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

TikTok's Recommendation Architecture Team is responsible for real-time computing direction, handling the design and development of real-time computing systems for TikTok videos, live streams, e-commerce, and a billion-user product recommendation system. Their main focus is ensuring system stability and high availability. They abstract general real-time computing systems, build a unified recommendation feature middleware, and implement a flexible and scalable high-performance storage system and computing model. This enables advanced real-time data systems for deduplication, counting, feature services, and other recommendation-related business needs.

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

- Design and implement real-time (streaming computing) data systems for large-scale recommendation systems.

- Create flexible, scalable, stable, and high-performance storage systems and computing models.

- Troubleshoot production system failures, design and implement necessary mechanisms and tools to ensure overall stability of the production systems

- Construct industry-leading streaming computing frameworks and other distributed systems to provide reliable infrastructure for massive data and large-scale business systems

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Requirements

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline

- Strong coding and troubleshooting skills; Proficient in programming languages like Java, C++, Scala, Python.

- Deep understanding of streaming computing systems, with formal production experience in developing TB-level Flink real-time computing systems. Proficient in modules like FlinkDataStream, FlinkSQL, FlinkCheckpoint, FlinkState, and preferably with experience in reading Flink source code.

- Experience in data lake development is preferred. Familiar with at least one data lake technology such as Hudi, Iceberg, DeltaLake, and preferably with experience in reading their source code.

- Willingness to tackle problems without clear answers, with a strong passion for learning new technologies.

- Familiarity with other big data systems is preferred, including YARN, K8S, Spark, SparkSQL, Kudu, and others.

- Experience in storage systems such as Hbase, Cassandra, RocksDB.

Preferred Qualifications

- Experience in handling PB-level data is a plus.

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]

• Marine Service Engineer
• Office location : Boon Lay Way
• Working Location: On board ship
• Working days: 5 days (Mon- Friday)
• Working hours : 8am - 5pm
• Salary : $2,000-$2,800 basic + OT + Allowances (Gross Salary $3,000 - $4,000)

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Description

• Conduct periodic inspections, repair, service and maintenance of marine equipment to ensure reliable
  operation.
• Collaborate with clients and superintendents to deliver quality services efficiently.
• Generate reports and present findings to relevant personnel.
• Provide remote troubleshooting support through emails, ensuring customer issues are resolved promptly to maintain high satisfaction levels.
  
  Requirements:
• Diploma in Engineering or equivalent (Electrical/Electronics/Mechanical/Mechatronics).

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Additional job description

Work with Security Sales and Google Cloud teams to identify and qualify business opportunities, understand customer technical and compliance objections, and develop strategies to resolve technical blockers.

Qualifications

Job responsibilities

• Partner closely with Small- and Medium business (SMB) and Field Sales Engineering, Inside Sales, and Sales Development teams to identify and technically qualify opportunities.
• Drive technical aspects of solutions, including customer meetings, product demonstrations, and executive briefings.
• Leverage in-depth knowledge of Google Cloud Security products to build integrations, proofs-of-concept, and compelling demos for customers and partners.
• Effectively convey the value proposition of Google Cloud Security solutions through presentations, product demonstrations, white papers, trial management, and response documents.
• Travel to customer sites, conferences, and relevant events to represent the technical capabilities of Google Cloud Security as required.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 6 years of experience in a technical sales engineering role in security or cloud native environments.
• Experience in cybersecurity technical solutions: SIEM/SOAR (EDR, XDR), Threat Intelligence (threat detection, malware intelligence, attack surface management), Cloud Security (CSPM, CWPP, CNAPP, or identity and access management systems).
• Experience in selling security consulting services.

Preferred qualifications

• Master's degree in Computer Science, Engineering, or Mathematics.
• Cloud or Security industry certifications.
• Experience in implementing security solutions for enterprises (e.g., SIEM/SOAR, threat detection and hunting, malware intelligence, cloud security posture management, or identity and access management systems).
• Knowledge of product and solution market trends in the cybersecurity industry.
• Understanding of solution architecture within web and mobile environments and of web/internet related technologies, architecture across SAAS, PAAS and IAAS and cloud productivity suites.
• Familiarity with architecture and operational aspects of large scale distributed systems. Familiarity with the popular technologies in the machine learning/big data ecosystem.

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600, after 3 months confirmation $2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

• Handle customer inquiries and technical issues via phone, email, chat, or ticketing system to provide quick and polite assistance.
• Solve technical problems reported by customers or users using troubleshooting skills for software, hardware, or network issues.
• Work with development and product teams to resolve complex issues and keep stakeholders updated.
• Meet SLAs for response times and resolutions, ensuring requests are handled on time.

Requirements:

• Diploma in Cyber Security or equivalent.
• At least 2 years of relevant working experience.
• Good knowledge of computer systems, networks, troubleshooting, and key protocols like TCP/IP and DNS.
• Comfortable to work 24x7 standby shifts.

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

• Marine Service Engineer
• Office location : Boon Lay Way
• Working Location: On board ship
• Working days: 5 days (Mon- Friday)
• Working hours : 8am - 5pm
• Salary : $2,000-$2,800 basic + OT + Allowances (Gross Salary $3,000 - $4,000)

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Description

• Conduct periodic inspections, repair, service and maintenance of marine equipment to ensure reliable
  operation.
• Collaborate with clients and superintendents to deliver quality services efficiently.
• Generate reports and present findings to relevant personnel.
• Provide remote troubleshooting support through emails, ensuring customer issues are resolved promptly to maintain high satisfaction levels.
  
  Requirements:
• Diploma in Engineering or equivalent (Electrical/Electronics/Mechanical/Mechatronics).

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

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

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

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

Join us.

About the Team

The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud native resource scheduling system which intelligently orchestrates different tasks and jobs with minimised costs of every experiment and maximised resource utilisation, rich modelling tools including customised machine learning tasks and web IDE, and multi-framework high performance model inference services.

In 2021, through VolcanoEngine, we released this machine learning infrastructure to the public, to provide more enterprises with reduced costs of computation power, lower barriers to machine learning engineering and deeper developments in AI capabilities.

Responsibilities

Responsible for Ark Large Model Platform development on Volcano Engine, researching systematic solutions on large model solution implementations and applications in various industries, striving to reduce the IT cost of large model applications, meeting the users' ever-growing demand for intelligent interaction and improving the lifestyle and communications of users in the future world.

- Manage and oversee the stability of both control and data aspects of large-scale model systems through effective DevOps practices.

- Develop and enhance observability systems for monitoring the stability of large model systems, ensuring high reliability and performance.

- Handle super large-scale cluster management and ensure efficient operation and maintenance of large model systems.

Qualifications

Minimum Qualifications

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.

- Minimum of 5 years of R&D experience in the fields of cloud computing or large-scale model systems.

- Proficiency in cloud-native technologies and understanding of the relevant technology stack.

- Expertise in one of the following programming languages: Golang, Python, or Java, with the ability to use it proficiently in a professional setting.

- Familiarity with cloud-native technologies for log collection, monitoring, and alerting.

Preferred Qualifications:

- Prior experience in the construction and maintenance of stability systems for large-scale infrastructures.

- Experience in operating and maintaining large-scale systems.

- Experience with infrastructure as code, particularly Terraform, is highly desirable.

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.

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

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

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

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

Join us.

About the Team

The Applied Machine Learning (AML) team combines system engineering and the art of machine learning to develop and run massively distributed recommendation system around the world.

On the team, you'll have the opportunity to sharpen your expertise in coding, performance analysis and large system operation, and get heavily involved in the process of hardware/capacity decision-making.

DevOps ensures that the very centric machine learning services at TikTok have the highest level of availability, as well as creating highly automated systems and pipelines.

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 ByteDance.

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 ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Qualifications

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline

- Experience programming in at least one of the following languages: Python or C/C++

- Expertise in DevOps technologies like Ansible, Terraform, Salt, Bash Scripting, etc.

- Experience in building solutions with AWS, Google, Azures, AliCloud or other cloud services.

- Familiar with Unix/Linux operating systems.

Preferred Qualifications

- Ability to thrive in a fast-paced environment.

- Strong understanding of code optimizing and routine tasks automation.

- Proficiency in at least one machine learning framework: TensorFlow, PyTorch, MXNet or PaddlePaddle.

- Solid background of algorithms and data structures.

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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://jobs.bytedance.com/en/legal/privacy.

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

Our client is a leading global company in semiconductor and FPD production equipment.

Role: Assistant Process Engineer

Duration: 1 year (extendable and convertible)

Working Location: Woodlands (Client Site)

Working Hours: Monday – Friday @ 9am – 6pm

Salary: Up to $2.6k + bonus upon completion

Responsibilities:

- Process checks of machines.

- Day-to-day line support execution for data collection, wafers’ preparation and measurements.

- Recipe creation, troubleshooting and data analysis.

- Monitor and maintenance of process’ stability.

- Reporting and highlighting of any escalation of tools’ issues to the process team and work closely with them to resolve tools’ performance issues.

- Liaising with customers and internal team on daily updates on the process’ status.

- Other duties as assigned.

Requirements:

- Diploma in Electrical/Electronic/Mechanical/Mechatronics Engineering or its equivalent

- A meticulous, organized and resourceful team player.

- A highly motivated individual who works independently with little supervision.

- Work in cleanroom environment.

- Required to work after office hours or during weekend/public holiday.

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

Interested candidate, 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/10135

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)

• Overall in-charge for PMIC, Mixed Signal & RF IP Test characterization, Test code development and Test Platform Enablement.
• Liaise closely with test engineering team and production support team to drive debug activities and data correlation with ATE.
• Deliver detailed status reports at each phase, test limit (guard band) generation and summary reports.

Requirements:

• Degree in Electronics/Electrical Engineering or equivalent.
• At least 5 years of characterizing mixed signal IP & RF experience with lab equipment such as Spectrum Analyzer, Digitizers, High Speed Serial Data analyzers, etc.
• Proficient in Embedded C/C++, LabVIEW, FPGA development.

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

• Handle customer inquiries and technical issues via phone, email, chat, or ticketing system to provide quick and polite assistance.
• Solve technical problems reported by customers or users using troubleshooting skills for software, hardware, or network issues.
• Work with development and product teams to resolve complex issues and keep stakeholders updated.
• Meet SLAs for response times and resolutions, ensuring requests are handled on time.

Requirements:

• Diploma in Cyber Security or equivalent.
• At least 2 years of relevant working experience.
• Good knowledge of computer systems, networks, troubleshooting, and key protocols like TCP/IP and DNS.
• Comfortable to work 24x7 standby shifts.

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

• Perform end user IT Support
• Perform troubleshooting for client platform related problems
• Support Windows OS, office software, and other Desktop Related Software & Hardware Respond promptly to incident,
• investigate & provide temporary &/or permanent resolution of incidents escalated
• Liaise with support vendors for maintenance, support or issues resolution
• Monitor the agreed service level, document & maintain the configuration of the systems Involve in client platform implementation/upgrade project
• Any ad-hoc duties assigned / required.

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are seeking a highly motivated and detail-oriented Capacity Planning/Automation Engineer to support our client’s Data Center team. This role will focus on ensuring the availability of sufficient materials for Hosting and Network Services, as well as developing automation solutions to streamline reporting processes. The ideal candidate will have a strong background in capacity planning, data analysis, and automation development.

Key Responsibilities:

Capacity Planning:

• Collaborate with vendors to forecast and ensure adequate supply of materials to support Hosting and Network Services operations.
• Monitor inventory levels, assess future needs, and mitigate risks of material shortages.
• Provide data-driven insights to improve forecasting accuracy and efficiency.

Automation Development:

• Design and implement automated solutions to enhance reporting efficiency and accuracy.
• Develop and maintain tools for generating critical reports, such as:
• Work Queue Status Reports
• Capacity Reports
• Identify opportunities to optimize manual workflows through automation and propose actionable solutions.

Reporting and Analytics:

• Generate regular and ad hoc reports to support operational decision-making.
• Analyze trends and metrics to improve operational performance and capacity planning processes.

Collaboration:

• Work closely with the Hiring Manager and cross-functional teams to align capacity planning with business goals.
• Partner with vendors, Hosting, and Network Services teams to ensure seamless operations and proactive planning.

Qualifications:

• At least 1-2 years of proven experience in capacity planning, inventory management, or a similar role.
• Experience and knowledge with IT infrastructure and data center operations
• Experience in automation / scripting (e.g., Python, PowerShell, VBA, or other tools).
• Proficiency in data analysis tools and reporting platforms will be a plus.
• Excellent analytical, problem-solving, and communication skills.
• Ability to manage multiple priorities in a fast-paced environment.

▪ Work closely with the project related teams to ensure timely delivery of the contracted services.
▪ To assist in coordination and logistics management of:
o Staff security clearance matters
o Client device delivery
o Client device staging and image distribution
o Client device deployment & OS upgrade scheduling
o Client device acceptance
o Submission of Declaration Form & billing (if any)
o Support Project Manager on administrative matters (eg. Purchase etc.)
▪ Track and compile project report regularly.
▪ Update assets records of client devices handled by project team.
▪ Work with project team in ensuring that the client devices’ inventory records are updated & accurate
▪ Work with project team to handover the client devices for O&S
▪ Monitor, track & review the Project migration output and key project progress milestone.

Senior Project Engineer (Demolition Works)

5.5 days
Mon-Fri: 9am-530pm || Sat: 9am-12pm
$3800-$5000
Pioneer (Transport Provided from Joo Koon MRT)

Job Responsibilities:

• Supervise new erections, additions, and alterations (A&A) to existing buildings, including earth retaining and stabilizing systems, as well as specialist designs for demolition works.
• Plan and implement the project, ensuring all construction activities on-site align with the master and detailed work programs.
• Work independently and as an integral member of the Site Management team.
• Prepare, plan, and submit project-related documents such as schedules, method statements, design plans, risk assessments, monthly reports, etc.
• Supervise the execution of construction works to ensure compliance with contract specifications, construction drawings, the company’s quality standards, Environmental, Safety & Health (ESH) practices, and other contract documents.
• Coordinate and liaise with the client’s representatives, relevant authorities, consultants, subcontractors, suppliers, etc., to address both technical and non-technical issues and document resolutions.
• Plan and coordinate site works while resolving drawing details and discrepancies.
• Identify potential and existing problems impacting the work schedule, offering solutions to the relevant team/department.
• Liaise with clients or consultants for site inspections and technical report submissions, ensuring all necessary records are maintained on-site.
• Assist the Contracts Department (QS) in verifying progress payments and claims from contractors.
• Attend regular meetings with clients’ representatives, consultants, and contractors to ensure project progress is on schedule.
• Establish and maintain an effective document control system, conducting reviews of detailed design drawings, project documents, and specifications.

Job Requirements:

• A minimum of a Degree in Civil Engineering, Architecture, or an equivalent field.
• At least 10 years of project or site management experience, particularly in Demolition projects.
• Ability to lead site management activities.
• Familiarity with wire saw cutter and waterjet cutter methods for demolition is a must

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Senior Software Engineer

Working Location:Tai Seng
Working Days:5days (office hours)
Salary Range:$6,500 – $8,000

Job Scope:

Software Development

• Design, Develop and Maintain device drivers for Windows Operating Systems
• Undertake WHQL testing and certification of drivers and device frameworks.
• Design, Develop and Maintain User Libraries and DLLs.
• Participate in all phases of SDLC and prepare corresponding documentation
• Undertake porting and maintenance of existing drivers to new frameworks and OS’s
• Resolve defects reported by internal and external customers
• Collaborate with USB host & device firmware development teams.

Job Requirement:

• Degree/Master’s in computer science/Engineering or related field.
• 5 years or above experience in the area of device drivers development, preferably USB
• In-depth understanding of WDM and KMDF frameworks, multi-threading and DLLs
• Excellent C Programming Skills.
• Professional attitude to work and meticulous in coding and testing
• Must have participated and experienced in SQA processes.

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Project Overview

We are seeking a Research Engineer to systematically organize knowledge for a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on a cutting-edge, interdisciplinary project that aims to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

An important goal of the project is to develop a rich ontology of activities that can be performed by human-AI teams. Like categorizing the plants and animals on a little-explored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge graphs that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into multi-dimensional taxonomies that range from very general types of activities to very specific ones.

These knowledge graphs will then be used to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.\

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Charles Fine, Armando Solar-Lezama, Jinhua Zhao, and Abdullah Almaatouq from MIT; Prof. Marcelo Ang from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Responsibilities

• Developing descriptions of current or potential activities and processes based on various sources such as: interviews, field studies, literature reviews, and generative AI systems (such as ChatGPT).
• Making editorial decisions about what content from these sources to include in the knowledge graphs and how to present and organize this knowledge clearly.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.

Requirements

- Bachelor’s or Master’s degree.

- Excellent communication and collaboration skills.

-Ability to systematically organize knowledge in structured ways that are logical, comprehensive, understandable, and conceptually elegant.

-Skilled in software development, good writing ability, statistical analysis, and social science methodologies such as experimental design or ethnographic observation.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

Responsibilities

· Responsible for installation, commissioning, maintenance, and repair of current installed base of XRD & XRF for APAC.

· Troubleshoot, diagnose customer problems, and coordinates appropriate corrective action directly.

· Conform always to Malvern Panalytical and customer’s safety, cleanliness, and working protocol policies to maintain a safe and clean work environment.

· Ensure that guidelines and standards of work expected by Malvern Panalytical are understood and met.

· Carry out preventative maintenance activities to installed base as per factory guidelines.

· Provide Service Support and basic training after installation.

· General Service administration activities and report submission.

· Responsible for proper spare part handling per internal procedures.

Requirements

· Diploma Electrical Engineering & Mechanical Engineering, Physics, or related education. Knowledge of Chemical Engineering, Chemistry, Chemical, Electronics, Mechanics preferred.

· 2~3 of experience in maintaining analytical instruments or semiconductor equipment is preferred.

· Able to travel both domestically and internationally on short notice.

To find out more about this opportunity, please contact Lionel Liew at [email protected].

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lionel Liew | Registration No: R1330693

Our client provides solutions from industries like pharmaceuticals, medical devices, automotive, electrical, industrial, and consumer goods.

• Assemble, troubleshoot, and install stations, ensuring correct pre-alignment and machine performance with support from the Manufacturing Manager.
• Deliver technical training to customers on hardware, pneumatics, setup, and maintenance processes.
• Assist with installations at customer sites and create project documentation.
• Collaborate with Project Engineers to meet deadlines, budgets, and share technical challenges.

Requirements:

• Nitec in Mechanical/Mechatronics engineering
• At least 3 years of experience in the automation or machine building industry.
• Familiar with project documentation and preparing manufacturing documents.

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

• Supervise construction progress, manage work schedules, coordinate with engineers and consultants (QPS) on technical matters, and liaise with subcontractors for site activities
• Address technical issues, guide supervisors, ensure schedule adherence, maintain quality standards, and resolve problems through site inspections
• Prepare reports and method statements, manage workers for site safety and cleanliness, and supervise site activities closely

Requirements:

• Degree in Civil Engineering or equivalent
• At least 2 years experience in MRT/LTA underground project with diaphragm wall and bored-piling works.

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: R1326740

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

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce.

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

- Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok.

- Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.

- Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.

- Design and build supporting/debugging tools as needed.

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

Minimum Qualifications

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline

- Strong programming and problem-solving ability.

- Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.

- Experience in Deep Learning Tools such as tensorflow/pytorch.

- Experience with at least one programming language like C++/Python or equivalent.

Preferred Qualifications

- Experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.

- Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.

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 TikTok E-commerce Recommendation and Marketing Algorithm team is responsible for algorithm and big data work on e-commerce innovation projects. Leveraging on our products, the team helps users discover and acquire great products, enriching their lives. In this team, we not only use recommendation and search algorithms to help users find items they are interested in but also employ risk control algorithms and intelligent platform governance algorithms to detect violations, ensuring a secure shopping experience. We build intelligent customer service technologies and large-scale product knowledge graphs to improve the efficiency of various transaction processes. Furthermore, we develop logistics and operations research algorithms to enhance supply chain efficiency, and we apply artificial intelligence to help merchants improve their operational capabilities. Our mission: To make high-quality products easily accessible, enabling everyone to enjoy a better life.

Responsibilities

- Participate in optimizing TikTok e-commerce growth and marketing algorithms, including core capabilities such as user value modelling, personalized messaging, recommendations, and intelligent marketing.

- Establish a user lifecycle data and value system to address core pain points and business challenges related to TikTok Mall user growth.

- Contribute to the implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails, recommendation handling, etc., to increase e-commerce DAU and penetration rates.

- Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations.

- Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive e-commerce GMV growth.

Qualifications

Minimum Qualifications

- Bachelor's degree or higher in Computer Science, Computer Engineering, Mathematics or related technical discipline.

- Experience in C++ and Python; at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).

- Strong foundation in algorithms and data structures, with excellent coding skills.

- Strong learning ability, curiosity, and good communication and teamwork skills.

- At least 3 years of relevant experience in user growth or intelligent marketing.

Preferred Qualifications

- Candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/Machine Learning competitions

- Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization is a plus.

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.

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

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

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

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

Join us.

About the Team

The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud native resource scheduling system which intelligently orchestrates different tasks and jobs with minimised costs of every experiment and maximised resource utilisation, rich modelling tools including customised machine learning tasks and web IDE, and multi-framework high performance model inference services.

In 2021, through VolcanoEngine, we released this machine learning infrastructure to the public, to provide more enterprises with reduced costs of computation power, lower barriers to machine learning engineering and deeper developments in AI capabilities.

Responsibilities

Responsible for Ark Large Model Platform development on Volcano Engine, researching systematic solutions on large model solution implementations and applications in various industries, striving to reduce the IT cost of large model applications, meeting the users' ever-growing demand for intelligent interaction and improving the lifestyle and communications of users in the future world.

- Maintain a large-scale AI cluster and develop state-of-the-art machine learning platforms to support a diverse group of stakeholders.

- Tackle extremely challenging tasks which include, but are not limited to, delivering highly efficient training and inference for large language models, managing extremely effective distributed training jobs across clusters with over 10,000 nodes and GPU chips, and constructing highly reliable ML systems with unparalleled scalability.

- The work encompasses various aspects of LLMOps (Large Language Model Operations), such as resource scheduling, task orchestration, model training, model inference, model management, dataset management, and workflow orchestration.

- Investigate cutting-edge technologies related to large language models, AI, and machine learning at large, such as state-of-the-art distributed training systems with heterogeneous hardware, GPU utilization optimization, and the latest in hardware architecture.

- Employ a variety of technological and mathematical analyses to enhance cluster efficiency and performance.

Qualifications

Minimum Qualifications

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions with at least 3 years of R&D experience in the fields of cloud computing or large-scale model systems.

- Experience in Golang/C++/Cuda development with a solid understanding of Linux systems and popular cloud platforms such as Volcano Engine Cloud, AWS, and Azure Cloud.

- Profound knowledge of cloud-native orchestration technologies like Kubernetes, coupled with experience in large-scale cluster maintenance, job scheduling optimization, and cluster efficiency enhancement.

- A strong grasp on various foundational areas of computer science, including computer networking, the Linux file system, object storage services, and SQL as well as NoSQL databases.

- Self-motivated, thirst for innovation, collaborative working aptitude, and consistently uphold high standards in coding and documentation quality.

Preferred Qualifications:

- Experience in developing ML platforms or MLOps platforms. Experience in distributed machine learning model training, ML model fine-tuning, and deployment.

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.

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

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

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

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

Join us.

About the Team

The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud native resource scheduling system which intelligently orchestrates different tasks and jobs with minimised costs of every experiment and maximised resource utilisation, rich modelling tools including customised machine learning tasks and web IDE, and multi-framework high performance model inference services.

In 2021, through VolcanoEngine, we released this machine learning infrastructure to the public, to provide more enterprises with reduced costs of computation power, lower barriers to machine learning engineering and deeper developments in AI capabilities.

Responsibilities

Responsible for Ark Large Model Platform development on Volcano Engine, researching systematic solutions on large model solution implementations and applications in various industries, striving to reduce the IT cost of large model applications, meeting the users' ever-growing demand for intelligent interaction and improving the lifestyle and communications of users in the future world.

- Manage and oversee the stability of both control and data aspects of large-scale model systems through effective DevOps practices.

- Develop and enhance observability systems for monitoring the stability of large model systems, ensuring high reliability and performance.

- Handle super large-scale cluster management and ensure efficient operation and maintenance of large model systems.

Qualifications

Minimum Qualifications

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions with R&D experience in the fields of cloud computing or large-scale model systems.

- Proficiency in cloud-native technologies and understanding of the relevant technology stack.

- Expertise in one of the following programming languages: Golang, Python, or Java, with the ability to use it proficiently in a professional setting.

- Familiarity with cloud-native technologies for log collection, monitoring, and alerting.

Preferred Qualifications:

- Prior experience in the construction and maintenance of stability systems for large-scale infrastructures.

- Experience in operating and maintaining large-scale systems.

- Experience with infrastructure as code, particularly Terraform, is highly desirable.

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.

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

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

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

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

Join us.

About The Team

The Applied Machine Learning (AML) team is seeking a Machine Learning Platform Engineer to develop and maintain our machine learning platform. The platform supports deep learning models for code development, testing, training scheduling, model deployment, and other core business functions. The team oversees the company's critical machine learning platform and serves as a foundation for recommended advertising and search. Here, you can work on recommended systems and distributed training of large-scale deep learning models.

We welcome candidates interested in machine learning platform engineering and with excellent engineering capabilities to join our team. If you love challenges and want to develop in the innovation field, please submit your application as soon as possible.

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 ByteDance.

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 ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

What you'll do

- Design, develop, and maintain core functions of the machine learning platform, including data processing, feature engineering, model training, and model deployment.

- Build efficient, scalable data processing and computing processes to ensure platform stability and performance.

- Collaborate with data scientists and machine learning engineers to understand their requirements and provide tool and technical support.

- Work closely with system administrators and software engineers to ensure smooth platform integration with other systems.

- Responsible for managing and monitoring the operation of the machine learning platform and troubleshooting any platform-related issues.

- Continuously track and evaluate emerging technologies and tools and provide suggestions for platform improvements and development.

Qualifications

Minimum Qualifications

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline

- Possess solid software engineering skills and be proficient in developing using common programming languages (such as Python, Java, or C++).

- In-depth understanding of distributed computing and principles and technologies of large-scale data processing, familiar with related open source tools and frameworks (such as Hadoop, Spark, etc.).

- Demonstrate understanding of cloud computing and containerization technologies such as AWS and Docker.

- Enthusiastic about learning new technologies and solving complex problems, passionate about engineering challenges. Strong analytical and problem-solving skills, ability to quickly understand and solve engineering problems.

Preferred Qualifications

- A preference for candidates with knowledge and experience in machine learning and deep learning, but it is not required. We value candidates' engineering capabilities and overall quality more.

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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://jobs.bytedance.com/en/legal/privacy.

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