Total 309 process development engineer job vacancies in Education / Training category in Australia

Product area

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

In this role, you will be advancing fundamental capabilities of AI to drive significant benefits to humanity. You will pioneer AI research in Singapore, focused on delivering the most performant, efficient and capable generative AI models.

Qualifications

Job responsibilities

• Abstract out key problems, design elegant and deep solutions for these problems through theoretical or empirical insights.
• Prototype, profile and benchmark solutions to showcase effectiveness.
• Lead and collaborate with research teams located across the globe.
• Drive and grow collaborations with product teams to land product innovations.
• Collaborate with hardware architects/infrastructure teams to inform design and algorithm decisions.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software programming in Python or C++.
• 1 year of experience with data structures and algorithms.
• 1 year of experience implementing core Machine Learning (ML) concepts.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience in a university or industry labs, with emphasis on AI research.
• Experience developing accessible technologies.
• Understanding of transformer architecture internals.
• One or more AI/ML research publication in peer reviewed research conference.

• Well Established Company

• Basic $5000 - $5500 + AWS + Variable Bonus

• Excellent Welfare and Benefits + Career progression

• Working location: Tuas (Company Transport Provided)

• Working day: Monday to Friday

• Working hours: 8am to 5pm

  
  

Job Responsibilities:

• Develop, evaluate, and optimize treatment and handling processes for existing, new, and unknown waste streams, ensuring technical feasibility and cost-effectiveness.

• Design and implement resource recovery processes from waste streams to enhance sustainability and value creation.

• Work closely with Sales, Marketing, and Operations teams to understand waste sources, identify treatment and recovery opportunities, support commercialization, and execute pilot trials.

• Identify, assess, and implement new technologies and processes, including collaboration with external partners (universities, research institutes, and technology providers).

• Establish and continuously improve laboratory capabilities, including process development and analytical methods to support R&D activities.

• Drive continuous improvement of existing operations through process optimization and introduction of alternative treatment methods.

• Ensure compliance with internal procedures, documentation standards, and all safety, health, and environmental requirements; maintain proper laboratory housekeeping.

• Support evaluation and development of handling procedures for high-risk and high-value waste streams.

• Contribute to new business development, including identifying opportunities, supporting new projects, and participating in facility planning and operations.

• Stay updated on industry trends and emerging technologies and proactively introduce relevant innovations into the company.

  
  

Job Requirements:

• Ph.D in Chemistry or Chemical Engineering with more than 5 years of experience in the area of specialty chemical manufacturing/applications, oil & gas or water treatment industry

• No colour blindness

  
  

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background

  
  

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

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/Research-Engineer-%28Development-of-Silicon-Photonics-Technology%29/32496-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Singapore Hybrid Integrated Next-Generation µ-Electronics (SHINE) research centre in National University of Singapore (NUS) is looking for applicants for a Research Engineer position in the area of Silicon photonic technologies.
The candidate will work closely with Researchers and Professor to
support the design, development, and evaluation of next-generation photonic systems. This includes translating simulated results into physical test vehicles and deriving insights through experimental work and data analysis.

Responsibilities will include:

1.    Conduct laboratory work involving simulation, fabrication, and characterization of photonic chips and devices.
2.    Basic data processing including analysis, correlation, troubleshooting, and presentation of experimental and simulation results.
3.    Conduct literature reviews to maintain awareness of recent advances in related photonic and interconnect technologies.
4.    Maintain accurate and detailed records of research activities, methodologies, and results.
5.    Collaborate with other engineers, scientists, and researchers to achieve project goals.
6.    Assist in equipment purchase, commissioning, and ownership.

Qualifications

•    A degree or higher degree in Electrical Engineering, Electronics, Physics, or related Science disciplines from a reputable University/Institute, or equivalent relevant experience. 
•    Passion in microelectronics or optoelectronics.
•    Candidate with experience in with Lumerical and/or Zemax simulation software is preferred.
•    Knowledge on programming skills (e.g. Python, MATLAB
•    Good communication skills, including scientific writing and presentation
•    Ability to work independently and collaborate within a diverse team.
•    Open to Fixed Term Contract.

Key Accountability:• Training Delivery Performance: End to end responsibility of training deliverables like throughput, certification, early production performance, etc.• Performance Management: Should have excellent knowledge of training deliverable, metrics data analytics. Knowledge/ Qualification: • Graduate • IATA / UFTA certification preferredSpecial Role Requirement:• Should be willing to work in 24*7 environment• Should be willing to work in non-weekend offs• Excellent working knowledge of all MS Office tools like Excel, PPT, etc. • Excellent written and verbal communications

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/Research-Engineer-%28Gen-AI%29/32622-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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/Research-Engineer-%28Gen-AI%29/32621-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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/Research-Engineer-%28Gen-AI%29/32619-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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/Research-Engineer-%28Gen-AI%29/32620-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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/Research-Engineer-%28Gen-AI%29/32618-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

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/Research-Engineer-%28Gen-AI%29/32616-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

The Research Assistant will lead a project on Waste-to-Resource technologies, with primary responsibility for the design, construction, and commissioning of a pilot-scale thermal waste treatment facility. This role contributes directly to the University’s mission of advancing impactful, applied research by developing and demonstrating sustainable waste management solutions that support resource recovery, environmental stewardship, and the transition to a circular economy.

Key Responsibilities:

• Lead technology screening and evaluation to identify suitable thermal treatment processes (e.g. gasification, pyrolysis, combustion) for diverse solid waste streams, including municipal solid waste.

• Contribute to the end-to-end planning, detailed design, installation, commissioning, and operation of a pilot-scale thermochemical waste treatment facility, including hands-on engineering and troubleshooting.

• Work closely with the Principal Investigator (PI) and Co-PIs to develop and implement risk assessments, standard operating procedures (SOPs), and safety protocols, ensuring compliance with applicable regulations for construction and operation of the pilot facility.

• Investigate and evaluate options for energy recovery and electricity generation from the thermal waste treatment process (e.g. syngas utilization, heat recovery systems, gas engine applications).

• Support the identification, characterization, and evaluation of value-added applications for solid residues generated from thermal treatment processes (e.g. biochar, pyrolysis char, ashes), including potential reuse pathways and performance assessment.

Job Requirements:

• Bachelor's in Chemical Engineering, Environmental Engineering or closely related field

• Relevant hands-on experience (academic, pilot-scale, or industrial) in thermal waste treatment, process engineering, or related fields is an advantage

• Familiarity with best practices in waste management and state-of-the art technologies for solid waste treatment

• Strong foundation in thermodynamics, including mass and energy balance calculations and process performance analysis

• Experience or demonstrated ability in designing, building, commissioning, and testing pilot or demonstration-scale systems

• Competence in data and information visualization, including process flow diagrams, technical presentations, and performance reporting

• Ability to work independently and develop practical engineering solutions under tight timelines

• Strong written and oral communication skills, with the ability to convey complex technical concepts clearly

• Ability to collaborate effectively within an international, multidisciplinary team and across different time zones

• Proven ability to build rapport, influence technical and non-technical stakeholders, and work effectively in a fast-paced environment

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

We are looking for a proactive Training & Development Executive to join our HR team. This is a dynamic, hands-on role where you will be the "face" of training for our frontline teams. You will spend approximately 70% of your time facilitating engaging workshops and providing in-store coaching, while dedicated 30% to the essential administrative and analytical reporting that keeps our 19 stores operating at excellence.

• Drive Holistic Onboarding: Coordinate and execute the onboarding journey for retail frontline staff and corporate executive-level new hires. You will partner with Operations Management to ensure the "Buddy System" is effectively implemented at the store level for seamless integration.

• Facilitation & Brand Excellence: Deliver engaging Service Excellence workshops and review corporate grooming standards with new hires to ensure our team consistently represents our premium brand.

• Manage Specialized Learning Portals: Serve as the primary point of contact for airport-specific training, including QSM registrations, the One Changi Learning portal, and managing Extra Miles Award matters for operations.

• Coordinate Mandatory Compliance: Oversee mandatory training sessions, including First Aid, Trade Compliance, and Security Compliance, ensuring all employees meet essential regulatory and industry requirements.

• In-Store Coaching: Regularly visit stores across Changi Airport terminals to provide real-time, constructive feedback on service standards and operational behaviors.

• L&D Operations & Process Improvement: Review and refine Learning & Development SOPs and processes for continuous improvement. You will also manage training-related financial administration, including Expenditure Proposals (EP) and payment requisitions to external providers.

• Data-Driven Reporting: Prepare comprehensive weekly and monthly HR reports for the L&D function, ensuring training effectiveness and participation are accurately tracked.

• Shape Company Culture: Review, propose, and execute Employee Engagement programs and activities that foster a positive and collaborative workplace culture.

• Ad-hoc Support: Assist with broader HR initiatives and general affairs projects as assigned by management.

Why you should be interested:

• The World's Leading Stage: Work at Changi Airport, an iconic global landmark ranked as the world's best airport for 14 years. You will be part of the excellence that defines this world-class travel hub.
• Diverse Scope of Impact: From onboarding corporate executives to coaching frontline staff, your work touches every level of our Singapore operations.
• Strategic Contribution: Beyond delivery, you will have a seat at the table in improving L&D processes and shaping our employee engagement strategy.
• Global Brand Visibility: Work closely with HR leadership in a high-visibility role within a global brand environment, offering significant variety and professional challenge.

Requirements:

• Degree or diploma in Human Resources, Training & Development, or related field.
• Demonstrated Facilitation Experience: Proven ability to lead workshops and engage diverse learners, ideally within a retail, F&B, or high-touch service environment.
• Strong Administrative & Reporting Skills: High proficiency in Microsoft Excel and the discipline to manage meticulous training records and financial documentation.
• Proactive & Detail-Oriented: Ability to review processes/SOPs and identify opportunities for improvement.
• Communication Skills: Excellent verbal and written English to effectively partner with operations management and corporate stakeholders.
• comfortable coming into contact with Liquor & Tobacco products during the course of trainings and coaching.
•  Analytical and details oriented

Preferred/Bonus Requirements:

• Experience within Travel Retail or a high-volume airport ecosystem.
• Familiarity with SkillsFuture Singapore (SSG) or WSG training grant applications.
• Prior experience managing employee engagement activities or corporate onboarding.

At Knight Frank, we are leaders in real estate advisory services, driven by our commitment to delivering exceptional property and facilities management services. Our success is built on the expertise of our people, and we strive to create a culture where innovation, teamwork, and a client-first approach are at the forefront of everything we do.

We believe that our people are our greatest strength. We seek passionate, dynamic, and motivated professionals to join our team and contribute to the seamless operation and management of world-class properties. Whether you are starting your career or a seasoned professional, we offer the opportunity to grow and thrive in a collaborative and progressive work environment.

Be part of a company that values continuous learning, career development, and a relentless commitment to excellence. If you’re ready to make a meaningful impact in the world of property and facilities management, we invite you to explore our exciting opportunities.

About the role:

As a Learning & Development (L&D) Executive, you will play a key role in supporting the administration and execution of learning and development programs across the organisation. You will assist in ensuring that training records are well-maintained and up-to-date, and engage frequently with our staff and external training providers to meet the company’s learning needs. This role is perfect for someone who’s passionate about people development, highly detail-oriented, and eager to learn and grow with our colleagues.

What you will be doing:

• Oversee the administration of course registration, certification processes, training subsidies, and payment management.
• Maintain comprehensive training records and evaluate the effectiveness of training programs to ensure they support present and future organizational goals
• Conduct regular reviews and update internal and external training courses to ensure relevance and alignment with business goals.
• Partner with management and business leaders to assess and identify training needs across the organization.
• Source, evaluate, and collaborate with external training providers to design and deliver tailored learning solutions.
• Manage and communicate the organization’s training calendar, course offerings, Standard Operating Procedures (SOP), and training policies.
• Lead and manage mentorship programs and other internal development initiatives to foster continuous learning.

What we’re looking for someone who’s:

• At least 3 years of experience in Learning & Development.
• Preferred qualifications include Advanced Certificate in Training and Assessment (ACTA) or Advanced Certificate in Learning and Performance (ACLP).
• A Diploma or higher qualification in Human Resource Management.

Why Knight Frank?

• Lots of opportunities for growth and career development.
• A supportive, collaborative team that values what you bring to the table.
• Continuous learning and development to help you advance.

If you’re ready to make an impact and grow your career in property management, we’d love to hear from you!

The Workplace Safety & Health (WSH) Management Representative is responsible for overseeing the implementation and maintenance, ensuring compliance with regulatory and accreditation requirements (e.g. MOM, WSHC, SSG, ISO standards), including adult educator management and courseware development.

This role bridges WSH governance, training quality assurance, and operational compliance within RTP.

Key Responsibilities

1. WSH Governance & Compliance

• Implement, maintain, and continuously improve the organisation’s WSH Management System and in accordance ISO 29993 standard 
• Ensure compliance with:
• Workplace Safety and Health Act Coucil
• Ministry of Manpower
• ISO standards
• SkillsFuture Singapore
• Plan and conduct internal nspections, and management reviews
• Maintain proper documentation for audit readiness and regulatory submissions

2. Adult Educator / Trainer Management

• Recruit of adult educators 
• Ensure adult educator meet required certifications (e.g. ACLP/ACTA, domain qualifications)
• Monitor adult educators’ performance, conduct evaluations, and provide feedback
• Ensure adult educators adhere to:

• Code of conduct

3. Courseware Development & Quality

• Develop, review, and update:
• Learner guides
• Trainer guides
• Assessment materials and tools
• Ensure courseware alignment with:
• WSQ competency standards
• Industry best practices and regulatory requirements
• Implement version control and maintain proper documentation for audits
• Work with subject matter experts (SMEs) to enhance course content and delivery

4. WSH Training & Briefing

• Conduct or support delivery of WSH-related training, briefings, and workshops
• Promote WSH awareness and safety culture within the organisation and training environment
• Ensure training facilities and practical areas comply with safety requirements

5. Risk Management & Incident Handling

• Conduct risk assessments and workplace inspections
• Investigate incidents, accidents, and non-compliances
• Recommend and implement corrective and preventive actions
• Monitor and report WSH performance indicators

6. Stakeholder Management

• Liaise with internal and external stakeholders, including:
• Trainers and staff
• Learners and corporate clients
• Regulatory bodies (e.g. SSG, MOM)
• Handle feedback, complaints, and audit queries professionally
  

Job Requirements

Qualifications & Certifications

• ACTA / ACLP certification 
• DACE / DDDLP certification
• Diploma or Degree in Workplace Safety & Health, Engineering, or related field (preferred)
• Certified WSH Officer (WSHO) or equivalent 
• Any other relevant certificates

Experience

• At least 2–5 years of relevant experience in:
• WSH management and compliance
• Training operations within RTP or education environment
• courseware development or adult educator management
• Experience in WSQ framework, SSG / MOM / WSHC / ISO audits, and funding requirements is an advantage

Skills & Competencies

• Strong knowledge of WSH regulations and compliance frameworks
• Familiarity with WSQ, SSG systems, and Training Management Systems (TMS)
• Good organisational and documentation skills
• Strong communication and stakeholder management abilities
• Ability to manage multiple functions (adult educator management, compliance, training quality)

Position Overview:

We are seeking an experienced Trainer (Retail & Development) to join our team. In this full-time position, you will be responsible for designing and delivering comprehensive training programs to upskill our retail staff, ensuring they are equipped with the knowledge and skills to provide exceptional customer service and drive sales.

What you'll be doing

• Developing and facilitating engaging training sessions on product knowledge, sales techniques, customer service, and other relevant retail topics
• Identifying training needs and designing customized programs to address skill gaps
• Facilitate in-store training sessions on weekdays during retail hours
• Monitoring and evaluating the effectiveness of training initiatives, making adjustments as necessary
• Providing one-on-one coaching and mentoring to support the professional development of retail staff
• Collaborate with the HR and Operations teams to identify training needs and design customized modules.
• Collaborating with the management team to align training with the company's strategic objectives
• Monitor training effectiveness through feedback and KPIs to refine future programs.
• Maintaining training records and providing progress reports

What we're looking for:

• Relevant qualification in a field such as Education, Human Resources, or Business
• Minimum 3 years of experience as a Trainer or L&D professional, preferably in the retail industry
• Excellent facilitation and presentation skills, with the ability to engage and motivate adult learners
• Strong understanding of adult learning principles and the ability to design effective training programs
• Proficient in data analysis and using metrics to measure training impact
• Excellent communication and interpersonal skills, with the ability to build rapport with employees at all levels
• Passion for learning and development, with a commitment to continuous improvement