Total 6 Education / Training job vacancies in remote central singapore

1. Training Program Strategy and Development

• Develop and implement a comprehensive global training strategy aligned with business objectives.
• Design and oversee the development of training programs for various departments, including GMP, quality, regulatory etc.
• Ensure training materials are up-to-date, engaging, and compliant with regulatory requirements.
• Implement innovative training methodologies, including e-learning, virtual reality, and blended learning approaches.
• Select and manage external training vendors and consultants.
• Ensure external training solutions meet company standards and regulatory requirements.

2. Regulatory Compliance

• Ensure all training programs meet GxP requirements and other relevant regulations
• Stay informed about industry trends and regulatory changes affecting pharmaceutical training
• Participate in regulatory inspections and audits related to training

3. Quality Management

• Integrate training initiatives with the company's quality management system
• Develop and maintain SOPs related to training processes
• Implement quality metrics to measure the effectiveness of training programs

4. Learning Management System (LMS) Oversight

• Oversee the implementation and management of the company's LMS
• Ensure proper documentation and tracking of all training activities
• Utilize LMS data to generate reports and analytics for continuous improvement

5. Cross-functional Collaboration

• Collaborate with leadership team to identify and address organizational training needs
• Work closely with Quality Assurance, Regulatory Affairs, Human Resources, and other departments to align training initiatives
• Collaborate with subject matter experts to develop technically accurate training content

6. Budget and Resource Management

• Manage the training department budget
• Lead and mentor a team of training management quality professionals across multiple sites
• Allocate resources effectively across global training initiatives

7. Continuous Improvement

• Regularly assess the effectiveness of training programs and implement improvements
• Stay updated on adult learning theories and innovative training technologies
• Establish forums for knowledge sharing and best practice exchange across global sites

ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Machine Learning Project Manager

We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target

Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise

Responsibilities

Drive End-to-End Project Delivery  

• In charge of end-to-end project development lifecycle(s):
• Gather user requirements from the client
• Scope the project in terms of technical requirements, product specifications, deliverables, performance SLAs and timelines
• Plan project milestones and resources required
• Provide cost estimates for budget approval
• Lead development sprint cycles to schedule and monitor:
• Data collection, annotation and pre-processing activities  
• Model training and iterative improvement activities
• Model performance validation activities
• SDK integration activities 
• Quality assurance checks activities 
• Draft project SOPs (Standard Operating Procedures)
• Draft release notes
• Lead and coach the development team to achieve successful outcomes 
• Manage project scope and schedule
• Oversee internal cost control
• Ensure quality assurance across the project deliverables 
• Oversee Issue and Risk Management
• Evaluation, scoping, and impact assessment (timelines, budget) for Change Requests
• Provide timely escalations and propose suitable mitigation actions to the Product Owner

Collaborate with Functional Teams to Support Project Outcomes

• Work closely with the Data Science and Engineering teams to schedule and action the project activities
• Partner with the Finance and Legal team to ensure timely follow-ups with contractual and financial matters
• Partner with the HR team for staffing requirements
• Manage third-party vendor(s) to ensure timely delivery of services as per project timeline

Act as ViSenze’s Point of Contact with Client(s)

• Cultivate strong relationships with client(s) and client partner(s), actively engaging them to align project outcomes, deliverables, and implementation plans
• Provide advice and support to the client

Good to Have

• Hands-on experience in data science projects
• Hands-on experience in image data processing or computer vision projects

• Bachelor Degree in Computer Science, Electrical Engineering or a related technical discipline
• At least 2 years of client-facing project/program management experience in AI/ML specific projects
• Understanding of machine learning and data science knowledge
• Process strong interpersonal, communication, analytical and data-driven problem solving skills
• Able to work independently with minimum supervision

At Duke Corporate Education, we empower leaders at all levels to be catalysts of change in their organizations and, ultimately, in society. By designing and delivering best in class advisory, leadership development and change management programs, we accelerate business leaders and their teams to build for the future. Our global team have an enviable track record of delivering some of the most scaled, impactful and innovative learning programs and leadership interventions in the world. With delivery in over 85 countries, we partner with clients to co-create the right solution for any level of leadership. Together, we transform leaders and business, creating sustainable impact at scale and speed.  

We are seeking a motivated Project Director to join our team in Singapore, to play a key role in developing and driving leadership development solutions for our clients. Our entrepreneurial environment will offer you significant opportunities for personal and professional development, and the freedom to excel. 

This role is office based and requires regular travel to client sites.

Responsibilities

Key responsibilities include:

• Translate client needs into impactful learning solutions.
• Produce and manage actionable project plans and drive progress towards deliverables.
• Manage project budget, contract, and timelines to ensure successful project completion.
• Build strong relationships with clients at senior levels, including multinational FTSE 500 organizations.
• Collaborate with internal and external stakeholders to ensure project progress and quality standards are met.
• Lead project teams, providing feedback, guidance, and support to ensure project milestones and goals are met.
• Prepare and deliver status updates and presentations to clients and internal teams.
• Identify, track, and communicate project risks and issues to drive resolution.
• Compile and analyze data to evaluate project performance.

• Experience in learning & development program design (preferably for Leadership Development) or consulting in a people related field

• Minimum 4 years of experience in project management. PM qualification preferred.
• Bachelor's degree in business or related field required.
• Strong communication and interpersonal skills, with a proven ability to build and maintain relationships with key stakeholders.
• Resilient and adaptable, comfortable working in a changing environment.
• Ability to lead, motivate, and influence project team members to drive success.
• Strong analytical and problem-solving skills.
• Demonstrated ability to manage multiple projects simultaneously.
• Experience with project management software and tools required.
• Must be able to travel regularly.

Duke CE is an equal opportunities employer and invites all applicants who meet the requirements to apply.

The incumbent drives the development and implementation of skills and training solutions and interventions to achieve business growth and transformation for the network of Small, Medium Enterprises (SMEs) within the SkillsFuture Queen Bee’s value-chain. The secondary role is to support the Assistant Director of Learning & Development in the facilitation of the learning and development functions for the hotel, ensuring that the goals are aligned to the hotel’s overall goals and strategic plan as well as for all operational departments to follow through on their training and development commitments.

Primary Responsibilities

Driving and Managing the SkillsFuture Queen Bee Project

• Strategises, drives and manages the SkillsFuture Queen bee project (SFQB).
• Develops programmes and facilitates implementation for the SMEs in Singapore.
• Conducts trainings and ensure deliverables are met.
• Source for SMEs to embark on the  programme with us.
• Meet the deliverables as required by Workforce Singapore.
• Leads research on industry landscape and market trends, including liaising with various stakeholder within the SFQB network to understand critical skills requirements, project future skills demand and business objectives.
• Diagnoses the skills gaps and needs and identify measurements of success of the network.
• Formulates a training needs analysis plan by identifying skills and training opportunities, reviewing existing skills and training solutions and interventions, sourcing for new and/or developing bespoke skills and training solutions and interventions to address the SMEs’ needs.
• Leverages Skills Frameworks and relevant SkillsFuture resources in creating the skills and training solutions and interventions.
• Develops an implementation plan and organises the participation of SMEs in the network.
• Manages and fosters relationships with multiple stakeholders in the network to ensure effective and sustainable implementation.
• Evaluates the impact and effectiveness of the skills and training solutions and interventions and fine-tunes the long-term implementation plan.

Adheres to Corporate and Local L&D Regulations

• Ensures full compliance when managing and executing corporate initiated programmes and activities.
• Ensures that all learning activities meet with relevant statutory and organisational policies and requirements.
• Adheres to learning requirements set by local authorities and regulations, especially relating to safety and security.

Secondary Responsibilities

• Plans and conducts the learning needs analysis.
• Plans and proposes the hotel’s training programme, aligning it to the learning needs analysis.
• Designs and executes programmes necessary to meet the competencies of each job function and to address performance gaps.
• Conducts the relevant trainings according to business and training needs.
• Initiates, coordinates, executes and follows up on all corporate, internal and external initiatives and programmes.  
• Informs managers on programme objectives and expected outcomes which colleagues attend.
• Monitors, measures and reports on colleagues’ development plans and achievements within agreed formats and time frame.
• Works closely with the departments to curate training programme, to train, coach and assess colleagues.
• Maintains appropriate systems to record and measure necessary aspects of colleagues’ development. These include on-the-job learning, internal and external learning, attendance, development plans, etc.
• Organises the learning venue, course notes, attendance sheet and all relevant materials required for classroom learning programmes.
• Liaises with Workforce Singapore and administers SkillsFuture claims for relevant courses.
• Performs any other duties and responsibilities that may be assigned.

The position is responsible for supporting the Assistant Director of Learning & Development in creating, implementing and facilitating the hotel’s Learning & Development (L&D) plan and budget, ensuring that it is aligned to the hotel’s overall goals and strategic plan as well as for all operational departments to follow through on their training and development commitments.

Primary Responsibilities

Assists with the hotel’s L&D needs analysis and prepares the L&D plan and budget

• Plans and conducts the hotel’s L&D needs analysis of individual colleagues with Assistant Director of Learning & Development.
• Assists in the planning of the hotel’s annual L&D budget, aligning it to the L&D needs analysis.
• Assists in controlling hotel wide and departmental L&D expenditure within agreed budgets.

Creates, plans and executes L&D programmes

• Designs L&D programmes necessary to meet the competencies of each job function and to address performance gaps with the Assistant Director of Learning & Development.
• Coordinates and follows up on all corporate, internal and external L&D initiatives and programmes.
• Assists in the delivery of programmes as assigned by Assistant Director of Learning & Development.
• Informs managers on L&D programme objectives and expected outcomes which colleagues attend.
• Monitors, measures and reports on colleagues’ L&D plans and achievements within agreed formats and time frame.

Adheres to corporate and local L&D regulations

• Ensures full compliance when coordinating and executing corporate initiated programmes and activities.
• Ensures that all learning activities meet with relevant statutory and organisational policies and requirements.
• Adheres to learning requirements set by local authorities and regulations, especially relating to safety and security. These include Basic Food Hygiene, Occupational First Aid, Work at Height, Company Emergency Response Team, etc.

Coordinates industrial attachment and internship programmes

• Liaises with local and foreign educational institutions to recruit and select students for internship placement in the hotel.
• Assists with the planning of interns’ L&D schedule in consultation with the Assistant Director of Learning & Development and functional / departmental managers.
• Organises regular meetings with the Assistant Director of Learning & Development and interns to monitor and ensure their welfare.
• Administers the personal files and records of interns.
• Maintains engagement with local hospitality institutions through activities such as guest lectures and site visits.

L&D administration

• Maintains appropriate systems to record and measure necessary aspects of colleagues’ L&D. These include on-the-job learning, internal and external learning, attendance, development plans, etc.
• Assists in the planning of an ongoing L&D calendar and shares it with management to ensure that learning resources and opportunities are maximised.
• Organises the learning venue, course notes, attendance sheet and all relevant materials required for classroom learning programmes.
• Assists in gathering information required to complete monthly accruals, forecast reports as well as corporate reports accurately within specified time frame. 
• Liaises with Workforce Singapore and administers SkillsFuture claims for relevant courses.

Works as part of the Talent & Culture team, and involvement in wider job function relationships

• Assists and supports the Talent and Culture team in projects and colleague activities as required.
• Upholds AccorHotels Values of Guest Passion, Sustainable Performance, Spirit of Conquest, Innovation, Trust and Respect in the execution of all duties and responsibilities.
• Participates and supports sustainability in Corporate initiatives and programmes such as Corporate Social Responsibility, Diversity and Inclusion, Women at AccorHotels Generation (WAAG), etc.
• Performs any other duties and responsibilities that may be assigned.

We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm.

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by Bank data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring. Your main responsibilities will include:
Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements

Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.

Optimize AI development environments (development, testing, production) for usability, reliability and performance.

Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).

Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.

Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

• Proficiency in Python used both for ML and automation tasks
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good understanding of ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Distributed Data Processing framework, such as Spark, or Dask.
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.