Total 137 Human Resources job vacancies in George Town

Responsibilities:

• Handle full spectrum of HR functions, including recruitment, onboarding, attendance, payroll coordination, and staff records.
• Assist in MOM-related matters (work passes, quota management, renewals and applications).
• Maintain and update employee databases and HR filing systems.
• Prepare employment letters, confirmation, warning, and termination documents.
• Support outlet managers on manpower scheduling and disciplinary matters.
• Handle administrative tasks such as office supplies, insurance renewal, vendor liaison, and documentation.
• Coordinate staff training, medical check-ups, and other HR compliance requirements.
• Work closely with management to improve HR processes and employee welfare initiatives.
• Support other ad-hoc tasks assigned by management.

Requirements:

• Minimum 2 years of HR & Admin experience in the F&B industry (restaurant background preferred).
• Bilingual in English and Mandarin to handle Chinese-speaking employees and documents.
• Good knowledge of MOM regulations, CPF, and employment law.
• Proficient in MS Office (Word, Excel) and HR/payroll software (e.g. Times Software).
• Strong sense of responsibility, good communication skills, and attention to detail.
• Able to work independently in a fast-paced environment.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/AI-Engineer-for-AI-Singapore-%28AI-Talent-Development%29/33283-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI.  

AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

In this role, you will:

• Develop and deliver AI courses and programmes that raise AI fluency level for SAF workforce, including but not limited to playbooks for operational users and raising awareness of common AI use cases within SAF.
• Provide technical mentorship via sprints or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact.
• Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. 
• Assist Senior AI Engineer to develop and maintain a job-skills-proficiency (JSP) map.
• Assist Senior AI Engineer to execute AI engineer certification programme.

Qualifications

• Degree in computer science, engineering, data science, or equivalent practical experience.
• Minimum 1 year in software engineering / ML engineering / applied AI and deploying models into production.

Salary: Up to $3,500

Working Schedule: Weekdays (8:00am – 5:00pm), Alternate Sat (8:00am – 12:00pm)

Location: Clementi

Key Duties:

• Respond to client inquiries and provide daily operational assistance.

• Handle quotation preparation, data updates, and documentation management.

• Carry out Customs/ TradeNet permit submissions for import and export processes.

• Work closely with logistics partners, shipping agents, and regulatory bodies.

• Manage reporting tasks, invoicing, and ensure proper completion of all job records.

Key Requirements:

• At least 3 years experience in warehouse or logistics operations preferred.

• Diploma in Logistics or a relevant discipline.

• Knowledge of Customs/ TradeNet permit declaration processes.

Job Description

Roles & Responsibilities

• Responsible for full spectrum of payroll processing, including but not limited to income tax filing and IR21 clearance, CPF submission, statutory claims such as NS-MUP, government paid leaves and payroll audits.
• Checking of time attendance and roster to ensure payment of hours, including overtime are correct.
• Processing of full-time, part-time and casual labour payroll matters, payroll reconciliation, and tax documents.
• Ensure timely and accurate monthly payroll processing. Ensure timely and accurate pay out and compliance with the statutory requirements and regulations.
• Processing of all leave and claims, such as Maternity Leave, Childcare leave, Medical Leave, Annual Leave, ICT leave etc.
• Prepare monthly payroll related reports and reconciliation and resolve any payroll discrepancies.
• Assist HR Manager in payroll projection during budget exercise, salary review exercise, process streamlining, payroll system change/upgrading (if any) etc.
• Work closely with Finance to reconcile monthly payroll report and budget variance report.
• Assist in payroll audit from external auditors.
• Support the current processes of compensation and benefits, government grants and the necessary statutory submissions such as MOM survey.
• Handle employees’ payroll-related enquiries, with huge manpower volume
• Other ad-hoc or administrative duties as and when assigned.
• Able to start work immediately.

Job Requirements

• Minimum Diploma holder with at least 1-year related HR experience.
• Working knowledge with infoTech/iRep system is an advantage.
• Familiar with Employment Act is an advantage.
• Proficient in MS Office Applications (e.g. MS Word, Excel, PowerPoint).
• Familiar with the security industry will be an advantage.
• Meticulous with an eye for details.
• Able to cope in a fast-moving environment and work independently.

Only shortlisted candidates will be contacted

COMPANY DESCRIPTION

YTL PowerSeraya Pte. Limited, a wholly owned subsidiary of YTL Power International Berhad, is in the business of producing, wholesaling, trading and retailing of energy; with a primary focus on electricity. As an established player in Singapore's energy sector, it supplies the country's energy needs through its multi-utilities platform. With a licensed generation capacity of 3,100 MW*, it is one of Singapore's largest electricity generators.

The YTL PowerSeraya Group has three subsidiaries: the retail arm under the Geneco brand provides electricity price plans and energy solutions to homes and businesses, PetroSeraya is the fuel management arm of the Group, and Taser Power which operates Taser Power Plant.

Besides being a Plaque of Commendation (GOLD) awardee at the National Trade Union Congress's May Day Awards 2023, YTL PowerSeraya has adopted three Tripartite Standards under the Tripartite Alliance for Fair and Progressive Employment Practices, and has committed to be a fair and progressive employer. To find out more about the organisation, please visit ytlpowerseraya.com.

*As at 4 February 2026, our registered generating capacity with EMA is 2,487 MW.

RESPONSIBILITIES

Able to commit until April or May 2027.

• Assist with the full recruitment cycle, including but not limited to sourcing, screening, shortlisting, arranging interviews, and liaising with candidates.
• Assist with onboarding and offboarding processes, as well as preparing related HR documentation.
• Support HR operations and administrative activities, including document preparation and report generation.
• Support employee engagement initiatives, HR transformation projects, and other ad hoc assignments as required.

• Currently pursuing a diploma/degree in Human Resource Consulting/ Management / Development, Psychology, Business, or a related discipline, with a strong interest in Human Resource Management & Development.
• Able to commit to a full-time on-site internship for a minimum of 3 months.
• Independent, energetic, and resourceful team player.
• Strong organisational skills, with a keen attention to detail.
• Able to engage stakeholders confidently and professionally.
• Strong communication and interpersonal skills.
• Proficient in Microsoft Office.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/AI-Engineer-for-AI-Singapore-%28AI-Talent-Development%29/33282-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI.  

AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

In this role, you will:

• Develop and deliver AI courses and programmes that raise AI fluency level for SAF workforce, including but not limited to playbooks for operational users and raising awareness of common AI use cases within SAF.
• Provide technical mentorship via sprints or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact.
• Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. 
• Assist Senior AI Engineer to develop and maintain a job-skills-proficiency (JSP) map.
• Assist Senior AI Engineer to execute AI engineer certification programme.

Qualifications

• Degree in computer science, engineering, data science, or equivalent practical experience.
• Minimum 1 year in software engineering / ML engineering / applied AI and deploying models into production.

We are looking for an experienced and hands-on Talent Acquisition Executive to join our HR team. You will collaborate with function head and operations manager on the recruitment needs. This role involves extensive outreach to blue-collar workers, managing internship placements and recruiting for engineering and technical positions.

 The Role

• Manage end-to-end recruitment activities for various roles, including blue-collar, engineering and technical positions through active sourcing, initial screening of candidates, facilitating interviews, and making recommendation for offer of employment.

• Coordinate internship recruitment in collaboration with various institutions.

• Ensures a steady manpower supply with basic core skills for the business units and provides timely solutions to expedite recruitment process.

• Point of contact to build good rapport with relevant government agencies such as e2i, WSG, etc.

• Partner with hiring managers and HR business partner to understand manpower needs and align recruitment strategies.

• Review drafts of job descriptions and job posting on various recruitment channels

• Administer weekly/monthly reports on staff movements, recruitment data and dashboards.

• Any other ad hoc duties/projects as assigned.

 Job Requirements

• Degree in Business Administration, Human Resources, or related discipline

• At least 3 to 5 years of experience as a Talent Acquisition Executive or HR Business Partner, focusing on high volume / fast-paced recruitment at both executive and non-executive level

• Self-driven, resourceful, and able to thrive in a fast-paced environment

• Strong communication and interpersonal skills

• Good knowledge of legislation and labour law and Singapore HR practices

• Proven ability to source and engage blue-collar and technical talent through creative outreach methods.

• Strong organizational, time management and multi-tasking abilities.

• Proficient in MS Office (Excel, Words, PowerPoint)

Description -

The Medical Technologist independently and without technical supervision performs low, moderate, and high complexity clinical laboratory testing as a generalist, with assignment in some or all of the following disciplines: urinalysis, coagulation, hematology, chemistry, biochemistry, special chemistry, and immunology. The Med Tech also troubleshoots laboratory equipment and methods and provides technical supervision of others as required.

Responsibilities include:

· Perform clinical laboratory testing on samples according to established laboratory procedures, and verify/report test results as requested by study protocol. Ensures quality laboratory results and prioritizes work to optimize timely result reporting. Accurately perform quality control/assurance and proficiency testing as needed

· Maintain complex laboratory equipment and correctly interpret assay validity as a CLIA qualified clinical laboratory testing professional

· Perform and record instrument and test preventive maintenance, calibration, reagent, troubleshooting and other procedures required to establish, maintain, or monitor test performance

· Perform, monitor and record disinfection and maintenance of general laboratory equipment and areas

· Technically monitor and supervise medical laboratory technicians and students. This includes participation in the laboratory competency assessment program

Required Experinece:

• Minimum of 1 year of working experience in a clinical laboratory
• Experience in chemistry or haemathology is an advantage
• Bachelor Degree is preferred

This role focuses on building, integrating, and automating security systems to strengthen detection and response capabilities across on-premise, cloud, and network environments.

Core Responsibilities

1. Design, implement, and integrate security tools across enterprise environments

2. Build and maintain telemetry pipelines into SIEM and detection platforms

3. Support onboarding of systems into security monitoring

4. Implement and manage vulnerability scanning and remediation workflows

5. Work with SOC teams to translate operational gaps into engineering improvements

6. Support incident response and post-incident remediation

Core Requirements

1. Degree in Cybersecurity, IT, Computer Engineering or related field

2. At least 5 years of experience in Security Engineering, DevOps, or platform engineering

3. Experience with enterprise security technologies (e.g. SIEM, SOAR, EDR, cloud security)

4. Proficiency in scripting or automation (e.g. Python, PowerShell)

5. Strong understanding of networking and security telemetry

6. Experience implementing or integrating security platforms (e.g. SIEM, telemetry, cloud security tools)

7. Experience working in multinational or large enterprise environments

8. Ability to deliver engineering outcomes independently

Responsibilities

• Track and manage all tender documents, drawings, and corrigenda following the document control process to ensure accuracy and completeness.

• Verify tender drawings and details to prepare comprehensive tender enquiries that support accurate project costing.

• Collaborate with supervisors to solicit quotations, select qualified subcontractors/vendors, and distribute relevant tender documents to facilitate competitive bidding.

• Perform quantity take-offs for tender projects within established timelines to support cost estimation and tender submissions.

• Assist in evaluating tenders and preparing submission documents to ensure compliance with project requirements.

• Maintain organized documentary evidence and contemporaneous records for substantiation and audit purposes.

• Interpret Mechanical & Electrical (M&E) drawings to support tender and execution activities.

• Conduct site verifications of variations and document findings to support claims submissions during project execution.

• Assist project managers and designated staff in evaluating and certifying completed work to ensure quality and contract compliance.

• Verify subcontractors’ claims to maintain financial accuracy and project budget control.

• Support monitoring of claims submission progress and payment status in coordination with contract management.

• Monitor all orders during execution and report on balance amounts to maintain financial oversight.

Requirements:

• Candidate must possess at least a Diploma/Advanced/higher/Graduate Diploma in Quantity Survey or Mechanical/Electrical Engineering or equivalent.

• Certain knowledge & experience in M&E system requirement.

• Able to work under pressure and meet tight deadline.

• Able to work independent with min supervision.

• Good knowledge and skill set in Microsoft Office.

• Quick learner and willing to explore to new skill sets/technologies.

Responsibilities

• Interpret electrical and ELV schematic diagrams to guide project execution and ensure technical accuracy.

• Coordinate and liaise with sub-contractors to facilitate smooth site work progress and timely issue resolution.

• Review contract specifications and prepare variation orders to align with project requirements and changes.

• Perform engineering design tasks including load and fault calculations to support project planning and safety.

• Diagnose and resolve technical issues during installation, commissioning, and testing phases to maintain project quality.

• Verify installation works comply with approved shop drawings, method statements, project specifications, and relevant standards.

• Participate in regular site meetings with clients and sub-contractors to discuss progress and collaboratively resolve site matters.

• Support Project, Site, and Construction Managers by monitoring project progress and assisting in project management activities.

Requirements:

• ITE/Diploma/Degree or equivalent in Electrical Engineering.

• Experience managing projects for industrial or commercial purposes.

• Experience in MRT projects is advantageous.

• Strong communication and interpersonal skills to effectively engage with diverse teams and stakeholders.

• Demonstrated problem-solving, coordination, and team collaboration skills.

Salary: Up to $3,500

Working Schedule: Weekdays (8:00am – 5:00pm), Alternate Sat (8:00am – 12:00pm)

Location: Clementi

Key Duties:

• Respond to client inquiries and provide daily operational assistance.

• Handle quotation preparation, data updates, and documentation management.

• Carry out Customs/ TradeNet permit submissions for import and export processes.

• Work closely with logistics partners, shipping agents, and regulatory bodies.

• Manage reporting tasks, invoicing, and ensure proper completion of all job records.

Key Requirements:

• At least 3 years experience in warehouse or logistics operations preferred.

• Diploma in Logistics or a relevant discipline.

• Knowledge of Customs/ TradeNet permit declaration processes.

• Strong skills in Microsoft Office.
  

Basic Salary: Up to $3,800
Working Days: 5 days per week
Location: Pasir Panjang

Job Duties:

• Safely chauffeur the Managing Director to meetings, events, and appointments.
• Ensure vehicle is well-maintained, clean, and serviced regularly.
• Maintain accurate driving and mileage records.
• Uphold strict confidentiality and professional conduct at all times.
• Assist with ad-hoc errands and travel-related support when required.

Requirements:

• Minimum 5 years of experience as a personal or corporate driver.
• Valid Class 3 driving licence with clean driving record.
• Willing to travel outstation (e.g. Malaysia) when required.

Monthly reconciliation of bank accounts using Xero
Managing HR functions including recruitment
Manage timesheets administration and payroll processing

Candidate must possess
Detailed oriented, organized, independent, reliable, resourceful, willing to learn and adapt, and a good team player, strong multitasking and prioritization skill
Proficient in MS Office

Working hours 9-6pm Mondays-Fridays
Salary: $12-$14 per hour

Contact Chan @ 87161632 for interview

Project Overview

The "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" five-year project was initiated in July 2023. It is driven by the goal of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster liveability, sustainability, innovation, and social welfare.

Successful applicants will have the opportunity to work on cutting-edge projects that aim to develop state-of-the-art AI to create future smart cities. This Postdoctoral Associate position is until June 2028 under the M3S program at SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance in Singapore.

Responsibilities

The SMART-T7 project concerns the design of human-machine systems for the scheduling and allocation of valuable resources in ways that accommodate and optimize for the needs and capabilities of both humans and machines. The project aims to solve diverse use cases in a broad set of application contexts.

The management of large-scale service and infrastructure systems—such as airport operations, urban mobility, last-mile logistics, robotic fleet management and other smart city applications—requires making tightly coupled scheduling and resource allocation decisions under significant operational complexity. These systems are characterized by high-dimensional, combinatorial decision spaces (e.g., assigning flights to gates, vehicles to multi-service tasks, lockers to dynamic demand, or robotic agents to coupled tasks), where interactions and coordination requirements between entities—such as connecting passengers, pooled service requests, customer time windows, and robotic tasks—often introduce intractable structures. At the same time, decision-makers must balance multiple, often conflicting objectives across stakeholders, including efficiency, reliability, and equity, while accounting for dynamic and stochastic demand patterns. The project addresses these challenges through a combination of advanced optimization methods (e.g., flow-based models that strengthen tractability, decomposition methods), learning-enhanced approximations (e.g., embedding-based representations of complex interactions, passenger flow estimation using generative techniques), and artificial intelligence (e.g., AI-powered digital twin simulations). Together, these approaches enable scalable, real-time decision-making in complex environments, while explicitly capturing trade-offs between operational performance and user-centric outcomes, such as passenger experience, system utilization, and service responsiveness.

The SMART-T7 team is led by Professors Alexandre Jacquillat, Jinhua Zhao, Hamsa Balakrishnan, Amedeo Odoni, and Jason Jackson from MIT, and Professor Hai Wang from Singapore Management University.

The successful candidate will work closely with Professors Alexandre Jacquillat (MIT), Hai Wang (Singapore Management University) and Bo Lin (National University of Singapore). The broad objective of the research will be to harness the power of operations research, AI, data science, and other disciplines to enhance the efficiency and effectiveness of human-machine systems. The primary application areas are smart city operations and robotic fleet management. The research will work at the interface of large-scale optimization, data-driven decision-making, the AI-optimization interface, and digital twin simulation. We invite applicants who hold or about to get a doctoral degree in Operations Research, Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, or other related disciplines. We particularly welcome candidates with expertise and experience in the integration of AI and decision-making:

Key Responsibilities

• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Publish research results in top-tier journals and conferences and disseminate research findings through presentations and other means.
• Mentor graduate and undergraduate researchers involved in related projects.
• Assist with grant writing, project management, and administrative research duties.
• Perform other duties as needed. 

Requirements

• Ph.D. in Operations Research, Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, or other related disciplines by the start of the appointment.
• Expertise 1: Experience with general methods in decision-making under uncertainty, including integer and combinatorial optimization, stochastic and robust optimization, dynamic programming, large-scale optimization, and simulation-based optimization; and/or
• Expertise 2: Experience with general methods in artificial intelligence and machine learning, including reinforcement learning, deep learning, generative AI, multimodal AI, and LLM.
• Experience in the integration of artificial intelligence and decision-making.
• Strong publication record in top-tier conferences and journals.
• Excellent communication and collaboration skills.

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