We are seeking a dynamic and strategic Learning & Development Manager to drive a strong learning culture and build organisational capability within a luxury hospitality environment.

This role partners closely with business leaders to design impactful development programmes, strengthen succession pipelines, and attract future hospitality talent.

Key Responsibilities

• Develop and execute the annual Learning & Development strategy aligned with business goals.

• Identify competency gaps and design targeted training programmes to enhance performance and leadership capability.

• Manage the training budget and optimise government funding initiatives.

• Oversee corporate training, in-house WSQ programmes, brand training, and e-learning platforms.

• Ensure completion of mandatory training and regulatory compliance requirements.

• Lead internship, traineeship, and management trainee programmes in partnership with educational institutions.

• Act as liaison with government agencies on training grants, audits, and accreditation matters.

• Drive colleague engagement initiatives, including the annual engagement survey and service excellence programmes.

Requirements

• Degree or Diploma in HR, Hospitality, Organisational Development, or related discipline.

• Minimum 5 years of relevant experience in Learning & Development, preferably in hospitality.

• ACTA / Certified Train-the-Trainer accreditation preferred.

• Strong knowledge of WSQ framework and government-funded training schemes.

• Proven ability to design, facilitate, and evaluate impactful learning programmes.

• Strong stakeholder management, communication, and organisational skills.

Our commitment to Diversity & Inclusion:

We are an inclusive company and what we really hope to achieve is to attract, recruit and promote diverse talent.

Why work for Accor?

We are far more than a worldwide leader. We welcome you as you are and you can find a job and brand that matches your personality. We support you to grow and learn every day, making sure that work brings purpose to your life, so that during your journey with us, you can continue to explore Accor’s limitless possibilities.

By joining Accor, every chapter of your story is yours to write and together we can imagine tomorrow's hospitality.

Do what you love, care for the world, dare to challenge the status quo! #BELIMITLESS

Overview:
We are looking for a motivated and enthusiastic Learning and Development Intern to join our HR team. This is an excellent opportunity for someone looking to gain hands-on experience in the field of employee training, development programs, and talent management. As an intern, you will support the L&D team in organizing, executing, and improving training and development initiatives.

Key Responsibilities:

• Assist in coordinating and organizing training sessions, workshops, and seminars.
• Help prepare training materials and resources for various programs.
• Support in scheduling training events and communicating with employees regarding session details.
• Monitor and track employee attendance for training programs.
• Gather feedback from participants and assist in evaluating the effectiveness of training programs.
• Maintain and update the L&D database, records, and materials.
• Help research industry trends and best practices in employee learning and development.
• Support the team in administrative tasks related to learning and development initiatives.
• Assist in developing reports and presentations on training activities and results.

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

Job Purpose 

The Research Fellow will lead the development of a Surface-Enhanced Raman Spectroscopy (SERS) biosensor platform for rapid detection of microbial bioburden in biopharmaceutical cleaning validation processes.  The role involves aptamer discovery, nanomaterial-based SERS sensor development, and integration with microfluidic systems for real-time monitoring of cleaning validation washout fluids. Opportunities to contribute to patent filings, translational research, and commercialization pathways will be available.

Key Responsibilities

Technical Responsibilities

• Design and screen high-affinity ssDNA aptamers targeting environmental microorganisms listed in the US Pharmacopeia.
• Develop nanoparticle-based SERS substrates (Ag/Au nanoclusters) for enhanced Raman signal detection.
• Design and fabricate microfluidic sensing interfaces for continuous monitoring of cleaning validation fluids.
• Perform sensor validation using Raman spectroscopy, microbial cultures, and cleaning validation samples.
• Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. 

Research & Project Responsibilities

• Plan and execute experimental workflows to achieve project milestones.
• Lead prototype development and performance optimization of the SERS biosensor system.
• Communicate research outcomes through technical reports, conference presentations, and scientific publications.
• Collaborate with industry partners and interdisciplinary research teams where applicable. 

Operational Responsibilities

• Conduct risk assessments and ensure compliance with Work Safety and Health (WSH) regulations.
• Manage procurement of specialized equipment and research consumables. 

Mentorship

• Mentor research engineers, graduate students, and undergraduate researchers.
• Contribute to training activities within the research group.

Others

• To communicate in any relevant internal or external stakeholders to ensure project deliverables are met.
• Any ad-hoc duties assigned by Supervisor. 

Job Requirements

Essential

• PhD in Bioengineering, Chemical Engineering, Materials Science, Nanotechnology, Analytical Chemistry, or related fields.
• Strong publication record in biosensors, nanomaterials, Raman spectroscopy, or microfluidics.
• Demonstrated experience in nanoparticle-based biosensor development or SERS sensing platforms.
• Proficiency in CAD software (e.g., SolidWorks) for microfluidic device design.
• Experience with Raman spectroscopy instrumentation and spectral data analysis. 

Preferred

• Experience in microfluidic chip fabrication (soft lithography, PDMS, or micro-machining).
• Experience with aptamer selection or molecular recognition elements.
• Experience applying machine learning to spectral data (Raman, LC–MS, or similar).
• Experience working on translational or industry-linked research projects.

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

Key Responsibilities

• Participate in and manage research projects with the Principal Investigator (PI), Co-PI and research team members to ensure all project deliverables are met.
• Support research activities in one or more of the following areas:
  i. Advanced welding and automation technologies for steel fabrication and construction
  ii. Experimental investigation of high-strength aluminium alloy structures
  iii. Development and testing of lightweight and long-span earth retaining and stabilising structures
  iv. AI-enabled structural analysis, optimisation and design tools for high-efficiency, low-carbon composite building systems
• Plan and conduct experimental work, including but not limited to:
  i. Material and component testing
  ii. Structural behaviour testing of steel and aluminium members/connections
  iii. Fabrication trials and validation of welded structural components
  iv. Data acquisition, instrumentation and monitoring during laboratory testing
• Perform numerical modelling and simulation, such as finite element modelling, parametric studies, and calibration against test data.
• Analyse experimental and numerical results, and prepare technical reports, presentations and publications.
• Assist in the development of design methodologies, engineering recommendations, and data-driven or AI-enhanced workflows for structural applications.
• Coordinate procurement, laboratory set-up, testing schedules, and liaison with vendors/suppliers and industry collaborators.
• Communicate with relevant internal and external stakeholders to ensure project deliverables and milestones are achieved.
• Carry out risk assessment and ensure compliance with Work, Safety and Health regulations.
• Work independently, as well as within a multidisciplinary team, to ensure proper operation and maintenance of equipment and research facilities.
• Support grant reporting, project documentation, intellectual property development, and other ad hoc duties as assigned.
• To communicate in any relevant internal or external stakeholders to ensure project deliverables are met.
• Any ad-hoc duties assigned by Supervisor.

Job Requirements

• Master’s degree in Civil Engineering, Structural Engineering, Mechanical Engineering, Materials Engineering, or a related discipline.
• Demonstrated knowledge in at least one of the following areas:
• Structural steel or aluminium structures
• Welding, fabrication, or construction automation
• Experimental structural testing and instrumentation
• Numerical modelling and simulation
• AI/data-driven methods for engineering applications
• Familiarity with engineering software such as ABAQUS, ETABS, MATLAB, Python, or equivalent will be an advantage.
• Prior experience in laboratory testing, data analysis, or industry-related engineering projects will be an advantage.

Key Competencies

• Ability to build and maintain strong working relationships with internal and external stakeholders.
• A self-directed learner with a strong commitment to continuous learning and professional development.
• Strong technical writing and presentation skills.
• Excellent analytical and critical thinking abilities.
• High level of initiative, responsibility, and ownership of work.
• Ability to work effectively both independently and within multidisciplinary research teams.
• Good project coordination and time management skills.
• Strong interest in applied research with industry relevance and real-world impact.

Job Title

Robotics Engineer (Learning-Based Manipulation)

Role Overview

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have opportunities to tackle real-world, industry-relevant problems, working alongside faculty members and professional officers.

The SIT Centre for Intelligent Robotics (CIR) is an applied research centre responsible for developing and maintaining core applied robotics and embodied AI capabilities for real-world deployment. CIR is seeking a Robotics Engineer to implement state-of-the-art learning-based robotic manipulation methods on physical platforms for industry-driven applications, with an emphasis on contact-rich manipulation, robustness, and safe operation. The successful candidate will work closely with physical robots to translate recent advances in learning-based robotics into reliable, deployable systems.

Key Responsibilities

• Implement, adapt, and evaluate state-of-the-art learning-based methods (e.g. imitation learning) for contact-rich robotic manipulation.
• Integrate hardware and software components into a functional system for real-world deployment.
• Design and execute field trials (test protocols, data logging, troubleshooting, reliability improvements).
• Produce technical documentation, reports, and implementation guides to support knowledge transfer and maintainability.
• Support project procurement activities (e.g., technical specifications, vendor evaluation, quotations) for robotics hardware, sensors, and compute resources.
• Contribute to publications and technical notes to disseminate research outcomes.
• To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met.
• Any other ad-hoc duties assigned by supervisor.

Requirements

• Bachelor’s degree or higher in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related field.
• Experience in imitation learning and reinforcement learning for robotics applications.
• Hands-on familiarity with robotic manipulators and motion planning.
• Proficiency in deep learning frameworks such as PyTorch or TensorFlow.
• Experience with ROS / ROS 2 for real-robot software integration.
• Proficiency in Python and C++, with good software engineering practices (version control, testing, maintainable code).
• Familiarity with robotics simulation tools such as Gazebo, Isaac Sim, or MuJoCo.
• At least 2 years of experience in robotics research or industry projects.

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

The primary responsibility of this role is to deliver an industry innovation research project as part of a research team developing molecular and sequencing workflows for microbial characterization. The work supports the rapid detection of microbial bioburden in biopharmaceutical cleaning validation using a Surface-Enhanced Raman Spectroscopy (SERS) biosensor platform. Responsibilities include next-generation sequencing (NGS), qPCR-based molecular assays for microbial quantification and aptamer validation, and experimental support for aptamer discovery targeting environmental microorganisms listed in the US Pharmacopeia.

Key Responsibilities

Technical Responsibilities

• Perform microbial community characterization using next-generation sequencing (NGS) platforms such as Illumina sequencing or Oxford Nanopore sequencing. 
• Design and perform qPCR-based molecular assays for microbial quantification and aptamer validation.
• Prepare DNA sequencing libraries, including nucleic acid extraction, amplification, and library preparation. 
• Conduct basic bioinformatics processing of sequencing data, including sequence quality control and taxonomic profiling where required.
• Support aptamer discovery and validation experiments, including nucleic acid preparation, amplification, and molecular characterization.
• Perform routine molecular biology techniques such as PCR, gel electrophoresis, DNA purification, and nucleic acid quantification.
• Maintain accurate laboratory records and experimental documentation.

Research & Project Responsibilities

• Plan and execute experimental workflows to support project milestones related to microbial detection and biosensor development.
• Contribute to sequencing-based microbial profiling of environmental and cleaning validation samples.
• Work collaboratively with project investigators and interdisciplinary teams to integrate sequencing and molecular biology results with biosensor development.
• Prepare technical reports and contribute to scientific publications, presentations, and project documentation.
• Support generation of experimental data required for project validation and milestone reporting. Operational Responsibilities
• Ensure laboratory compliance with Work Safety and Health (WSH) regulations and institutional safety guidelines.
• Manage procurement and inventory of molecular biology and sequencing consumables.
• Maintain laboratory equipment used for molecular biology and sequencing workflows. Mentorship
• Support training of junior researchers, research assistants, and students where required. 
• Contribute to knowledge sharing within the research group.
• To communicate in any relevant internal or external stakeholders to ensure project deliverables are met.
• Any ad-hoc duties assigned by Supervisor.

Job Requirements

Essential

• Bachelor’s degree in Molecular Biology, Microbiology, Biotechnology, Bioengineering, or a related field. Possessing a Master’s or PhD degree will be advantageous
• Hands-on experience with next-generation sequencing technologies, such as Illumina or Oxford Nanopore sequencing platforms including sequencing library preparation
• Demonstrated experience working with environmental or low-biomass microbial samples.
• Demonstrated experience with DNA extraction and PCR amplification
• Demonstrated experience performing qPCR assays for nucleic acid quantification and molecular analysis, including troubleshooting
• Demonstrated experience with aptamer technologies or nucleic acid-based molecular recognition systems.
• Strong laboratory skills in molecular biology techniques.

Preferred 

• Familiarity with microbial community sequencing workflows such as 16S rRNA sequencing or metagenomic analysis.
• Demonstrated experience with bioinformatics tools for sequencing data processing (e.g., quality control, taxonomic classification, microbial community analysis). 
• Demonstrated experience working in interdisciplinary or industry-linked research projects.

Key Competencies

• Strong experimental design and troubleshooting skills in molecular biology. 
• Ability to independently conduct laboratory experiments and manage datasets.
• Strong scientific communication skills, including technical reporting and presentations.
• Ability to collaborate effectively with multidisciplinary research teams.
• Good organizational and project management skills.

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

Key Responsibilities

• Participate in and manage the research project with the Principal Investigator (PI), co-PIs, research team and industry partners to ensure all project deliverables are met.
• Conduct insights-driven evaluations of existing QA/QC testing practices and identify opportunities to enhance efficiency and reduce redundant testing while maintaining compliance.
• Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability.
• Design and implement a digital chain-of-custody framework that captures assurance records including mill certificates, fabrication data, inspection results and carbon footprint information.
• Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records.
• Develop a cloud-based verification platform for digital data collection and real-time analytics.
• Develop and apply non-destructive testing (NDT) methods and data-driven approaches to determine material properties of reclaimed steel.
• Investigate geometric imperfections, accumulated deformations, and their impact on structural performance, particularly for compression members.
• Develop data-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems.
• Prepare and draft technical reports, conference/journal papers, and presentation materials; present research findings to internal reviews, industry partners and stakeholders.
• Engage with industry stakeholders throughout development, testing and refinement to ensure alignment with real-world requirements.
• To communicate in any relevant internal or external stakeholders to ensure project deliverables are met.
• Any ad-hoc duties assigned by Supervisor.

Job Requirements

• Master’s degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems or equivalent.
• Strong foundation in data engineering, AI/ML development, and software systems (e.g., data pipelines, cloud services, dashboards, web-based application development).
• Experience in handling real-world datasets and model development/deployment workflows.
• Domain expertise in building construction/civil/structural engineering, including familiarity with building management systems, software integration, data collection and analysis.
• Knowledge of construction QA/QC and quality control workflows (e.g., inspection processes, test documentation, traceability and compliance records) is an advantage.
• Strong background in structural engineering, structural mechanics, or steel structures.
• Familiarity with non-destructive testing (NDT) techniques for structural materials is desirable.
• Experience with structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable.
• Good interpersonal, written and verbal communication skills, with the ability to work independently and in multidisciplinary teams.
• Strong analytical and conceptual abilities; able to work both in a team and independently.
• Able to work under pressure and meet deadlines.

Key Competencies

• Proficient in Python or other equivalent programming languages.
• Strong foundation in data analytics and data-driven modelling.
• Able to build and maintain strong working relationships with people within and external to the university.
• Able to work independently with strong data analytical skills, communication and interpersonal skills.
• Self-directed learner who believes in continuous learning and development.
• Proficient in technical writing and presentation.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

Our client is a leading player in construction industry. They are looking for a Learning & Development Executive to join their HR Team, in hopes of developing the current high performing team. They are located in the North area.

Duties of Learning & Development Executive:

• Identify learning needs and develop training plans with business units.

• Manage end-to-end L&D activities, including coordination, evaluation, grants, and vendor payments.

• Analyse training data to support decision-making.

• Support succession planning and talent development initiatives.

• Oversee internships, attachments, scholarships, and onboarding programmes.

• Ensure compliance for training grants and maintain accurate training records.

• Handle training-related audits, surveys, and ad hoc HR projects.

Requirements:

• Diploma / Degree in Human Resource Management or related

• Min 2 - 3 years experience of training administration/ L&D experience

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.

We regret that only shortlisted candidates will be notified.

Email Address: jobs@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

Our Client is a Social Service Agency that provides comprehensive and professional eldercare services to the aged.  

Scope of Work

Training Administration & Coordination

·      Collate course nominations, process training applications, confirm schedules with internal and external stakeholders, and send course invitations and confirmations.

·      Track attendance, handle trainee enquiries, and follow up on post-training submissions (e.g. feedback forms, assessments, certificate uploads).

·      Maintain and update staff learning history and training records in the Learning Management System (LMS).

·      Monitor certification expiry dates and refresher timelines (e.g. BCLS-AED) and coordinate refresher training where applicable.

·      Submit Continuing Professional Education (CPE) claims for trained nursing staff (e.g. Staff Nurses and Enrolled Nurses) via the Singapore Nursing Board (SNB) Portal.

·      Prepare and circulate minutes of training-related meetings.

Training Operations & Logistics

·      Prepare in-house training venues, arrange and test audio-visual equipment (e.g. projectors, computers), and coordinate meals and tea breaks with the in-house kitchen.

·      Prepare, photocopy, bind, and pack physical training materials, handouts, and certificates.

Finance & Reporting

·      Raise payment requests for course fees, manage invoices, monitor training expenditure, and process employee reimbursement claims.

·      Prepare monthly training and utilisation reports.

Documentation & Systems Support

·       Support updates and maintenance of training templates, forms, and administrative documentation.

Requirements

·      Proficiency in MS Office: Strong skills in Excel, Word, and PowerPoint.

·      Organizational Skills: Meticulous, detailed-oriented, and capable of managing multiple tasks under pressure.

·      Communication: Effective verbal and written communication skills for interacting with trainers, employees, and external vendors.

·      Experience:  Diploma/Higher NITEC with 3 years of experience in training support

If you are keen to know more about this role, please email Mary at marymarquez@rmagroup.com.sg and send your resume in MS Word format. Note that only shortlisted candidates will be contacted.

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to RMA Group’s PDPA and e2i’s PDPA.

Mary Marquez (EA Regn No: R1326974)
RMA Consultants Pte Ltd (EA Licence No: 93C4403)

We have a job opening for a Research Fellow position at the Bio-inspired Robotics and Design Laboratory
(https://brd.sutd.edu.sg) at SUTD.

The roles:
The Research Fellow will support fundamental and applied research in dexterous manipulation and graspingby developing novel data based modeling tools for soft and hybrid mechanisms, actuation, and sensing technologies for next-generation grasping and manipulation in both harsh and delicate environments. Simulations will be used to optimize dynamics behavior of metamaterial-based grasping mechanisms.
We are looking for researchers with a passion for design and innovation and keen to work with a multi-disciplinary
team.

Responsibilities:
• Modeling and Simulation for a variety of industrial grasping applications• Machine learning and reinforcement learning for manipulation and grasping

Key requirements:
• Ph.D. degree in Mechanical Engineering, Robotics, or related fields• Experience with simulation tools such as FLUENT, ICEM CFD, ABAQUS
• Experience with SolidWorks & ANSYS
• Proficiency in Programming languages: Python, MATLAB, pytorch, C++

We're looking for an enthusiastic and detail-oriented Learning & Development Coordinator to join our team in Visakhapatnam, India. In this role, you'll play a vital part in designing, implementing, and evaluating training and development programs that drive organizational growth and employee success. You'll work collaboratively across departments to identify training needs, source quality programs, and ensure our workforce is equipped with the skills and knowledge needed to excel. This is an excellent opportunity for someone passionate about fostering a culture of continuous learning and development.

• Design, implement, and evaluate training and development programs based on comprehensive Training Needs Analysis (TNA) conducted across departments
• Collaborate with professional bodies, training institutions, and external consultants to source, customize, and develop appropriate training programs
• Coordinate with all departments to prepare for Human Resources Management Operations Reviews and conduct self-audits for the Training Department
• Manage and monitor the Training Department's operational budget, ensuring strict cost control and adherence to financial guidelines
• Develop and support employees to maximize their potential and efficiency, while monitoring performance against current training philosophies and methodologies
• Maintain and manage an up-to-date Training Resources Center equipped with modern training facilities and materials
• Ensure the security and proper maintenance of all training facilities, equipment, and materials
• Assist the executive leadership in identifying and prioritizing training needs within each department
• Respond proactively to changes in Human Resources functions driven by industry trends, company strategy, or organizational needs
• Oversee the training and development of departmental trainers, ensuring they meet established quotas and maintain high performance standards
• Conduct regular audits, evaluations, and provide constructive feedback to departmental trainers on their performance and effectiveness
• Initiate and implement motivational programs to engage and recognize departmental trainers for their contributions
• Schedule and facilitate regular meetings with departmental trainers and their managers to discuss training matters and align on objectives
• Ensure departmental trainers submit and conduct monthly training schedules, maintaining transparency and accountability
• Utilize Learning Management Systems (LMS) and other training software to track program delivery, participant progress, and training outcomes

As Singapore’s University for Industry, SIT works closely with industry partners in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this position is to deliver on a research project to develop an End-to-end misinformation and disinformation protection, awareness and mitigation pipeline. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research on: LLM/VLM, media comparison, AI-assisted explainability. The need is for a real-time system, so efficient coding is important.

Key Responsibilities:
• Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met. 
• Undertake research within your domain, including keeping track of state-of-the-art work. Develop the code, evaluate and test. Write academic publications.
• Deliver solution-ready demonstration code.
• Interact well within the team and the customers.
• Be self-directed to fulfil the project requirements.

Job Requirements:
• Competence in working with languages such as C along with  Python-based coding and AI development.
• Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous.
• Knowledge of machine learning, pytorch, huggingface etc...
• Knowledge of image processing is required.
• Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI.
• Experience of authoring good quality academic publications.
• Manage undergraduate research assistants (if appropriate).
• Liaise with customers and collaborators in A*STAR and NTU, as well as collaborators in the UK and China.

Key Competencies:
• A self-directed worker who believes in continuous learning and development
• Proficient in academic writing 
• Possess good critical thinking skills
• Show strong initiative and take ownership of work
• Interest in AI, machine learning, image/audio processing

Our client is a leading player in construction industry. They are looking for a Learning & Development Executive to join their HR Team, in hopes of developing the current high performing team. They are located in the North area.

Duties of Learning & Development Executive:

• Identify learning needs and develop training plans with business units.

• Manage end-to-end L&D activities, including coordination, evaluation, grants, and vendor payments.

• Analyse training data to support decision-making.

• Support succession planning and talent development initiatives.

• Oversee internships, attachments, scholarships, and onboarding programmes.

• Ensure compliance for training grants and maintain accurate training records.

• Handle training-related audits, surveys, and ad hoc HR projects.

Requirements:

• Diploma / Degree in Human Resource Management or related

• Min 2 - 3 years experience of training administration/ L&D experience

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.

We regret that only shortlisted candidates will be notified.

Email Address: jobs@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)