledge of the discipline.

- Oversee and carry out projects assigned to you

- Operating electromagnetic cable locator to detect and locate underground services (training will be provided)

- Liaising with drafter and admin staff to carry out projects

- Going to various sites to carry out projects

- Communicating and liaising with clients on their project

- Company transport will be provided (need to have class 2B or class 3 license)

Requirements:

No experience required

ITE Certification/ Poly Certification/ Degree Certification in Electrical/ Mechanical/ Civil Engineering

• MNC, 5 days, North
• $4000 - $4800, performance bonus
• Career advancement

Job scope:

• Operate and maintain advanced probe card analyzers and QA equipment, ensuring compliance with operational standards and functionality benchmarks.
• Prepare, debug, and validate test files for probe card certification, ensuring alignment with precise technical specifications and quality criteria.
• Conduct in-depth investigations and resolve probe card related issues,employing a methodical approach to diagnose root cause and implement corrective measures.
• Engage proactively with relevant departments to maintain QA readiness for all certification processes, ensuring seamless coordination on quality-related challenges.
• Serve as a liaison with headquarters and customers on new certification processes, offering technicial updates and managing expectations effectively.
• Contribute to the continuous improvement of QA processes, leveraging industry insights to enhance operational efficiency and quality outcomes.
• Take on supplementary duties as required, supporting the team in achieving project goals.

Requirements:

• Minimum a Diploma/Degree in Electronics, Mechanical Engineering or equivalent.
• Knowledge in wafer testing or probe card is an advantage
• Good communication and written skills
• Able to start within short notice will be an advantage

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

Production Engineer

• Working hours: 5 Days (Mon to Fri) / 8 am to 4.30pm
• Location: Jurong Island (Company transport provided near Jurong
• East MRT)
• Salary Range: $4500 - $6000

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Responsibilities:

• Develop, review, and update all process control documents, procedures and operation condition sheet in consultation with Production Superintendent and Day Supervisors from Operation.
• Identifying, analyzing, trouble shooting and improving process efficiency, equipment performance, product yield, capacity, quality, process material uses and utilities consumption.
• Manage and improve process control system (DCS, SIS) and process data logging system.
• Support trial production and test run of new grade, new process and equipment with Production Technology Engineer.
• Optimize plant operating efficiency, yield optimization and energy conservation with feasibility study, make the necessary field test to verify the result.
• Provide technical support for Silo & Packaging process, including corrective measure for customer complaint in technical viewpoint
• Lead process safety assessment (HAZOP, LOPA, etc.) and support HSE department technically.
• Submit reports’ finding and recommend modification, improvement and potential investment projects such as debottlenecking, environmental and cost reduction activities (i.e. reduction or more efficient usage of utilities).
• Coordinate with technical section for process simulation, evaluation, investigation, performance & yield optimization
• Perform basic engineering design for all potential investment projects, prepare marked up P&ID’s and the required technical information for cost estimation purpose.
• Coordinate with Technical department all plant improvement and modification activities working closely with Technical Process engineer to prepare detailed engineering design, prepare specification and requisitions for major equipment purchase, review of vendors’ document, conduct hazard analysis, performance tests and commissioning activities.
• Coordinate with Technical department for regular update of P&ID’s, instrument list and equipment list.
• Communicate with global EVAL process improvement team to build synergy for further technical updates of KAP EVAL plant.

Minimum Requirements:

• Bachelor’s degree in science, technology, or engineering.
• Minimum five (5) years of relevant engineering/production work experience in Chemical industry.
• Experience in designing or optimizing the process control system of chemical plants.
• Basic Engineering Skill with utilizing process and instrumentation diagram (P&ID).
• Knowledge of mass and heat balance calculations of chemical plants.

Preferred Requirements:

• Master’s degree in chemical engineering
• Knowledge and experience in chemical process simulations (e.g. polymerization, other reaction process, distillation, drying, and so on)
• Technical understanding of polymer extrusion process
• Knowledge of DCS programming and parameter tuning (PID control)
• Experience in lean manufacturing methods (e.g. 5S, Six Sigma, Kaizen, TPM)
• High proficiency in Excel including VBA, macros, or other related software engineering tools.
• Experience with leading Capex projects
• Experience with Management of Change (MOC), Process safety assessment (PHA, HAZOP, LOPA, FMEA, QRA, etc.), and Root Cause Analysis (RCA).

• MNC Company
• Basic $4500 - $5500 Basic + AWS + VB + Excellent Benefits
• Excellent Welfare and Benefits + Career progression
• Working days: Monday to Friday
• Working hours: 8am to 4.30pm
• Jurong Island. Company Transport provided

Job Responsibilities:

• Oversee, manage, and supervise Company’s in-house and external Contractors for all mechanical maintenance works related to planning and execution of daily maintenance, transition maintenance, turnaround maintenance and upgrading and improvement related to maintenance
• Ensure all mechanical maintenance activities are carried out in accordance to the Company’s HSEQ Standards & Maintenance Management System, statutory requirements and best industry practices.
• Establish, continually improve & execute Company’s maintenance management system in a safe, efficient, and effective way to achieve highest equipment reliability & availability objective.
• Update and maintain accurate maintenance records in order to provide good maintenance history for data analysis and troubleshooting purposes.
• Conduct root cause analysis to eliminate equipment/ system defect and take appropriate preventive/ corrective measures.
• Optimize & manage mechanical maintenance inventory level of critical & non-critical equipment spare parts.
• Other ad-hoc duties as assigned.

Requirements:

• Bachelor’s Degree in Mechanical Engineering
• Familiar with Static and Rotating equipment
• Minimum 3 years of experience in Chemical Process Plant

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

Morgan McKinley is looking for a skilled Machine Learning Engineer - Image Gen for a 12-months contract with our client in the tech industry.

As a Machine Learning Engineer within the ML Platform team, you will play a key role in building our platform for image processing and generation using GenAI. Your focus will be on designing infrastructure that is scalable and extensible to support platform users effectively.

Key Responsibilities:

• Develop the company's Image Generation Platform: Lead the creation of a configurable and scalable image generation platform with functionality similar to tools like ComfyUI. Ensure scalability for parallel processing and the fine-tuning of new models.
• Enable Adoption by the company's Data Science Community: Document the platform and assist users in onboarding to ensure widespread and effective adoption.
• Collaborate with the company's ML Platform Team: Work closely with the team to deploy and integrate the image generation solution into the company's broader ML Platform.

Requirements:

• With 3+ years of experience in Machine Learning Engineering
• Experience with image generation models like Stable Diffusion and Flux. Familiarity with ComfyUI is a plus.
• Proficiency in Python and the ML ecosystem.
• Strong expertise in developing and deploying systems on Kubernetes, with knowledge of GitOps tools like ArgoCD. Experience with Helm and Kustomize is an advantage.
• A solid DevOps background, including Infrastructure as Code (IaC) tools such as Terraform.
• Excellent written and verbal communication skills.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley 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.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

Morgan McKinley is looking for a skilled Machine Learning Engineer - Ray for a 12-months contract with our client in the tech industry.

As a Machine Learning Engineer within the ML Platform team, you will play a key role in the creation of our new compute layer using Ray. You will help drive the set-up of the infrastructure for Ray on Kubernetes and its integration with the company's existing Data system.

Responsibilities:

• Develop and Deliver High-Quality AI Infrastructure: Collaborate with the Machine Learning Platform team to design and build infrastructure for distributed data processing and model training using Ray. Ensure reproducibility across Kubernetes clusters by leveraging GitOps for cloud infrastructure management.
• Enhance Observability for Ray: Build and integrate monitoring and alerting solutions within observability stack, which includes Datadog, Prometheus, and Grafana. Contribute to the development of runbooks and DevOps documentation.
• Facilitate Ray Adoption Among Data Scientists: Partner with the product team to promote the use of Ray and provide support for users running jobs on Ray clusters.

Qualifications:

• With 3+ years of experience in Machine Learning Engineering and Ray
• Expertise in ML-Ops and Distributed Computing: Strong knowledge of distributed computing frameworks for data processing. Experience with Ray is a plus, though familiarity with frameworks like Dask, Modin, Beam, Horovod, or Deepspeed is also appreciated.
• Proficiency in Python and ML Ecosystems: Solid experience in Python programming and associated machine learning tools.
• Kubernetes and GitOps Expertise: Deep understanding of developing and deploying systems on Kubernetes. Familiarity with GitOps tools like ArgoCD, along with knowledge of Helm and Kustomize, is preferred.
• Strong DevOps Background: Experience with Infrastructure as Code (IaC) tools like Terraform is desirable.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley 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.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

• MNC (Manufacturing) - Cable & Connection Technology

• Working Hours: Monday - Friday: 8.30am - 5.30pm

• Working location at Tuas

• AWS + Variable Bonus + Excellent Welfare & Benefits

Job Scope

• 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.

Requirement

• Diploma in Electrical, Mechanical/Mechatronics, Manufacturing/Production, Industrial Engineering or relevant discipline
• 2 - 3 years of relevant experience in manufacturing process engineering
• Possess experienced in the creation Bill of Materials structures will be an added advantage

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.

SIM BEI NA (R22111637)

EA Recruitment Pte Ltd

EA License No: 21C0492

Our client is a well-established MNC, market leader in the Water Treatment industry. They are looking for a QC Coordinator Engineer assist their Engineering team for the next phrase of their business. They are located in South – easily accessible.

Responsibilities:

• Conduct quality control audits.
• Organize pre-inspection meetings with clients.
• Create Project Inspection and Testing Plans.
• Draft Project Inspection and Testing Procedures.
• Address client feedback on QC documents.
• Coordinate and schedule QC activities, including inspection notices and factory acceptance tests.
• Manage coordination and scheduling of QC procedures, reports, and documents.

Requirements:

• Minimum of Bachelor Degree in Engineering or Quality Management
• Minimum of 5 years experience in Quality Control function.
• Experience in the Oil and Gas or offshore and marine industry
• Proficiency in metal welding inspection and piping system testing and inspection

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.

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R21101676 (Ng Zhi Qing Alethea)

• MNC Company
• Basic $3500 - $4000 + Allowance + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Jurong East
• Working days: Monday to Friday
• Working hours: 8.30am – 5.30pm

Job Responsibilities:

• Perform regular maintenance and carry out diagnostic analysis for trouble shooting and repair work
• Handling of measurement and detection equipment for military and homeland security
• Handle sales product enquiries
• Manage post-sales delivery of equipment
• Prepare basic reports
• Any other tasks assigned by superior

Job Requirements:

• Possess minimum Higher Nitec and/or Diploma in Electronics and/or Electrical Engineering or relevant field with 2-3 years of relevant experience
• Possess IT software installation and configuration skills will be an added advantage

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.

Leong Wei Ling (R23117584)

EA Recruitment Pte Ltd

EA License No: 21C0492

Responsibilities:

• Serve as the first point of contact for seeking technical assistance, over the phone, remote connection software, chat, and email
• Perform remote troubleshooting through diagnostic techniques and pertinent questions
• Determine the best solution based on the issue and details
• Walk through the problem-solving process
• Direct unresolved issues to the next level of support personnel
• Provide accurate information on IT products or services
• Record events and problems and their resolution in internal ticketing systems.

Requirement:

• Diploma / Bachelor's degree required in Computer Science, Information Systems or equivalent.
• Technical support professional with 3 years’ experience in the IT technical support / Desktop Support focused on end-user support
• Good experience in support and troubleshooting Windows and Mac OS including mobile devices (iOS and Android mobile operating systems)
• Ability to diagnose and resolve basic to moderately complex end-user technical issues
• Experience with setup and configuration of end-user desktop and laptop computer hardware, software, phones and peripherals.Technical Support / Desktop Support Engineer.

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret that only shortlisted candidates will be contacted.

EA License No. 01C4394

EA Personnel Reg.No. R1104824 (Samsudeen Mohamed Basith)

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

“By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an emailto let us know. Please feel free to contact us if you have any queries.

Job Responsibilities:

• Responsible for research and development on the algorithm for Large Vision-Language Generation Models in the multimedia field, make breakthroughs in key algorithm technologies, such as controllable image generation, fine-grained generation content control, text-to-image generation, text-to-video generation, image editing, object addition & removal & alteration in images, etc.

• Actively explore the latest technologies in large vision-language model, deeply understand the technological development trends in the multimedia field such as multimodal large model generation and editing, as well as industries like mobile phone / autonomous driving, to incubate new products and features.

• Collaborate with relevant product teams to ensure the smooth delivery of related products.

Job Requirements:

• Master's degree or above in Computer Science, Artificial Intelligence, or related engineering fields (Ph.D. preferred).

• Strong background in large vision-language model, AIGC, image processing, and machine learning technologies, with 1-5 years of relevant industry experience. Priority will be given to those who have published papers in relevant academic conferences and journals as the first author, such as CVPR, ICCV, ECCV, NeurIPS, AAAI, ACMMM, ACL, ICLR, ACL, etc.

• Excellent algorithm and deep learning model development skills, proficient in Python/C++ and relevant AI development frameworks such as TensorFlow/PyTorch.

• Experience in image/video processing algorithms or the development of image processing chips.

• Broad vision, able to stay informed about the current status and trends in academia and industry.

• Strong independent thinking ability and teamwork spirit.

Interested candidate who wish to apply for this position, please click on APPLY NOW

EA License No.: 01C4394 | PERSOLKELLY Singapore Pte Ltd

EA Registration No.: R23117518 | Heah Sian Wei

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s COVID-19 health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.

We are representing a leading HVAC equipment manufacturer with over 30 years of industry presence in Singapore to look for an experienced Electrical / Mechanical Engineer.

Location: Kembangan
Working hours: Mon to Fri, 8am to 5pm & Sat, 8am to 3pm
Salary: Basic up to $4000, depending on experience

Job scope:
- Perform diagnosis, testing, repair, and overhaul of mechanical, electrical, and electronic components of chillers
- Assist with product improvement / R&D design of existing chillers through redesign of PCB & PLCs
- Liaise with internal & external stakeholders such as production, sales & marketing, customers and contractors

Requirements:
- Min. Diploma in Electrical / Mechanical Engineering or any relevant discipline
- Licensed Electrician will be a bonus
- Able to use AutoCAD to create engineering & electrical drawings
- Class 3 license would be advantageous