Total 13,386 job vacancies in Singapore

About the Role:

We are looking for a Product Specialist to join our growing healthcare team. This role will require you to work in Singapore and JB, Malaysia.

Your role will focus on identify new opportunities, building relationships with healthcare professionals, promoting our products and services, and growing our customer base mainly in JB, Malaysia.

Key Responsibilities:

• Identify new business opportunities and manage sales leads.
• Build and maintain relationships with healthcare providers.
• Drive sales and business growth mainly in JB Malaysia.
• Present and demonstrate our products to potential clients.
• Travel between JB Malaysia and Singapore.

Requirements:

• Diploma or Degree in Business, Marketing, Life Sciences, Healthcare, or related field.
• Minimum 2 years or more experience in healthcare or medical sales.
• Background in Occupational Therapy is a plus.
• Strong communication and negotiation skills.
• Willingness to travel between Malaysia and Singapore.
• Goal-oriented and able to work independently.

What We Offer:

• Competitive salary and commission.
• Flexible working between Malaysia and Singapore.
• Career growth opportunities.
• Supportive and dynamic team.

This pivotal role will provide you with the opportunity to drive product innovation and develop a robust product strategy that aligns with our mission to deliver exceptional solutions to our clients. You will collaborate closely with cross-functional teams, leveraging your expertise in product management to spearhead initiatives that cater to our diverse customer base.

Key Responsibilities

1. Product Strategy & Roadmap
3. Define and maintain the product roadmap for defence electronics (e.g. mission computers, platform comms electronics, sensors, C2 electronics).
4. Align product direction with defence capability requirements, platform roadmaps, and long-term support strategies.
5. Develop products with unique selling points while addressing emerging technology trends (AI, open architectures, modular electronics) relevant to defence platforms.
6. Market Research and Opportunity Identification
8. Define target customer segments and map ecosystems to establish strong market links.
9. Conduct thorough analysis of total addressable markets (TAM) and segment-specific growth projections (CAGR).
10. Report on relevant market trends and competitive landscapes across various sectors.
11. Deliver clear financial projections encompassing revenue, costs, and expected profit margins over a three-year horizon.
12. Go-to-Market (GTM) Strategy Development
14. Design strategies to effectively introduce products to target markets, employing diverse marketing channels and sales strategies.
15. Cultivate strategic channel-based partnerships and relationships to magnify market reach.
16. Identify and monitor emerging electronics technologies relevant to defence platforms (e.g. AI accelerators, open‑architecture electronics, advanced sensors, secure processors).
17. Establish early technical engagement with technology providers prior to formal programme insertion.
18. Channel Strategy Development
20. Define the go-to-market strategy for channel partners.
21. Identify target markets and partner profiles (distributors, resellers, system integrators).
22. Align channel strategy with overall product roadmap and business objectives and defence capabilities needs.
23. Product Development Lifecycle Management
25. Collaborate with development teams to articulate comprehensive product roadmaps that align with strategic objectives.
26. Evaluate technology readiness levels (TRL) and identify areas requiring additional R&D investment.
27. Forge commercial partnerships with industry stakeholders.
28. Technical Feasibility Studies
30. Assess the resource requirements for product development, including skilled labour and manufacturing capabilities.
31. Evaluate the product's scalability potential to ensure it meets growing customer demands and market expansion.
32. Comprehensive Risk Assessment
34. Identify any potential operational barriers, including regulatory approvals and customer adoption issues.
35. Evaluate competitive risks, including threats from existing players and new market entrants.
36. Analyze customer demand fluctuations and market variations that may impact overall projections.

Qualifications and Experience

A degree in Engineering, or a related field is required.

>7 years of experience in defence, aerospace, or high‑reliability electronics systems.

Proven experience in product management, particularly in managing electronics or embedded systems on defence platforms, is preferred.

Demonstrated ability to lead cross-functional teams and manage multiple projects concurrently.

Excellent communication and interpersonal skills to foster relationships with stakeholders at all levels.

Ability to travel on short notice for business needs.

Please send your resume to john@oaktree.com.sg with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

About the team

The Product team at Airwallex is a group of passionate builders and problem-solvers who are obsessed with crafting customer-centric solutions that empower businesses to operate anywhere, anytime. We combine technical expertise with a deep understanding of our customers' needs to design and build unified, intuitive, and scalable products. As a team, we thrive in a collaborative and fast-paced environment, constantly iterating and pushing boundaries to deliver exceptional product experiences.

What you’ll do

Airwallex is looking to grow our Global Product Strategy and Operations team to play a pivotal role in bridging the gap between our customers, commercial and product teams. As a core member of the team, you will get to directly contribute to the direction of Airwallex’s product strategy, proposition and to scale this function.

This role is based in Singapore.

Responsibilities:

• Develop a thorough ‘customer needs’ understanding across customer segments, regions and propositions through direct customer interviews, competitor analysis and deep data analysis

• Collaborate directly with the product and strategic partnership teams to translate ‘customer needs’ into an effective and market-leading product and commercial strategy

• Deliver great product and experiences to market in close collaboration with sales, marketing, operations, legal, pricing with the right feedback loops to learn and pivot our product

• Leverage first principles problem solving skills to develop Airwallex’s strategic ‘big product bets’ that is required to grow our business and unlock additional use cases

• Embed robust ways of working, best practices and capabilities across product, commercial and strategy teams to deliver on initiatives effectively

• Communicate key recommendations to senior stakeholders including the CEO, VP Global head of product and other key product leaders

• Drive new initiatives and ideas from zero to one and work with the cross-functional stakeholders to deliver high quality product outcomes

Who you are

We're looking for people who meet the minimum qualifications for this role.

Minimum qualifications:

• 5+ years of experience in either a top-tier strategy consulting firm or a product strategy function at a fast growing tech company 

• Self-starter that can identify and prioritise opportunities to focus on - You are willing to roll up sleeves and go deep into the assigned problem

• Track record of collaborating across teams – You can effectively partner with sales, operations, design, marketing, product and data analytics

• Strong written and spoken communication skills - you’re able to articulate complex concepts in a simple way

• Strong analytical and first principles-led problem solving skills

• Technology, financial services and experience in a high growth environment is good to have

• Bachelor’s degree or equivalent, with demonstrated academic achievement

Job Summary

Execute frontline sterile drug product manufacturing operations, including material management, equipment handling, aseptic operations, process monitoring, visual inspection, packaging and GMP compliance across the entire production workflow, etc.

Responsibilities

Production Execution & Equipment Operations

·Set up and operate pharmaceutical production equipment for sterile drug product manufacturing processes (materials sterilization, formulation, filter integrity testing, vial washing and depyrogenation, filling, lyophilization, capping, external washing, visual inspection, packaging and labelling).

·Strictly follow aseptic techniques and practices during aseptic operations in accordance with relevant SOPs.

·Perform cleaning and upkeep of production equipment and classified manufacturing areas as per relevant SOPs and batch records.

·Review, approve, and close out safety work permits in compliance with site safety procedures.

·Possess mastery of DP equipment principles and familiarity with the production process, enabling independent operation and basic maintenance/ troubleshooting of related equipment.

• Report deviations promptly, assist in deviation investigation and CAPA implementation
• Maintain ALCOA++ compliant documentation by accurately completing batch production records.

·Conduct and support the commissioning, SAT, IQ, OQ, PQ, smoke study, media fill, equipment qualification and validation related work during the facility construction stage.

·Any other duties as and when assigned by the Manager or supervisor.

Material Management & Quality Control

• Manage material handling (issuance, verification, return) with proper status labelling.

·       Perform all material and process transactions in SAP at each manufacturing step in accordance with relevant SOPs and batch records.

• Support environmental monitoring (settle plates/airborne particles sampling) and in-process tests sampling

Compliance & Continuous Improvement

• Strictly adhere to SOPs and EHS protocols (cleanroom gowning, sanitization procedures)

·Participate in process optimization trials (e.g., lyophilization cycle adjustment) and propose efficiency improvements

• Support client/regulatory audits through live process demonstrations and document retrieval

·Support the revise of relevant operating procedures, batch production records, and related files in accordance with GMP requirements

Qualifications

·Diploma or higher in Pharmaceutical Manufacturing, Pharmaceutical Engineering, Pharmacy, Bioengineering, Biotechnology, Chemical Engineering, Microbiology, or related fields.

· Fresher or personnel with 1 or 2 years of relevant experiences in pharmaceutical industry.

·Knowledge of GMP is preferred, with expertise in aseptic production being an advantage.

·Possess a solid foundation in pharmacy and biotechnology, with proficiency in Microsoft Office.

·Strong English language skills and the ability to proactively analyze and solve problems that arise in the workplace.

·Excellent hands-on operational skills, with careful and conscientious equipment operation and timely record-keeping.

·Good communication and expression skills.

·Effective team collaboration, efficient execution, and a strong sense of responsibility.

·Flexibility to work on day, afternoon, or night shifts, and on weekends as part of shift rotations, depending on production scheduling needs.

Training Opportunities

·Production Skills Training: Helps you quickly meet the technical qualification requirements for your current position.

·GMP Hands-on Training: Media fill qualification, Grade A isolator behaviour

·Equipment Usage Skills Training: Familiarize yourself with the facilities and equipment involved in DP.

·Vocational Training: Become familiar with the characteristics and mechanisms of various biopharmaceutical R&D and production, master the skills of efficiently and reasonably managing time, and enhance your core competitiveness.

·Safety Awareness and Professional Training: The company offers a comprehensive system of safety training materials and experienced instructors.

·Monthly Academic Reports: World-renowned scientists and experts are invited to deliver lectures.

·Management Skills Training: Provided by company executives and renowned training institutions to improve employees' practical and theoretical knowledge.

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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.​

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

The E-Commerce Risk Control (ECRC) team is missioned: - To protect Tiktok E-Commerce users, including and beyond buyer, seller, creator; - By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform; - Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.

In this team you'll have a unique and exciting opportunity to have first-hand exposure to build scalable and robust, intelligent and privacy-safe, secure and product-friendly systems via AI technology and data science products. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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

- Develop machine learning solutions for identifying and preventing various fraudulent activities.

- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.

- Build data pipeline to enable scalable and real-time risk prevention.

- Analyze / test the effectiveness of the built solutions.

- Work in a cross-functional team setting to mitigate business risks.

- Work with relevant software platform to develop/deploy/monitor the models.

Qualifications

Minimum Qualifications:

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

- Good coding skills in one or more programming language.

Preferred Qualifications:

- Familiar with machine learning frameworks such as scikit-learn, tensorflow, pytorch.

- Ability to think critically, rationally, and communicate in result-oriented, data-driven manner.

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 apac-earlycareers@tiktok.com

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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.​

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

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 our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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 PhD 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.

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 apac-earlycareers@tiktok.com

• Hiring 3 positions - Electrical Project Engineer / Electrical Project Manager / E&M Project Manager

• Location: West Singapore

• 5 days / 5.5 days

• AWS & VB / VB provided

About the Role

We are seeking a driven Electrical Project Engineer / Electrical Project Manager / E&M Project Manager to lead and deliver high-value power infrastructure projects, including Transmission & Distribution (T&D) OR LTA E&M rail projects.

This role offers strong exposure to high-voltage systems, substations, and large-scale infrastructure works, ideal for candidates looking to grow into a senior project leadership position.

Key Responsibilities

• Lead and manage electrical power projects from planning to commissioning

• Oversee HV/MV systems, including substations, switchgear, and power distribution networks

• Coordinate with clients, consultants, contractors, and authorities (e.g. LTA, utilities)

• Ensure projects are delivered on time, within budget, and to quality standards

• Review and validate engineering designs, technical submissions, and drawings

• Manage subcontractors, vendors, and procurement activities

• Handle site coordination, installation, testing & commissioning works

• Ensure compliance with safety regulations and industry standards (IEC, local codes)

• Prepare project reports, progress updates, and documentation

Requirements

• Degree/Diploma in Electrical Engineering or related field

• Experience in power infrastructure, T&D, or LTA E&M projects

• Hands-on exposure to:

  • High Voltage / Medium Voltage systems

  • Substations / power distribution

• Proven experience in project execution or coordination

• Familiar with local authority requirements (e.g. LTA / SP Group) is an advantage

• Strong stakeholder management and communication skills

• Able to work on-site and manage multiple project activities

Preferred Profile

• Candidates from EPC contractors, power utilities, or rail infrastructure projects

• Experience in substation, grid, or traction power systems

• Ready to step up into a Project Manager role (for senior candidates)

Why Join?

• Opportunity to work on major infrastructure & rail projects in Singapore

• Exposure to high-value HV/T&D systems

• Clear career progression to Project Manager level

• Dynamic and collaborative engineering environment
  

To Apply, kindly click on the "APPLY NOW" button.

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Chong Kar Ming (John) (R21101412)

Duration: Yearly Renewable Contract (Convertible)

Working Location: AMK

Working Hours: Monday to Friday (830am – 6pm)

Salary range: $4000 to $6000 (Based on experience)

Job Responsibilities:

• Closely collaborate with Project Manager and Engineers to support the fulfilment of contract obligations within timeline, cost, and scope

• Manage and oversee project documentation and subcontractor matters

• Perform system setup, server configuration, and database setup, including onsite installations where required

• Handle and support virtual hardware environments and system infrastructure

• Support IT infrastructure comprising Microsoft OS and Windows Servers

• Perform basic setup of network switches, configure IP addresses, and conduct network connectivity checks for all network devices within the project

• Setup network connections and perform connection testing to ensure system stability and performance

• Support integration with IoT devices and front-end systems where required by project scope

• Configure and manage cameras and related system components where applicable

• Perform installation, debugging, and troubleshooting of IT-related issues during project implementation

• Support system integration activities and testing phases, including UAT / FAT / SAT

Job Requirements:

• Minimum Degree in Computer Science or equivalent

• Minimum 2-4 years of relevant system-related experience

• Experience in IT Management Systems Deployment, with proficiency in Database, Networking, Windows OS, and Windows Servers

• Experience in server setup and configuration, including onsite installation environments

• Knowledge or experience working with virtual hardware environments

• Experience in system integration and testing environments (UAT / FAT / SAT)

• Experience in database cluster setup, data backup, and recovery processes

• Experience in data migration, data integration, and data monitoring

• Experience analyzing tender requirements and supporting tender bidding processes

• Experience and knowledge in certification management, key management, and infrastructure common services such as AD (Active Directory), NMS, ClearPass, MFA / 2FA, eG, KMS, AntiVirus, Patch Management, MDM

• Familiar with network device configuration, IP addressing, and network connectivity testing

• Good understanding of system architecture design and ability to draft professional technical documentation

• AUTOCAD or SLD knowledge will be an added advantage

• Knowledge or experience in IoT device integration and camera system configuration is preferred

If you are interested, please submit your application here.

Thank you for your application and we regret that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Outsourcing Singapore 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.persoloutsourcing.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

EA License No: 90C3494 | EA Personnel No: R25157619 | EA Personnel Name: Kauthamen Appu
You may also reach me at 9172 3964 for further information.

• Location: Across SG (Project Based)

• Industry: Construction - Civil / M&E / ACMV / Fire Protection / E&E

Looking to take your engineering career to the next level? We are seeking motivated Project Engineers to be part of dynamic project teams delivering a wide range of construction and engineering works across Singapore.

Whether your background is in Civil, M&E, ACMV, Fire Protection, or Electrical & Electronics — this role offers the opportunity to work on diverse, real-world projects.

Job Scope:

• Support project execution from planning through to completion

• Coordinate with clients, consultants, subcontractors, and internal teams

• Assist in site supervision to ensure works are carried out according to drawings and specifications

• Prepare and track project schedules, reports, and documentation

• Review technical drawings, method statements, and submissions

• Ensure compliance with safety, quality, and regulatory requirements

• Monitor site progress, manpower, and material delivery

Requirement:

• Diploma/Degree in Engineering (Civil, Mechanical, Electrical, or related fields)

• Experience or exposure in Construction / M&E / ACMV / Fire Protection / E&E projects

• Familiar with site coordination, drawings, and basic project workflows

• Good communication and stakeholder management skills

• Responsible, hands-on, and willing to work on-site

• Fresh graduates with relevant internships are welcome to apply

To Apply, kindly click on the "APPLY NOW" button.

We regret that only shortlisted candidates will be notified.

StaffKing Pte Ltd (20C0358) | Chong Kar Ming (John) (R21101412)

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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.​

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

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 our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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.

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 apac-earlycareers@tiktok.com

Location: Ang Mo Kio (Client site if required)

Salary Range: $5,500 to $6,000

Working Days: Monday to Friday

Job Responsibilities:

• Lead system and software safety activities across the full system lifecycle as subject matter expert in System or Software Safety, provide support to operational teams in System / Software Safety requirements for system / product / solution offered by company

• Develop and maintain System Safety Programme Plan (SSPP) and Software SSPP

• Identify, analyse, assess, mitigate, and track system and software hazards to closure

• Lead project engineers in Hazard Identification and conduct Hazard Analyses, Functional Hazard Assessment, develop mitigation measures to address hazards identified

• Maintain and control the Hazard Log, including residual risk acceptance

• Perform risk classification and safety criticality assessment

• Ensure risk mitigation follows the design order of precedence

• Execute System Assurance (SA) activities in accordance with contractual requirements

• Define, manage, and demonstrate compliance to RAMS objectives (Reliability, Availability, Maintainability, Safety)

• Perform and review RAM and Integrated Logistics Support (ILS) related analyses (e.g.FMECA, reliability, availability, maintainability)

• Provide support to address ILS requirements for product/system/solution offered by the company

• Generate related ILS and RAM documentation

• Manage FRACAS and corrective actions

• Plan and conduct Safety & RAM Verification and Validation (V&V)

• Prepare and approve safety deliverables (e.g. Safety Assessment Report (SAR), Software Safety Assessment Report (SwSAR), RAMS, V&V reports)

• Support Authority reviews, audits, and safety boards

• Interface with Engineering, QA, and Project teams while maintaining independent safety judgement

• Attend review meetings and System Safety Board / Forum to clear all System Safety issues as well as related RAM/ILS

Job Requirements:

• Degree or Diploma in Engineering (Electrical/Electronic/Mechatronic/Systems, or equivalent)

• Prefer to have System & Software Safety experience

• 3–5 years’ experience in System Safety, Software Safety, or System Assurance (RAMS)

• Working knowledge of hazard analysis, risk assessment, and safety lifecycle processes

• Familiarity with SSPP / Software SSPP, RAMS concepts, and safety deliverables (e.g. SAR, SwSAR)

If you are interested, please submit your application here.

Thank you for your application and we regret that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Outsourcing Singapore 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.persoloutsourcing.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

EA License No: 90C3494 | EA Personnel No: R25157619 | EA Personnel Name: Kauthamen Appu

You may also reach me at 91723964 for further information.

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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.​

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

The E-Commerce Risk Control (ECRC) team is missioned: - To protect Tiktok E-Commerce users, including and beyond buyer, seller, creator; - By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform; - Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.

In this team you'll have a unique and exciting opportunity to have first-hand exposure to build scalable and robust, intelligent and privacy-safe, secure and product-friendly systems via AI technology and data science products. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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

- Develop machine learning solutions for identifying and preventing various fraudulent activities.

- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.

- Build data pipeline to enable scalable and real-time risk prevention.

- Analyze / test the effectiveness of the built solutions.

- Work in a cross-functional team setting to mitigate business risks.

- Work with relevant software platform to develop/deploy/monitor the models.

Qualifications

Minimum Qualifications:

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

- Good coding skills in one or more programming language.

Preferred Qualifications:

- Familiar with machine learning frameworks such as scikit-learn, tensorflow, pytorch.

- Ability to think critically, rationally, and communicate in result-oriented, data-driven manner.

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 apac-earlycareers@tiktok.com

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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.​

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

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 our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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.

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 apac-earlycareers@tiktok.com

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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.​

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

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 our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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 PhD 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.

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 apac-earlycareers@tiktok.com

• Operate SPPA’s 6.6KV and 22KV high voltage distribution network equipment, electrical systems, and apparatus under the direction/instruction of the Authorised Person (AP).
• Receive, confirm, and execute instructions as directed.

Job Requirements:

• Minimum 3 years of experience as a Switching Personnel for 22/6.6KV switchgear; experience with SPPG projects will be an advantage.

• Candidates who have completed and passed relevant training courses for Operation Personnel will be considered an advantage.

• Our benefits and compensation for permanent position are as follows:

• Salary for experience candidates will be considered based on the years of experience and our internal salary structure

• 1 month AWS

• Variable Bonus ranging from 1 to 6 months depending on individual and company performance

• Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

• Working days: Monday to Friday (1 day work from home per week)

• Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

• 18 days up to 21 days for executive (Engineer and above)

• Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

• Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

• Term Life

• Personal Accident

• Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

• Flex Dollars of $500 per financial year

• Free annual year-end Health Check-Up

• Monthly Birthday Party Celebration

• Monthly Sports Activities

• New Born Gift

• CSR Initiatives

• Department Bonding Activities

• Biennial team building and staff appreciation dinner

• Gym Corner for employees to exercise

• Good Pay + Good allowance + Good Bonus

• Interested candidates please send an updated Resume / CV in Ms Word format to lilian@recruitflash.com or WhatsApp’s your resume to 98332779 ( no Calls)

• Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Direct Contract

• Working Location: Ang Mo Kio + Site (Tuas Naval Base)

• Working Days & Hours: Mon to Fri (8am to 5pm)

• Salary range: Up to $5500 + Performance Bonus

Job Descriptions:

• Install, configure, and commission assigned systems and equipment at customer sites, ensuring all standard procedures, manufacturer guidelines, and safety protocols are strictly followed

• Perform routine and preventive maintenance on systems to maintain reliability, optimize performance, and prevent potential failures

• Diagnose and troubleshoot hardware, software, and system issues on-site, applying technical expertise to identify root causes and implement effective solutions

• Provide technical support and hands-on training to customers and end-users assisting to operate the systems efficiently

• Document service activities, including installation procedures, maintenance work, troubleshooting steps and detailed service reports

• Collaborate with internal teams and customers to ensure systems perform optimally and customer satisfaction is maintained at all times

• Adhere to company policies, safety regulations, and quality standards to ensure a safe, compliant, and professional working environment

 Job Requirements:

• Degree, Diploma or NITEC in Engineering in Electronics or equivalent

• Preferably 2-3 years of experience in providing maintenance services

• Prior experience in Electro-Optics (EO) or Radar system maintenance is an advantage

• Willing and able to perform 24/7 standby duties, including after-hours support

• Possesses a valid Class 3 driving license is preferred, to operate company vehicles when required

If you are interested, please submit your application here.

Thank you for your application and we regret that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Outsourcing Singapore 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.persoloutsourcing.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

EA License No: 90C3494 | EA Personnel No: R25157619 | EA Personnel Name: Kauthamen Appu

You may also reach me at 91723964 for further information.

• Career growth in Mechanical Design, Automation, and R&D
• Exposure to Advanced Automation and Machine Design projects
• Hands-on experience in High-Precision engineering environment
• Opportunity to work on System Integration and Semiconductor-related technologies

Key Duties

• Perform concept design and system integration for automation machines
• Develop mechanical designs including DFM (Design for Manufacturing) and DFA (Design for Assembly)
• Prepare detailed fabrication, assembly, and layout drawings
• Conduct component selection and sizing (servo systems, pneumatic systems, sensors)
• Support design standardization, costing, and project planning
• Execute prototype testing and validation based on engineering standards
• Generate and maintain technical documentation, BOM, and user manuals
• Apply engineering tools such as FMEA, DOE, tolerance stack-up analysis, and FEA simulation
• Collaborate with cross-functional teams on machine development and troubleshooting

Requirements

• Diploma / Degree in Mechanical Engineering or Mechatronics Engineering
• Minimum 1 year of relevant Mechanical Design experience
• Proficiency in 3D CAD / solid modeling software
• Strong knowledge of mechanical components, servo systems, pneumatic systems, and sensors
• Familiarity with automation systems and machine design principles
• Understanding of geometric tolerancing (GD&T) and dimensional analysis
• Experience or knowledge in high-precision or high-speed machine design is an advantage
• Exposure to semiconductor front-end/back-end processes is a plus
• Working knowledge of ISO standards, manufacturing practices, and engineering procedures
• Experience with engineering analysis tools (FEA, FMEA, DOE) preferred

Apply to: jeffrey@oaktree.com.sg
Contact Person: Jeffrey Chua Kay Hwee
EA License No: 06C4642
EA Reg No: R1110624

THE ROLE:

We are the high-end test engineering team providing test solutions for Data Center New Product Introduction (NPI) under the Product Engineering Organization. We do exciting product development for leading-edge technology that will power the next generation processors used for high performance computing, data centers, and enterprise servers.

If you are looking for a fulfilling and challenging career as an engineer leading SLT (System Level Test) IVR (Integrated Voltage Regulator) Engineer, you are at the right place! In this role, you will be responsible for defining, driving and enabling SLT test solution with on-chip integrated voltage regulator to meet NPI business milestones and KPI (test time, yield, cost, quality). The expectation is to perform leadership to interact with Silicon/Board/Power design teams, Product & Test Engineering teams, Customer Quality teams, software & platform teams to bring new product from first silicon to HVM (High Volume Manufacturing) with aggressive schedule. You will experience working with and learning from AMD’s talented engineering teams around the world.

THE PERSON:

We are looking for someone with strong technical, analytical, leadership and problem-solving skills, as well as demonstrating the characteristic of an independent and resourceful individual. The applicant must have a proficient understanding of High Power Delivery (above 1kW) design, power capacitors and inductors, buck/boost converters, and ideally has experience with IVR (Integrated Voltage Regulator) as well as a broad understanding of silicon VFT (Voltage/Frequency/Temperature) behavior, on-die silicon power integrity, and system level power management etc.

KEY RESPONSIBILITIES:

• Accountable to provide leadership to meet business milestone, cost and quality in GPU system level test area.
• Collaborate with internal teams to drive IVR (Integrated Voltage Regulator) SLT swim lane from pre-silicon, ASIC initial bring up to HVM (High Volume Manufacturing)
• Solves complex, novel, and non-recurring problems; initiates significant changes to existing processes/methods and leads development and implementation
• Conduct engineering evaluations and analysis to qualify cutting-edge IVR for HVM and drive closure of GPU production issues
• Profile or characterize PI (Power Integrity), voltage droop, or power delivery issue observed on SLT platforms in collaboration with board/silicon designers
• Involves collaboration on or assuming the consultative or leadership responsibilities for a specific project or for product development initiatives
• May provide technical supervision or mentoring junior engineers
• Upscale overall team capabilities on low level system debug for AMD data center product families

PREFERRED EXPERIENCE:

• Experience and with good understanding of Power Delivery design for high power GPU product (above 1kW), and knowledge in state-of-the-art of IVR (Integrated Voltage Regulator)
• Strong expertise with using analyzers and oscilloscopes, and other debug tools
• Knowledge and working experience on GPU and HBM architecture, SoC design and SoC power management features are a strong plus
• Strong and effective presentation, written and verbal communication skills, and the ability to work with geographically distributed product engineering teams
• Proficiency in Windows, and Linux operating systems
• Basic scripting proficiency for automation (Shell script, Perl, Ruby, Python)
• 8 years or more industry experience

ACADEMIC CREDENTIALS:

• BS/MS Electrical Engineering, Computer Engineering, or comparable disciplines

LOCATION:

Singapore

Your new company 

A reputable precision engineering company known for supporting advanced semiconductor production needs, seeking a proactive and technically inclined Sales Engineer to serve as the primary technical and commercial contact for customers. This role is responsible for providing tailored solutions, supporting the end‑to‑end sales cycle, driving customer satisfaction, and achieving revenue and gross profit targets. You will also gather market intelligence to strengthen product offerings and sales strategies.

Your new role 

1. Technical Expertise Development

• Develop strong understanding of in‑house manufacturing processes, product features, materials, and applications.
• Stay updated on industry trends and technological advancements.

2. Customer Relationship Management

• Build and maintain strong relationships with existing and potential customers.
• Act as the main point of contact for product specifications, applications, and solution discussions.
• Ensure timely responses, proactive follow-ups, and high customer satisfaction.
• Assist in resolving complex issues by liaising with internal teams and escalating when necessary.

3. Sales Strategy & Business Development

• Support and execute sales strategies to achieve assigned targets.
• Identify new business opportunities and analyze competitor offerings.
• Lead contract negotiations and manage the full sales cycle.

4. Product Presentations & Solution Support

• Conduct product presentations and customer meetings to showcase solutions.
• Customize presentations based on customer needs and industry applications.
• Work closely with internal teams to provide customer feedback and support product improvements.

5. Reporting & Performance Tracking

• Prepare weekly and monthly reports on market trends, customer insights, and sales performance.
• Analyze sales data to identify opportunities, gaps, and improvement areas.

What you'll need to succeed 

• Diploma or Bachelor's Degree in Engineering or a related technical field.
• Additional certifications in sales or technical domains are an advantage.
• Experience or familiarity with semiconductor or precision manufacturing industries is highly preferred.
• 3–5 years of experience as a Sales Engineer, Field Application Engineer, or Technical Sales Engineer.
• Hands-on experience in the full sales cycle, including customer engagement, technical proposals, and pricing/contract discussions.
• Strong interpersonal skills with the ability to build long-term customer relationships.

What you need to do now 

If you're keen on pursuing this exciting opportunity, please send a copy of your CV to shania.herman@hays.com.sg for confidential discussion.
EA Reg Number: R23117721

EA License Number: 07C3924 | Company Registration No:200609504D

Job Title: DevOps / Middleware &Cloud Engineer

Job Summary

Looking for a skilled DevOps / Middleware& Cloud Engineer to design, implement, and manage scalable infrastructureand CI/CD ecosystems. The role involves working with container platforms,middleware technologies, and cloud environments while ensuring highavailability, automation, and efficient software delivery.

Key Responsibilities

• Configure and support platforms such as Cloudera, Apache NiFi, Kafka, Zookeeper, and OpenShift
• Design and manage middleware and cloud infrastructure across Dev, UAT, Production, and DR environments
• Build and manage containerized applications using Docker and Kubernetes
• Develop, maintain, and optimize CI/CD pipelines for streamlined build and release processes
• Support build, release, deployment, and production operations
• Participate in Agile/Scrum sprints to enhance CI/CD and DevOps practices
• Implement and manage monitoring, alerting, and performance tuning solutions
• Maintain and integrate tools for configuration management, automation, monitoring, and reporting
• Develop automation scripts for server configuration, CI/CD workflows, and infrastructure provisioning
• Perform capacity planning and risk management to ensure system scalability and reliability
• Manage DevOps operations including SCM, build/release management, and automation
• Design and deploy cloud infrastructure solutions on AWS and Azure
• Troubleshoot deployment, infrastructure, and performance-related issues

Required Skills

• Middleware/Data: JBOSS, Apache, WebLogic, WebSphere, Cloudera, NiFi, Kafka, Zookeeper
• Containers: Docker, Kubernetes, OpenShift
• CI/CD & DevOps: Jenkins, Git, Maven, ALDON
• Cloud Platforms: AWS, Azure
• Monitoring Tools: Grafana, Prometheus, Loki, CloudWatch, Geneos, Truesight
• Scripting: Shell/Python
• OS: Linux/Unix
• Concepts: CI/CD, DevOps, Microservices, SCM, Infrastructure Automation

Key Competencies

• Strong troubleshooting and analytical skills
• Experience in automation and infrastructure optimization
• Ability to work in Agile/Scrum environments
• Good understanding of system reliability, scalability, and performance tuning

Nice to Have

• DevSecOps exposure (SonarQube, Veracode)
• Experience with enterprise release management tools
• Knowledge of banking or enterprise application domains

Job Description

• Industry/ Organization Type: Building and Construction
• Position Title: Project Engineer / Project Manager
• Working Location: Islandwide (Office at Tuas, Transport provided at Joon Koon MRT)
• Working Hours: 5 days (8.00am – 5.00pm)
• Salary Package: Basic + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Oversee day-to-day site works to meet design, specs, and plans.
• Lead the site team; plan and execute daily activities.
• Manage manpower, materials, and equipment to stay on schedule and within budget.
• Track subcontractor progress and quality; resolve issues promptly.
• Work with main contractor and consultants on design reviews, approvals, and technical queries.
• Attend progress meetings with clients, main con, and consultants; report site status.
• Enforce EHS standards and site housekeeping.
• Deliver the project on time, within budget, and to required quality.
• Other tasks as assigned by Management.

APPLY NOW!!!

• Diploma or Degree in Engineering, Construction Management, or related field.
• Minimum 2 years’ project management experience in building/civil works.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #79391 on the email subject.

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

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Role Overview

As a Senior BMS Embedded Hardware Engineer, your primary mission is to design, develop, and validate high-performance embedded hardware systems that serve as the "nervous system" of our battery technology. You will lead the creation of robust analog and digital circuits from concept to mass production. While design is your core focus, you will also act as a technical evaluator—reviewing and validating designs of new and existing hardware to drive continuous improvements in performance, reliability, safety, and cost-efficiency.

Core Responsibilities

1. Hardware Design & Architecture (Primary Focus)

• Schematic & PCB Design: Lead the design of complex, multi-layer PCBs using Altium Designer, focusing on analog/digital mixed signal circuits, sensor interfaces, and cell-balancing networks.
• Power Electronics: Design & integrate MCU, power stages, including DC-DC converters, communication circuitry, protection circuitry, high-voltage isolation etc.
• Component Selection: Source and qualify critical components (MCU, AFEs, ADCs, Shunts, MOSFETs) based on performance, thermal constraints, and AEC-Q standards.

2. Design Evaluation & Optimization

• Reference Design Review: Evaluate and "stress-test" existing hardware or supplier reference designs to identify potential failure points or quality gaps.
• Cost & Quality Engineering: Proactively identify opportunities to optimize the Bill of Materials (BOM) and improve manufacturing yields through better Design for Manufacturing (DFM).

3. Full-Spectrum Hardware Testing & Validation

• Testing Lifecycle: Plan and execute the "Full Package" of hardware testing, including bench-level verification and functional testing.
• EMC/EMI & Safety: Own the EMC/EMI testing process (Conducted/Radiated) and ensure the system meets global standards (ISO 26262, UL 1973, IEC 61508).
• HIL Integration: Support Hardware-in-the-Loop (HIL) testing to validate hardware responses against real-time simulated battery environments.

4. Hardware-Software Interface (HSI)

• Work and collaborate closely with the Firmware team to define and develop hardware abstraction layers.
• Provide deep hardware insights to support the development of low-level drivers, ADC calibration routines, and interrupt-driven communication.

Requirements

• Education: Bachelor’s or Master’s in Electronics/Power Electronics Engineering / Electrical Engineering (EE) or equivalent, optionally with focus in Analog Digital Circuit Design, and Embedded Systems.
• Experience: 3–5+ years in the power electronics, automotive electronic or high-reliability embedded industry.
• Technical Expertise:
• Expert / Experienced-level proficiency in Altium Designer (schematic capture and PCB layout).
• Proven experience with Automotive MCUs (NXP, ST, etc.) and their hardware-level peripherals.
• Hands-on experience with BMS Analog Front-Ends (AFE) and current/voltage monitoring circuits.
• Strong understanding of EMC/EMI mitigation techniques at the PCB level.

Bonus Qualifications

• Firmware Awareness: A strong understanding of the "hardware-facing" software layer (register maps, memory-mapped I/O, and low-level MCU architecture).
• Simulation: LTSpice, PSpice, or MATLAB/Simulink for worst-case circuit analysis.
• Safety Standards: Work with functional safety lifecycles (ISO 26262).

About the job:

• Support BMS project execution from design to handover.
• Plan site activities, monitor progress, and resolve technical or site issues.
• Attend site meetings and provide progress updates.
• Develop control strategies, control schematics I/O lists and network architecture
• Prepare technical submissions, shop drawings, and as-built documentation.
• Perform Niagara (Tridium) programming including logic development, graphics creation, alarms, trending, and dashboards.
• Integrate third-party systems via BACnet, Modbus, and TCP/IP.
• Configure DDC controllers, field devices, and BMS servers.
• Support BMS migrations and technology refresh projects.
• Carry out system commissioning and plant optimization.
• Perform system tuning to improve performance and energy efficiency.
• Prepare commissioning reports, test records, and as-built drawings.
• Develop O&M manuals and training materials.
• Conduct system training for clients and facilities management teams.
• Support project handover and Defect Liability Period (DLP).
• Provide troubleshooting and technical support for live BMS systems.
• Support maintenance teams during breakdowns or system upgrades

About you:

• Degree or equivalent relating to mechanical or electrical engineering or related technical discipline
• Preferable with certification of Energy Auditor / SCEM / GMAP / LEED / WELL
• Willing to travel and perform hands-on work at project sites
• Have more than 5 years of experience in relevant field
• Team player, possess good interpersonal and communication skills
• Proficient in technical report writing
• Ability to work independently
• Knowledge of ACMV systems, design software and/or AutoCAD will be advantageous

Why join Cushman & Wakefield?

As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from;

• Being part of a growing global company;
• Career development and a promote from within culture;
• An organisation committed to Diversity and Inclusion

We're committed to providing work-life balance for our people in an inclusive, rewarding environment.

We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program.

We have a vision of the future, where people simply belong.

That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, colour, religion, gender, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status. We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us.t too, join us.

Responsibilities:

• Design and evaluate scalable, secure, and fault-tolerant systems, incorporating multi-region disaster recovery and ensuring robust data consistency.
• Offer domain expertise and guidance across teams, facilitating cross-functional architectural discussions.
• Convert complex business requirements into scalable technical solutions that align with long-term product and company objectives.
• Develop high-quality, reusable components and establish best practices to enhance efficiency across teams.
• Establish and implement domain-level standards, governance frameworks, and process improvements, including microservice design, observability, and code quality.
• Mentor engineers, promote knowledge sharing, and foster a culture of continuous learning and innovation.

Qualifications:

• Holds a Bachelor's degree in Computing, Software Engineering, IT, or a related field.
• Over 8 years of experience in backend system design and development, with a proven record of delivering mission-critical systems.
• Strong expertise in Java or Go, with in-depth knowledge of backend frameworks (e.g., Spring Boot, WebFlux), messaging systems (e.g., Kafka), and distributed databases (SQL/NoSQL, Redis, etc.).
• Skilled in designing and scaling large distributed systems with a focus on performance, availability, security, and resilience.
• Capable of defining and implementing engineering standards and technical guidelines at the system or domain level.
• Continuously evaluates and integrates new technologies to enhance systems and processes.
• Anticipates edge cases and long-term impacts, incorporating robustness, observability, and compliance from the design stage.
• Effectively drives adoption of best practices and standards across teams and stakeholders.
• Makes informed, strategic decisions backed by technical expertise and business impact analysis.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

EA Personnel: Nyon Hock Sen (Aden)

EA Personnel Reg No: R24124070

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. 

Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe.  Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 

Key Highlights: (AI / ML Engineer)

• 5 Work Days, 8.30am-5.30pm / 9am-6pm 

• Office Near to Kaki Bukit MRT, Singapore 

• Medical Benefits Provided 

• Entitled to Yearly Bonus & Performance Bonus 

Job Responsibilities: 

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems. 

• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy. 

• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work. 

• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products. 

• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition. 

• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders. 

Job Requirements: 

1. Bachelor's or master's degree in computer science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

3. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills 

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. 

8. Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits.