Location: Tuas Link
Working hours: Mon to Fri, 8am to 5pm
Salary: Up to $4,000

Job scope:
• Oversee the maintenance of the building, facilities and security of the site.
• Coordinate and perform inspections, testing, routine maintenance and repairs on all site equipment (such as electricity, fuel & water supply, HVAC, security and fire safety systems).
• Provide updates to the Facility Manager regarding issues to be addressed, ensuring that critical systems are fully operational.
• Liaise and supervise contractors on-site during maintenance and repair activities.

Requirements:
• Min. Diploma in facilities management or any relevant engineering discipline
• Singaporean or PR only

Please email your updated resume with your last drawn salary, notice period and expected remuneration to [email protected] to apply.

Sylvie Yong (R1769137)
The HR Ecology Pte Ltd (13C6391)

Morgan McKinley is looking for a skilled Machine Learning Engineer 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 developing frameworks and infrastructure for evaluating large language models (LLMs). Your focus will be on creating automated, repeatable evaluation processes and optimizing pipelines to ensure robust and efficient model assessments. The team is at the forefront of empowering teams across the organization to leverage the power of machine learning

Key Responsibilities:

• Design and Optimize LLM Evaluation Pipelines: Develop scalable pipelines to assess the performance of large language models, utilizing tools like Ray to enable efficient distribution of tasks.
• Develop Evaluation Metrics and Benchmarks: Create and integrate a comprehensive set of metrics and benchmarks to evaluate LLMs across various domains and tasks.
• Analyze and Communicate Results: Conduct detailed analyses of evaluation outcomes to identify model strengths, weaknesses, and areas for improvement, and present findings effectively to stakeholders.
• Collaborate Across Teams: Partner with research scientists and engineers to understand model requirements and implement effective evaluation strategies that align with their goals.
• Stay Updated on LLM Trends: Keep abreast of the latest advancements in LLM evaluation methodologies, tools, and best practices to ensure our processes remain cutting-edge.

Qualifications:

• With 2-3 years of experience in Machine Learning Engineering and Python
• Expertise in LLM Evaluation: A solid understanding of methodologies, metrics, and benchmarks for evaluating LLMs across tasks like text generation, summarization, and question answering.
• Proficiency in Distributed Computing: Hands-on experience with frameworks like Ray or similar technologies for scaling LLM evaluation processes.
• Strong Python and Machine Learning Skills: Advanced programming skills in Python and familiarity with machine learning libraries and tools.
• Experience with Kubernetes and Cloud Platforms: Proficiency in deploying and managing applications on Kubernetes, with a working knowledge of AWS.
• Strong interpersonal skills to work effectively with cross-functional teams and convey technical findings clearly.

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

Remuneration: Basic + VB

Work location: Alexandra

Job Description:

Report to the Project Director / Manager in Charged of the WTW system.

• Project Support: Provide technical expertise to oversee the design, development and construction of the WTW system.
• Interface with WTW system designer, vendors, fabricators including drawings reviews, sourcing equipment, cost control and monitoring, schedule monitoring and update.
• Project Execution: Oversee project implementation according to the requirements and objectives. This includes schedule monitoring, vendors sourcing and recommendation, purchase/ cost evaluation, resources allocation, attend to inquiries, clarifying technical details, supervising project execution, implementing corrective actions, conducting Factory Acceptance Tests, and finalizing as-built
• documentation.
• Troubleshooting and Repair: Diagnose and resolve malfunctions in deck machinery using technical manuals, hand tools, and power tools.
• Record Keeping: Meticulously maintain records of all changes, maintenance, repairs, and inspections.
• Develop operating, maintenance and safety procedures for the WTW system.

Job Requirements:

• Degree in Mechatronic or equivalent
• Min 5 years working experience in Marine Industry or shipyard environment.
• Good understanding of deck machinery such as winch, crane, lifting and handling equipment and the related IACS (particular ABS, DNV, BV) rules and regulations.
• Specific experience in WTW system (Offshore Passenger Transfer System) is highly advantageous
• Strong understanding of mechanical principles, hydraulic and electrical system and P&ID with ability to perform trouble shooting.
• Strong leadership with problem-solving skills. Strong understanding in structural design is highly advantageous
• Ability to speak both English and Mandarin to liaise with Mandarin speaking clients
• Software – able to use MS Office, MS Powerpoint, MS Project, Adobe and AUTOCAD. Ability to use Primavera scheduling software is highly advantageous
• Good understanding of Document Control. Knowledge of ISO9001:2015 QAM system is highly advantageous
• The candidate must be willing to travel and work in marine and offshore environment.

Daniel Wilson | Reg No.: R24125247

Recruit Now Singapore Pte Ltd | EA Licence No.: 21C0845

Responsibilities:

• Assist Project Manager with project functions, including project management, site management, and risk control to achieve project goals.
• Support Project Manager in planning and coordinating construction works according to the master and detailed work programs.
• Guide junior Engineers in daily work execution.
• Prepare and submit project documents such as schedules, method statements, design plans, risk assessments, and reports.
• Supervise construction to ensure compliance with contract specifications, drawings, quality standards, and ESH practices.
• Coordinate and liaise with clients, authorities, consultants, subcontractors, and suppliers on all project matters.
• Facilitate site inspections, submit technical reports, and maintain records. Assist in verifying progress payments and contractor claims.
• Attend regular meetings with clients, consultants, and contractors to monitor project progress.
• Establish and maintain a document control system for design drawings and project documents.

Requirements:

• Bachelor’s degree in Civil Engineering recognized by the Professional Engineer Board.
• At least 3 years of working experience in construction and infrastructure industry (LTA, Roadwaorks, MRT Projects).

______________________________________________________

HOW TO APPLY :

Interested candidates, please submit your resume by clicking on “Quick Apply” or contact [email protected] for more details.

Please provide following information in the resume for immediate processing

1) Reasons for leaving current and/or last employment

2) Last drawn and/or current salary

3) Expected salary

4) Date of availability and/or Notice Period

All applications will be treated in strictest confidence and only shortlisted candidates will be notified

Wee Wai Dan

EA License No : 03C5391

EA Reg No : R22109628

Responsibilities:

• Work closely with design engineers and architects to create and document detailed test plans for verifying the SoC design.
• Establish and manage the infrastructure and environment for automated verification of the SoC's architecture, functionality, and performance.
• Develop reusable testbenches, test cases using constrained-random and directed methods, and verification modules for both block and system levels.
• Create a regression strategy, methodology, and scripting tools, ensuring comprehensive function coverage and addressing verification gaps before design releases and tape-out.
• Collaborate with design engineers to troubleshoot and resolve simulation issues.
• Provide support to test engineers during post-silicon validation.
• Mentor and guide team members and junior engineers, aiming to enhance verification efficiency.​

Requirements:

• Master in Electrical Engineering or equivalent with 8 years of relevant working experience/ PhD in Electrical Engineering or equivalent with 3 years working experience.
• Extensive understanding of UVM/OVM, Semiformal Verification, assertion-based verification, and hardware-software co-verification methodology.
• Skilled in Verilog, SystemVerilog, Python, Perl, TCL, Shell scripting, C/C++, SystemC, and assembly coding for industry-standard ISAs.
• Familiar with MIPI, AMBA (APB/AHB/AXI) bus protocols, RISC-V/ARM, or DSP cores.
• Experience in verifying designs at RTL and post-P&R gate levels.

__________________________________________________________

HOW TO APPLY :

Interested candidates, please submit your resume by clicking on “Quick Apply” or contact [email protected] for more details.

Please provide following information in the resume for immediate processing

1) Reasons for leaving current and/or last employment

2) Last drawn and/or current salary

3) Expected salary

4) Date of availability and/or Notice Period

All applications will be treated in strictest confidence and only shortlisted candidates will be notified

Wee Wai Dan

EA License No : 03C5391

EA Reg No : R22109628

Job Description:
As Frontend Central Product Integration Engineering (CPIE) team at Micron Technology, Inc., you will be responsible for leading new initiatives to deliver pioneering process capability, best-in-class bits per wafer (Yield) with the highest quality and fastest speed through innovation and collaboration with mutli-functional teams. Your primary focuses include but not limited to:

• Initiate new data solutions and methodologies to:
1) identify process, test, and design improvement opportunities;
2) modeling, monitoring and aiming for tool performance benchmarking;
3) Process equipment prognostics and process integration optimization;
4) Identity test optimization opportunities for high product grade yield improvement.
• Collaborate with site Process & Equipment Engineering, Manufacturing(MFG), Product Integration Engineering (PIE) and Data Science (DS) team to establish feasibility of new initiatives, demonstrate business values, and prototype solution mock-ups;
• Partner with Global Quality (GQ), Product Engineering (PE), Central PEE(CPEE), Smart Mfg Artificial Intelligent (SMAI), Technology Development (TD), and Suppliers to deliver end to end solutions, implement BKM development and deployment to production.

Collaboration

• Partner closely with multi-functional teams to ensure successful communication and collaboration for project implementation.
• Detail oriented with the ability to work independently
• Dependability and able to work effectively in multi-functional teams.
• Facilitate and lead activities in redefining and optimizing current system, methods, tool, skill to be Best In industry.
• Manage priorities and enhancements to improve business processes and existing systems that are global in nature.
• Willingness to work during non-standard hours when needed to provide support to engineering teams at any Micron site.
• Strong growth mindset and willing to continue to learn, unlearn, relearn.

Communication

• Effective communication skills in verbal/written.
• Self-motivated. Able to work independently with minimal supervision.
• Able to travel as required to support department and company objectives.

Requirement and Technical Competency:

• Experience in PIE, Process & Equipment Engineering and Data Science. Understanding of Process/Product Integration will be advantageous;
• In depth knowledge of processes, equipment and control system;
• Proficiency in data analytical tools such as Y3, JMP, Python to perform numerical experiment. Proficiency in Statistical/Machine Learning will be additional advantageous;
• Proven track record to make decisions, multi-task, and solve problems and address root causes.
• Exhibit critical thinking to find opportunities.
• PhD/Masters/Bachelors with relevant course of study and experience

• 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]

• 5 days, North, MNC
• $4000 - $4100, performance bonus
• New position, start immediately

Responsibilities:

• Oversee and manage VMware and other vCenter environments to ensure optimal performance and reliability.
• Configure and maintain Meraki switches and access points, as well as Fortigate firewalls, ensuring network security and efficiency.
• Administer Windows servers, including MS-SQL and IIS servers to support development projects and assist with creating queries and reports.
• Support and maintain Windows workstations and laptops, troubleshooting and resolving issues as needed.
• Implement and manage backup/recovery solutions, along with comprehensive disaster recovery plans to safeguard data and operations.
• Collaborate with HQ to align with corporate IT standards, including maintaining and updating ISO documentation as required.

Requirements:

• Possess a Diploma/Degree in Computer Engineering, Information technology, Computer Science or equivalent.
• Minimum 2 years of experience in IT infrastructure management
• Able to start within short notice is an advantage
• Strong knowledge of VMware and vCenter environments.
• Proficient in SQL and IIS server management.
• Hands-on experience with Windows servers and workstations.
• Familiar with Meraki and Fortigate products.
• Experience in office 365 installation and configuration.

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

• 5 days, North, MNC
• $4000 - $4100, performance bonus
• New position, start immediately

Responsibilities:

• Oversee and manage VMware and other vCenter environments to ensure optimal performance and reliability.
• Configure and maintain Meraki switches and access points, as well as Fortigate firewalls, ensuring network security and efficiency.
• Administer Windows servers, including MS-SQL and IIS servers to support development projects and assist with creating queries and reports.
• Support and maintain Windows workstations and laptops, troubleshooting and resolving issues as needed.
• Implement and manage backup/recovery solutions, along with comprehensive disaster recovery plans to safeguard data and operations.
• Collaborate with HQ to align with corporate IT standards, including maintaining and updating ISO documentation as required.

Requirements:

• Possess a Diploma/Degree in Computer Engineering, Information technology, Computer Science or equivalent.
• Minimum 1-2 years of experience in IT infrastructure management
• Able to start within short notice is an advantage
• Strong knowledge of VMware and vCenter environments.
• Proficient in SQL and IIS server management.
• Hands-on experience with Windows servers and workstations.
• Familiar with Meraki and Fortigate products.
• Experience in office 365 installation and configuration.

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

The Opportunity

• Adecco is partnering with a multinational corporation Semiconductor company to search for an Validation Test Engineer
• Focus: Validation Testing on SSD/HDD Product Issues
• Office location: Singapore
• Working hours: 5 days’ work (Monday-Friday) 8:30am -5:30pm
• This role is starting off as contract position

The Talent

• Degree in Computer/Electrical/Electronic Engineering.
• Basic working knowledge with Windows and/or Linux.
• Experience in the setup and/or debug of laptop/desktop/server systems would be an advantage.
• Knowledge in Python scripting and/or experience with basic signal/power measurement equipment
• Experience in using PCIe/NVMe bus analyzers and Analog/Mixed Signal oscilloscopes would be beneficial.
• Comfortable working in an ESD-protected lab environment.

MAIN FUNCTIONS

• Execute testing of SSD on server platforms to validate functionality.
• Perform debug and analysis of failures towards resolution of failures observed.
• Participate in setting up of test environment and servers in preparation for validation.
• Tabulate test results and generate report for continuous firmware health monitoring.

Next Step

• We could contact you in the soonest time if you directly send your resume to: [email protected]m
• Email Topic: Apply: Validation Test Engineer
• We regret to inform that only shortlisted candidates will be contacted

Ling Kai Hoe

EA Licence Number: 91C2918

Personnel Registration Number: R22106166

Summary:

• Basic up to 4.5k
• Performance bonus
• 5 days work week, 8-5pm
• Location: Pioneer
• MNC company
• Career Advancement
• Proficiency in CNC machines

Key Responsibilities:

• To repair & service CNC machines in the region
• To implement service programmes for customer service
• Machine Installation
• Documentation (Service report, Machine registration, filing and record)
• Other related adhoc duties

Key Requirements:

• Min Diploma in Electrical / Mechanical / Mechatronics Engineering
• Min 2 years of relevant experience in servicing CNC turning / milling machines
• Possess class 3 driving license

Interested applicants, please submit your updated resume in MS Words format by using the APPLY NOW BUTTON.

By submitting your personal data and/or resume, you give consent to the 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.

Please be notified that only shortlisted candidates will be notified.

Your recruiter for this job: Stella

WhatsApp me @ 8772 4117 for a prompt response to your enquiry!

Stella Aw Yong See Hui | R24121552

Recruit Now Singapore Pte Ltd | EA No: 21C0845

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the team

Relying on TikTok's global e-commerce scene, the team is committed to optimizing TikTok’s global e-commerce logistics fulfillment services through technologies such as machine learning, deep learning, and operational research optimization. Externally, it provides cheap, fast, high-quality logistics services that meet different needs for global consumers and merchants; internally, it builds an intelligent logistics system to save costs, save time, improve efficiency, and improve stability for the fulfillment of orders.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.

- Utilize e-commerce big data and deep learning models to predict end-to-end estimated time of arrival (ETA), and some logistics events such as failed delivery, delivered but not received to enhance the user logistics experience. Build logistics network knowledge graphs and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. Use NLP and LLM algorithms to handle address problems such as address verification and address suggestion.

- Utilize time series forecasting techniques to predict sales at different granularities and horizons, such as warehouse-level manpower forecasting, inventory-level demand forecasting etc. We need strong machine learning and deep learning skills to detect important factors and model the relationship between the future and history.

- Participate in the growth of e-commerce merchants/creators, responsible for the growth algorithm of e-commerce merchants/creators, including potential merchants/creators mining algorithm, tiering algorithm, out-reach algorithm, growth algorithm, etc. Work closely with e-commerce merchants/creators related operations and product teams to achieve the high-quality growth goal of e-commerce merchants/creators.

- Combined with massive e-commerce information, through data mining and machine learning, predict the performance of products in traffic/conversion, improve the efficiency of product operation strategy and pricing/subsidy strategy, and assist in optimizing traffic distribution, to satisfy the requirements of product growth, cost optimization and some other scenarios.

Qualifications

Minimum Qualifications

- Final year Ph.D or recent Ph.D graduates in Computer Science, engineering or quantitative field.

- Proficient in machine learning and statistics, familiar with the principles and model structures of common machine learning and deep learning algorithms for classification, regression, and clustering, with practical application experience.

- Proficient in programming languages such as Python/Java, possessing excellent coding abilities, and familiar with at least one common machine learning/deep learning framework (TensorFlow/PyTorch etc.).

Preferred Qualifications

- Demonstrates a spirit of exploration, outstanding data analysis capabilities, strong initiative, and excellent teamwork and communication skills.

- Bonus points for having published papers at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RecSys, or having participated in data mining/machine learning competitions.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected]

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the team

Relying on TikTok's global e-commerce scene, the team is committed to optimizing TikTok’s global e-commerce logistics fulfillment services through technologies such as machine learning, deep learning, and operational research optimization. Externally, it provides cheap, fast, high-quality logistics services that meet different needs for global consumers and merchants; internally, it builds an intelligent logistics system to save costs, save time, improve efficiency, and improve stability for the fulfillment of orders.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

-Responsible for MultiModal Content understanding of TikTok short videos, identifying various structured information related to e-commerce to meet the purchasing demands of different consumers.

-Responsible for applying technologies such as AIGC in the field of content commerce, empowering various aspects of e-commerce such as product creativity generation, generation and optimization of product materials, virtual try-on, e-commerce video generation and editing.

-Responsible for recognizing the basic attributes of products in the e-commerce scenario, improving the compliance and delivery efficiency of products, and enhancing the user's purchase experience.

-Responsible for exploring cutting-edge technologies such as computer vision, AIGC (Artificial Intelligence Generated Content), and multimodal machine learning in the field of content commerce.

Qualifications

Minimum Qualifications

- Final year Ph.D or recent Ph.D graduates in Computer Science, engineering or quantitative field.

- Have in-depth research in a certain field of MultiModal Machine Learning, Computer Vision, and NLP, including but not limited to:

a) image/video classification, detection, segmentation, action recognition, MultiModal Machine Learning pre-training, text classification, unsupervised and self-supervised learning, etc.

b) multimodal generation, such as text-to-image/video/3D generation and editing, and other related multimodal experiences, diffusion model, GAN, transformer for generation tasks.

- Familiar with the training and deployment of one or more frameworks such as PyTorch/TensorFlow//MXNet, and familiar with training acceleration methods such as mixed-precision training and distributed training.

Preferred Qualifications

- Familiar with the latest research and technological progress in model compression acceleration, including but not limited to model quantization, pruning, knowledge distillation, and inference frameworks such as TensorRT;

- Strong practical skills, priority given to those who have published papers in related competitions and top academic conferences.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected]

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The team use the most advanced AI technology to combat various risks/violations in TikTok's e-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency. We pursue the ultimate risk detection capability. The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas where we are constantly striving for improvement.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Responsible for identifying algorithms for risk/violation/low-quality issues in e-commerce scenarios such as products, shopping cart short videos, and live streaming with products.

- Responsible for mining and identifying algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators.

- Responsible for optimizing algorithms for large-scale brand libraries, products, and content deduplication/clustering.

- Responsible for data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain, aiming for ultimate effect optimization in the e-commerce domain.

- Responsible for exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.

Qualifications

Minimum Qualifications

- Final year Ph.D or recent Ph.D graduates in Computer Science, engineering or quantitative field.

- Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience.

- Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM.

- Excellent analytical and problem-solving skills, passionate about challenging problems.

- Good team spirit and strong communication skills.

Preferred Qualifications

- Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.

- Published papers in high-level computer science conferences (ACL, EMNLP, NIPS, AAAI, etc.) or have competition experience are preferred.

- Candidates who have practical experience in DALL-E, CLIP, GLIDE and other related projects are preferred.

- Candidates who have good performance in international competitions in related fields ( such as VQA, Image Captioning/Retrieval) are preferred.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected].

Roles & Responsibilities:

- Responsible for the design, development and commissioning support of

Pharmaceuticals DCS / PLC systems on site. Key technology will be Siemens. Any

exposure to Rockwell and Emerson DeltaV will be of advantage.

- Will participate in the development and implementation of Automation solutions in

line with S88 standards for the plant.

- Thorough understanding of Physical and Procedural Layer design, development and

qualification.

- Work with automation team to design system architecture, Design Specification,

Control Strategies, and library development.

- Strong understanding of CSV documentation for Pharma projects

- Supporting manufacturing operations for day today support for DeltaV system.

- Support on NC and CAPA and identification of root causes

- Continuous improvement of the system and support for Operations as required.

- Field commissioning of automation equipment’s.

- System administration and maintenance support.

- Computer system Validation and documentation support for automation systems.

- Interacting with Operations Team, Process Team, Equipment Vendors and Technology

providers.

Requirements:

· Minimum of 8-10 years’ experience in a similar role, ideally in the

Pharmaceutical industry.

· Experience in the Designing and commissioning of automation projects for

GMP manufacturing site.

· Through understanding of Batch S88 standards (CM, EM, Phases, Recipes,

Units etc)

· Understanding of Pharmaceutical or Biopharmaceutical process

· Understanding of automation hardware and networking technologies

· Siemens PCS7 or S7 with Batch exposure is required.

· Emerson DeltaV DCS Batch experience or Rockwell Pharma experience is

advantage

· Familiarity with SDLC and quality management processes in the pharma

· Ability to work well in a team environment.

· Able to manage multiple party coordination for automation information.

· Good communication and able to work remotely or onsite as required by

client.

Job Responsibilities:

• Support continuous improvement efforts in QMS.
• Support in root cause analysis and implementation of corrective/ preventive actions for process related concerns.
• Analyze and provide timely respond to customer complaints.
• Interface with Customer and Operations to ensure new product transfer to manufacturing are in accordance with approved requirements.
• Prepare Quality performance metrics and reports.

Requirements:

• Diploma in Mechanical Engineering, Quality, or equivalent.
• Minimum 2 years work experience in Quality Management System in manufacturing environment.
• Good knowledge of ISO 9001. Knowledge of API Q1 is preferred.
• Strong command of English language, both oral & writing.
• Knowledge of metal working industry is preferred.
• Knowledge of risk assessment principles and methods.
• Knowledge of SAP is preferred.
• Positive & proactive attitude.

Responsibilities:

• Provide highly visible customer support through the performance of on-site installation, as well as overseeing any necessary diagnoses, troubleshooting, service, and repair of complex equipment and systems
• Perform continual improvement programmes, parts' overhaul, preventive maintenance, modifications and repair works on equipment
• Serve as company liaison with customer on administrative and technical matters for assigned projects
• Coordinate logistics arrangements and with customer on equipment related matters.
• Respond to customers’ complaints, provides time to solutions to resolve customers’ issues
• Monitor the performance of the product, provide regular update report and feedback on customer’s service requests
• Report common complaints of customers to management in order to address the situation for future reference

Requirements:

• Degree in Electrical/Electronic Engineering or its equivalent
• At least 3 years of relevant experience with semiconductor equipment knowledge
• Strong communication and good interpersonal skills
• A meticulous, organized and resourceful team player
• A highly motivated individual who works independently with little supervision
• Experienced working in cleanroom environment
• Require to work or be on standby during after office hours/weekend/public holiday

We regret that only shortlisted candidates will be notified.

Major Responsibilities:

• Responsible for setting up / establishing the Electronic Batch Records
• Responsible for manufacturing process technical support and improvement initiatives for ongoing operations
• Support start-up and assist in plant equipment and facility validation and qualification activities
• Supports manufacturing activities during the technology transfer, qualification and validation batches associated with new product introductions to the site
• Supports operational efficiency goals for yield, product quality and other product and/or site KPI’s
• Contact and consultant for process/equipment troubleshooting and investigation activities
• Supports risk assessment activities providing relevant technical knowledge
• Provides support for process cleaning/changeover strategies
• Authors technical reports, batch records, SOP’s, investigations, protocols as required and ensures consistency and quality of the group’s documentation

Education/Experience:

• Min Degree in Chemical Engineering
• 5 years of experience (preferably), in the area of API Manufacturing (Technical Engineer) or Manufacturing, Science and Technology (MSAT)

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Alvin Lee Peck Keong

CEI No.: R1104781

Recruit Express Pte Ltd, EA License No.: 99C4599

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on a research project, funded by Singapore Ministry of Education (MOE), where you will be part of the research team to develop a scalable and comprehensive framework for formal verification of quantum programs. The framework consists of the following deliverables:
• Intermediate Language. We plan to develop an intermediate language to model quantum programs. The intermediate language would be complete to describe all the desired characteristics of quantum computing while at the same time simple enough to be understood by most programmers.
• Formal Verification Framework. We plan to develop a comprehensive framework to verify the correctness of quantum programs written in the proposed intermediate language.
• Mechanization. We plan to mechanize the formal framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL.
• Proof Automation. We plan to develop formal methods for automatic reasoning that can be materialized into commercial tools.

Key Responsibilities:

• Participate in and manage the research project with Principal Investigator (PI) and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
  1. develop an intermediate language to write quantum programs.
  2. develop a comprehensive framework to verify the correctness of quantum programs written in our intermediate language.
  3. mechanize the verification framework using state-of-the-art theorem provers such as Coq or Isabelle/HOL.
  4. develop formal methods for automatic reasoning that can be materialized into commercial tools.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements:

• Have relevant competence in the areas of formal methods (including theorem proving and model checking, especially theorem proving), quantum computing, and software analysis/verification.
• Have a degree in computer science, computer engineering, or related areas. Possessing a Master’s or PhD degree will be advantageous
• Knowledge of separation logic and quantum program analysis/verification will be advantageous.

Key Competencies:

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

Major Challenges:

As quantum computers are operated in extreme physical conditions and thus the cost per run is significantly high, it is desirable to verify the correctness of a quantum programs before the execution. However, the verification task of quantum programs is challenging due to the following reasons:

• Quantum programs (even written at high-level languages) are complicated to comprehend as it requires a good understanding of quantum mechanics and the relevant advanced mathematics.
• The quantum states are exponentially huge in size because the state of a classical bit is either 0 or 1 at any time, while the state of a quantum bit (qubit) can be in the superposition, where both states 0 and 1 can co-exist simultaneously. This induces the state explosion problem for brute-force-like methods.
• Quantum states are naturally probabilistic thus may yield different results on different runs, which is challenging for the testing and debugging methods.

What We Do

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Goldman Sachs Electronic Trading (GSET), is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. We’re open to talent in Hong Kong, Singapore, Melbourne, Sydney & Tokyo.

Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

Technology is at the heart of our multi-billion dollar business. Our engineers develop low latency, scalable, and resilient solutions which drive global equities sales and trading at Goldman Sachs.

Equities Engineers focus on designing, developing and maintaining the global infrastructure which underpins Equities sales and trading at Goldman Sachs. These engineers work across a variety of problem domains and software stacks to create leverage in our various Equities cash and derivatives business lines. These problem spaces include:

• High-throughput, low latency order management and electronic trading platform
• Client Connectivity of all clients to the various GS platform via FIX
• Exchange Connectivity of all the various Asia Exchanges using native exchange protocol for trading connectivity and market data connectivity
• Adaptable algorithmic trading platforms
• Smart Order Routing and Internalization Trading Platform
• Adaptive, robust trading controls
• Workflow management platforms
• Pricing, risk and booking systems

HOW YOU WILL FULFILL YOUR POTENTIAL

• Systems software
• Compilers
• User interfaces and modern webstacks
• Data, structured and unstructured
• Pricing, risk and analytics
• Test engineering
• Software controls and SDLC

SKILLS AND EXPERIENCE WE ARE LOOKING FOR

• Solid industry experience programming in Java, C++, C
• Clear understanding of algorithms and data structures
• Familiarity with core programming concepts and techniques (e.g. concurrency, memory management)
• Comfort with standard SDLC tools, e.g. version control systems, diff-ing tools
• Strong written and oral communication skills
• Enthusiastic, proactive and driven individual with high degree of attention to detail
• Experience with several of the following: -Low latency development -OMS development -Real-time systems -Large-scale, distributed systems -Operating systems design -Compilers -User interface technologies -Modern webstacks -Databases -Functional programming -Test engineering

Preferred Qualifications

• Bachelor’s degree / Master’s degree in Computer Science, Computer Engineering or related field
• Experience developing in a Linux or UNIX environment
• Experience in a hands-on front-office development role

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Duration: 1 to 1.5 months

Working Locations: Metropolis (Main) + Jurong island (Suraya), Bukom (Bus pickup availability for Jurong island/ Bukom)

Working Hours: Mon to Fri, office hours

Salary: Up to $2700

Job Description

• Provide basic IT support for internal users
• Responsible for maintenance of all mechanical and rotating equipment
• Provide documentation to ensure all equipment, technical records and drawings are updated to reflect the latest changes, proper and correct procedures are followed, configuration and software changes to mechanical equipment are documented, archived, and backed up for recovery.

Requirements:

• NITEC in Engineering or IT related discipline
• Flexible with roaming to multiple sites
• Candidates with both Engineering & IT experience (Technical Interview) required
• Knowledge of local regulatory requirements from Ministry of Manpower for workplace safety and equipment governance is an advantage.
• Experience in field work interfacing and stakeholder’s engagement.
• Excellent communication, analytical, problem-solving, and troubleshooting skills.
• Able to work in Team environment as well as standalone when need arises.

Interested candidates, please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile > https://go.persolkelly.com/job/apply/

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates collecting, using and disclosing my personal data for the purposes set out in the Privacy Policy which is available at www.persolkelly.com.sg I also acknowledge that I have read, understood, and agree to the said Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394

• Reg. R24124631 (Moh Cheng' En, Desean)

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The team use the most advanced AI technology to combat various risks/violations in TikTok's e-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency. We pursue the ultimate risk detection capability. The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas where we are constantly striving for improvement.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Responsible for using algorithms to mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios, and assist businesses in managing and controlling them.

- Responsible for using algorithms to identify events and behaviors that affect product experience and efficiency, and building data models to help create a favorable ecosystem and support business operations.

- Participate in building data for various entities such as e-commerce live streaming/video, products, merchants, and creators, building large-scale network/feature sequence models to support business scenarios such as content understanding, multimodal representation, community mining, and solve problems related to products, live streaming, and video management, and provide support for them.

- Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the TikTok e-commerce community.

- Explore and research cutting-edge technologies in machine learning/graph learning/sequence learning and related fields, implement these technologies in practical business scenarios, and support the production of scalable and optimised machine learning models.

Qualifications

Minimum Qualifications

- Final year Ph.D or recent Ph.D graduates in Computer Science, engineering or quantitative field.

- Solid coding skills, familiar with deep learning/graph neural network/machine learning frameworks such as PyTorch, TensorFlow, DGL, pyg, sklearn, etc.

- Familiar with one or more algorithms in machine learning/graph learning/sequence learning, such as graph modeling, timing signal modeling, node/subgraph classification, community mining, representation learning, self-supervised/semi-supervised learning, with a certain depth and breadth.

- Relevant industry experience with solid theoretical foundation of machine learning.

Preferred Qualifications

- Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.

- Published papers in high-level computer science conferences (ACL, EMNLP, NIPS, AAAI, etc.) or have competition experience are preferred.

- Familiar with the application of related algorithms in data mining, search recommendation, content understanding, and governance risk control preferred.

- Skilled in numpy and pandas for modeling experiments, familiar with big data tools such as Hive, Spark, Hadoop preferred.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected].

Working Location: Jurong
Working Days : 5 Days ( Mon- Fri)
Working Hours: 8am-5pm

Salary: $2600 - $2700

Job Description

• Desktop Technician will provide day to day local\remote desktop support, receive inbound calls, answer questions, troubleshoot and document steps performed to resolve challenges with hardware, software and application issues in a ticketing system.
• Facilitate customer resolution for calls and engage their supervisors and managers to ensure operational consistency across all shifts within the IT Support Center.
• Desktop Support Engineer provides Break Fix, fault diagnosis and resolution.
• Providing fault analysis to customer’s various core operating systems and platforms, as well be able to provide support and apply desktop fault resolution for the approved application suite.

Position Responsibilities and Functions

• Provide first/second level contact and problem resolution for customer issues.
• Work with Third Party Vendors to remediate complex AV issues as needed.
• Provide timely communication on issue status and resolution.
• Maintain ticket updates for all reported incidents.
• Install, upgrade, support and troubleshoot XP, Windows 7, Windows 8.1, Windows 10 and Microsoft Office 2010, Cisco Jabber, another authorized desktop application.
• Should have basic knowledge of Mac operating system, to support Apple pc users.
• Install, upgrade, support and troubleshoot for printers, computer hardware.
• Performs general preventative maintenance tasks on computers, laptops, printers.
• Performs remedial repairs on Desktops, laptops, printers and any other authorized peripheral equipment.
• Use diagnostic tools to troubleshoot problems associated with network connectivity, and workstation hardware/software.
• Broad experience of IT with basic understanding of Networks, Servers, Audio/Visual, Smart Devices and Telecoms.
• This position requires the ability to work in a project-based environment requiring flexibility and teamwork. Performs other duties as assigned.

Qualifications and Skills

• Bachelor Degree or equivalent in Computer Science or related field.
• CompTIA A+, Microsoft Certified Professional (MCP) or better.
• 1-2 years’ experience in Windows Desktop support.
• Windows 7-10, Microsoft Active Directory, utilization of GPOs, MS Office 365, PC hardware installation and troubleshooting, Enterprise anti-virus solutions, Helpdesk ticketing systems.
• Mobile device management including IOS and Android devices, Enterprise encryption solutions, Windows PC/laptop management via Active Directory.
• Proven analytical, troubleshooting and problem solving skills.
• Willing to work off-hours and weekends when required for projects or emergency support.

✅The Supreme HR Advisory Pte Ltd EA No: 14c7279

✅SAMUEL SIAW Reg No: R24124745

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

Duties of E&I Engineer:

• Review project specs to ensure equipment meets contract requirements
• Prepare and approve instrument and electrical deliverables (e.g. wiring diagrams, lists, data sheets)
• Create material requests and evaluate bids for electrical and instrument equipment
• Develop engineering standards and procedures for design
• Monitor project costs and schedules
• Attend technical meetings and address client feedback
• Support plant start-up and on-site troubleshooting
• Provide technical support and estimates to the sales team
• Advise engineers and Project Managers
• Follow company health and safety guidelines

Requirements

• Minimum Degree in Engineering/ Electrical or equivalent
• Minimum 5 years of relevant experience
• Familiar with key engineering concepts and practices
• Strong organizational and multi-tasking skills
• Excellent problem-solving and analytical abilities
• Proficient in Microsoft Office, Microsoft Project, and AutoCAD
• Strong verbal and written communication skills
• Able to work independently with attention to detail
• Good teamwork skills
• Knowledge of hazard area classification
• Fluent in English (speaking and writing)

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: R21101676

EA Personnel Name: Ng Zhi Qing Alethea

Job description:

Customer support:

• To arrange service visiting, install, repair, troubleshooting, and relocation on site.

• To set up and dismantle equipment for demonstrations.

• To conduct equipment familiarization training for users.

• To answer service enquiries.

• To attend user’s meetings.

• To install and commission new equipment at customer’s sites.

Service administration

• To prepare service quotations, contracts, report, and invoice.

• To arrange spare parts from suppliers.

• To send / deliver repair item and spare parts.

• To collect equipment for in-house repairs.

• To deliver new equipment to customers.

• To attack and pursue outstanding debts.

• To send faulty parts to vendors for checking and testing.

• To furnish technical information and quality report to Principal.

Job requirements:

• Min. Diploma in Engineering/ Science (Mechanical / Biomedical / Electrical)

• Min. 1 years of experience in going clients’ sites to perform servicing

• Experience in medical device servicing is advantageous

Apply now by sending your resume to [email protected]

We regret to inform that only shortlisted candidates will be notified

Alex Goh Hock Leong | CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Sciences) | 99C4599