312 E Learning jobs in Singapore

The incumbent is expected to work closely with Operations, Technology, Management & Support Teams to continuously review, update competencies, and bring forward future-ready skills that match the business needs of REC.

DUTIES AND RESPONSIBILITIES:

• Coordinate and administer external training programs through Learning requests by departments, including course evaluation and managing training bonds if required.
• Coordinate specified in-house training programs with Subject Matter Expert Trainers for employee rollout.
• Conduct training for new employee onboarding and orientation.
• Participate in the creation and delivery of e-learning packages, Udemy courses, e-OJT, PowerApps, Mobile learning, and L&D portal initiatives to foster a digital learning culture in REC.
• Ensure learning activities and records are properly administered and documented in accordance with L&D policies, grants, and audit requirements.
• Support ISO & Quality audits to ensure compliance.
• Administer and manage New Employee Orientation sessions.
• Manage 30-60-90 feedback using Power App and Power Automate systems for new employees.
• Research external sources on future demand skills and develop plans to upskill employees.
• Coordinate new grant initiatives from available government funding schemes.
• Provide cross-functional support to other HR functions or employee engagement and teambuilding projects.
• Understand administrative documentation and participate in productivity projects.
• Prepare training reports for management review.
• Organize Annual Trainers' Day to recognize internal trainers and collaborate on Safety-Quality-Learning Week to educate employees.

Qualifications

• Degree in Mechatronics, Electrical Engineering, Mechanical Engineering, Material Science, or related fields.
• Proficiency in two languages is an advantage.
• Strong verbal and written communication skills in English, including public speaking.
• Good command of Microsoft Excel, PowerPoint, and Outlook.
• Knowledge of coding languages such as Python, Java, Power Automate, or similar skills is an advantage.

Location/s: MumbaiRelocation supported: Within country; Not supported, but internal applications are welcomeRoles & ResponsibilitiesWe are seeking a Learning & Development Specialist to join our North America team. A passionate individual who thrives on creating meaningful learning experiences that uplift people, strengthen teams, and drive positive change. This is your opportunity to be part of a collaborative, caring, and forward-thinking environment where your contributions matter and your growth is celebrated.ResponsibilitiesWorking in tandem with the wider North America learning and development team and maintaining open lines of communication, the L&D Specialist will be responsible for: Coordinating the set-up of training sessions in our learning management system (SAP/Connected Learning) Acting in the Producers role of learning sessions in Teams Posting pre-approved announcements and otherL&Dcommunications through Compass (our intranet), Teams, Yammer, and email Participating in process improvement discussions Inviting, tracking and ensuring attendance of learning experiences Performing miscellaneous administrative tasks and ad hoc assignments as required Monitoring completion of applicable eLearning courses Facilitate a schedule of learning events across each year of the programme Evaluate informal and formal training feedback to revise and maintain training Maintaining required communications related to learning initiatives and maintaining a comprehensive SharePoint site Provide timely and informative reports regarding training completion, budget spend, feedback, Connected conversations and ROICandidate SpecificationWere looking for someone who is not only capable but also deeply committed to people development: Bachelors degree in human resources. business administrationor relatable discipline Previous experience in Learning & development function in an administrative role Exceptional communication skills in English spoken and written Demonstrate creativity, initiative, adaptability and diversity awareness. Fast learner with an outgoing personality Capable of building a network within the company Excellent communication and personality Working hours must be flexible to ensure collaboration with North America which includes accommodating eastern time (EST or EDT) and pacific time (PST or PDT).Development requirements: To demonstrate progressive proficiency and ability to deliver and facilitate training Develop ones own knowledge of evaluation of training methodology Research industry best practice approaches for innovations in learningIf youre passionate about learning, driven by purpose, and eager to grow in a supportive and inclusive environment, wed love to hear from you. At Mott MacDonald, your story is just beginningand together, well build a better future.We Can Offer (subject To Companys Policy) Agile and safe working environment Competitive annual leave and sick leaves Group incentive scheme Group term life insurance, Workmens compensation and Group medical insurance coverage Short and Long-term Global employment opportunities Global collaboration and knowledge sharing Digital Innovation and TransformationEquality, diversity and inclusionWe put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute.Agile workingAt Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust.Location(s):Mumbai, MH, INContract Type: PermanentWork Pattern: Full TimeMarket: VariousDiscipline: Human resources and talent acquisitionJob Ref: 9129Recruiter Contact: Supriya Yadavalli,

Sign-in & see how your skills match this job

Sign-in & Get noticed by top recruiters and get hired fast

Succession Planning, Leadership Development, Talent Management, Instructional Design, Project Management, Communication Skills, Presentation Skills, Analytical Skills, Relationship Building, Collaboration, Learning Management Systems,Learning , Development, Diversity , Inclusion, Microsoft Office Proficiency, Elearning Platforms

Project Management, Budgeting, Communication Skills, Negotiation Skills,Learning , Development practices, Elearning platforms, Rapport Building

Soft Skills Training, Compliance Training, Technical Training, Vendor Management, Employee Engagement, Budget Management, Succession Planning, Leadership Development,Learning Development, Training Program Design, Learning Management System LMS Management, ROI Evaluation

Succession Planning, Leadership Development, Talent Management, Instructional Design, Project Management, Communication Skills, Presentation Skills, Analytical Skills, Relationship Building, Collaboration, Learning Management Systems,Learning , Development, Diversity , Inclusion, Microsoft Office Proficiency, Elearning Platforms

Project Management, Budgeting, Communication Skills, Negotiation Skills,Learning , Development practices, Elearning platforms, Rapport Building

Soft Skills Training, Compliance Training, Technical Training, Vendor Management, Employee Engagement, Budget Management, Succession Planning, Leadership Development,Learning Development, Training Program Design, Learning Management System LMS Management, ROI Evaluation

The Role

We are looking for a talented Learning Manager to join our Global Talent Management Team, reporting directly to the Director of Global Learning & Engagement. The successful candidate will be responsible for creating engaging and impactful learning resources for our Management & Leadership development programs aimed at people managers across the organization, while also supporting the design and global implementation of our talent management initiatives.

The Team

You will be part of the Global Talent Management team, which has a presence in New York, London, and Bangalore. The team is responsible for Leadership, Performance, Talent, Succession plans, Learning & Engagement.

What will you be doing

1. Design, develop creative and interactive learning solutions, including facilitator-led, e-learning courses, and other multimedia content.
2. Curate learning experiences globally to support people managers at all levels.
3. Support operational implementation of talent programs for the wider talent management team globally.
4. Participate in the delivery and facilitation of learning programs as needed.
5. Use insights to ensure learning effectiveness and proactively implement changes.
6. Stay updated on industry trends and best practices in learning design, leadership, and technology.

Who you are

1. 7+ years of experience in a Learning function with increasing responsibilities.
2. Previous experience working in a global, matrixed environment is strongly preferred.
3. Proven experience in designing and developing engaging learning materials.
4. Proficiency in instructional design software/tools such as Articulate Storyline and Google Suite.
5. Strong knowledge of managing digital learning content and platforms.
6. Executive presence with the ability to work with stakeholders at all levels, demonstrating excellent communication, presentation, and interpersonal skills.
7. Project management skills, including planning, implementation, risk management, and handling multiple projects.
8. Undergraduate degree required, preferably in Learning, Organizational Development, HR, or similar; a Master’s degree is preferred.
9. Passion for learning and personal development.
10. Deep care for improving the employee experience.
11. Some experience in graphic design and multimedia skills is a plus but not essential.

About the Company

Cond Nast is a global media company, home to iconic brands including Vogue, The New Yorker, GQ, Glamour, AD, Vanity Fair, and Wired. The company's award-winning content reaches millions across print, digital, and social platforms worldwide.

The company is headquartered in London and New York, operating in 32 markets including China, France, Germany, India, Italy, Japan, Mexico & Latin America, Spain, Taiwan, the UK, and the USA, with local license partners across the globe.

• Recruiter Details: Cond Nast Technology Lab

Sign-in & see how your skills match this job

Sign-in & Get noticed by top recruiters and get hired fast

Let’s start with some numbers:

• H100 SXM: 504 (SuperPod)
• H100 PCI: 128
• A100 SMX: 120
• CPU: 600K cores
• 350pb SSD
• 33pb HDD

That is a lot of computing power, so why do we need it?

We’re pushing the boundaries of AI by building cutting-edge machine learning models and tools from the ground up. To support this, we’ve invested heavily in high-performance computing, including the Ahrefs Superpod, which boasts 60 nodes from 63 and scored 19.7 PFlops in Linpack, ranking it among the top 30 supercomputers in the world. Simply put, we have the infrastructure to turn ambitious ideas into reality.

For over a decade, Ahrefs has been crawling the web, processing petabytes of data, and delivering powerful insights through an intuitive interface. Now, we’re leveraging this expertise to develop innovative AI-driven solutions that help users navigate, analyze, and extract value from vast amounts of information like never before.

Let’s put that compute power to use!

In this role you’ll have the opportunity to work on cutting-edge research and turn it into real-world impact. We're looking for a dynamic Machine Learning Engineer to join us in creating cutting-edge AI products that push the boundaries of what’s possible. Bring your creativity, develop your own ideas, and see them through, from fuzzy concepts to production, all in a fast-moving, red-tape-free environment.

• Model Development
  • Work on LLMs and other AI models, spanning training, fine-tuning, inference optimization, and new architectures.
• Algorithm Research & Development
  • Design and implement algorithms for search, agents, knowledge retrieval, and generative AI applications.
• Stay on the Cutting Edge
  • Stay ahead of NLP and RL advancements, evaluate emerging models/frameworks (e.g., SSMs, text diffusion), and assess their impact on our products.
• Scaling & Optimization
  • Optimize model inference, reduce latency, and improve efficiency using techniques like distillation, quantization, and tensor parallelism.
• Collaborate with Engineering & Product Teams
  • Work closely with engineering and product teams to ship AI-driven features at scale.

• Experience with modern deep learning frameworks (e.g., PyTorch, JAX).
• Familiarity with transformer-based architectures and techniques (e.g. flash attention, speculative decoding, KV caching).
• Strong software engineering skills (Python, CUDA, or C++ a plus).
• Interest in one or more areas: large-scale training, agentic workflows, inference optimization, retrieval-augmented generation (RAG), reinforcement learning (RLHF/RL), or multimodal AI.
• Experience with distributed training and model deployment libraries (e.g. Megatron, Ray, Triton (both or either!), vLLM) is a bonus.

You’ll have opportunities to work on projects at the cutting edge of AI. You’ll get the chance to shape the future of our product and make a real impact.

If you're a Machine Learning Engineer with the drive to turn research into reality, we'd love to hear from you! Join us and be part of a team that's pushing the boundaries of technology and innovation.

That is a lot of computing power, so why do we need it?

We’re pushing the boundaries of AI by building cutting-edge machine learning models and tools from the ground up. To support this, we’ve invested heavily in high-performance computing, including the Ahrefs Superpod, which boasts 60 nodes from 63 and scored 19.7 PFlops in Linpack, ranking it among the top 30 supercomputers in the world. Simply put, we have the infrastructure to turn ambitious ideas into reality.

For over a decade, Ahrefs has been crawling the web, processing petabytes of data, and delivering powerful insights through an intuitive interface. Now, we’re leveraging this expertise to develop innovative AI-driven solutions that help users navigate, analyze, and extract value from vast amounts of information like never before.

Let’s put that compute power to use!

In this role you’ll have the opportunity to work on cutting-edge research and turn it into real-world impact. We're looking for a dynamic Machine Learning Engineer to join us in creating cutting-edge AI products that push the boundaries of what’s possible. Bring your creativity, develop your own ideas, and see them through, from fuzzy concepts to production, all in a fast-moving, red-tape-free environment.

• Work on LLMs and other AI models, spanning training, fine-tuning, inference optimization, and new architectures.
• Algorithm Research & Development
  • Design and implement algorithms for search, agents, knowledge retrieval, and generative AI applications.
• Stay on the Cutting Edge
  • Stay ahead of NLP and RL advancements, evaluate emerging models/frameworks (e.g., SSMs, text diffusion), and assess their impact on our products.
• Scaling & Optimization
  • Optimize model inference, reduce latency, and improve efficiency using techniques like distillation, quantization, and tensor parallelism.
• Collaborate with Engineering & Product Teams
  • Work closely with engineering and product teams to ship AI-driven features at scale.

• Experience with modern deep learning frameworks (e.g., PyTorch, JAX).
• Familiarity with transformer-based architectures and techniques (e.g. flash attention, speculative decoding, KV caching).
• Strong software engineering skills (Python, CUDA, or C++ a plus).
• Interest in one or more areas: large-scale training, agentic workflows, inference optimization, retrieval-augmented generation (RAG), reinforcement learning (RLHF/RL), or multimodal AI.
• Experience with distributed training and model deployment libraries (e.g. Megatron, Ray, Triton (both or either!), vLLM) is a bonus.

You’ll have opportunities to work on projects at the cutting edge of AI. You’ll get the chance to shape the future of our product and make a real impact.

If you're a Machine Learning Engineer with the drive to turn research into reality, we'd love to hear from you! Join us and be part of a team that's pushing the boundaries of technology and innovation.

Our data science team faces a big, exciting challenge: building machine learning models to improve the Fairsearch experience. What a user wants to see when they run a search, and what makes a piece of content better or more relevant than another – these are vital questions that inform how we rerank web pages. Sounds interesting? We'd love to hear from you.

Our motto is first do it, then do it right, then do it better.

Get AI-powered advice on this job and more exclusive features.

Continue with Google Continue with Google

Continue with Google Continue with Google

Continue with Google Continue with Google

Continue with Google Continue with Google

Continue with Google Continue with Google

Continue with Google Continue with Google

Direct message the job poster from Nicoll Curtin

Are you a Senior Machine Learning Engineer who wants to push the boundaries of computer vision and AI in real-world identity verification? Here's a chance to join a leading tech unicorn in the AI and digital identity space.

What you’ll do:

• Build and optimize computer vision models to improve performance in face recognition, liveness detection, and image quality assessments across diverse user populations.
• Work directly with product managers, annotation teams, and engineers to translate real-world identity verification needs into scalable model training and deployment strategies.
• Deep-dive into model performance issues to identify gaps, retrain models, and incorporate new data pipelines, including video and unstructured image data.
• Stay ahead of AI trends with research on new algorithms and contribute to full-cycle development, from dataset curation and labeling to model rollout.
• Contribute to product-level decisions with a strong understanding of how algorithms impact user security, fraud prevention, and product usability.

What we’re looking for:

• Solid background in Python, PyTorch, and computer vision, with experience handling large-scale image or video datasets.
• Hands-on experience training and evaluating ML models in real-world use cases — including accuracy tuning, fraud detection, and deployment into production environments.
• Effective communicator who can document, share insights, and align work with cross-functional teams.
• Comfortable working in a fast-paced, collaborative team that values innovation and ownership.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology and Engineering
• Industries Software Development, Technology, Information and Media, and Financial Services

Referrals increase your chances of interviewing at Nicoll Curtin by 2x

Continue with Google Continue with Google

Continue with Google Continue with Google

South East Community Development Council, Singapore 1 week ago

Queenstown, Central Singapore Community Development Council, Singapore 4 months ago

South East Community Development Council, Singapore 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

We are looking for a talented MLOps Engineer to join our production team, specializing in implementing cutting-edge generative AI and machine learning applications. The ideal candidate will have hands-on experience with tools such as Microsoft OpenAI, Domino Data Lab, and Mistral models. This role requires the ability to identify differences between various models, monitor their performance, and collaborate closely with application teams to share knowledge and best practices.

• Collaborate with data scientists and software engineers to Implement and optimize generative AI and machine learning models in production environments.
• Provision & manage the infrastructure required for hosting ML models, including cloud resources and on-premises servers.
• Utilize containerization technologies like Docker to package models and dependencies.
• Develop and maintain CI/CD pipelines for automating the testing, integration, and deployment of ML models.
• Implement version control to track changes in both code and model artifacts.
• Optimize existing models for performance and scalability.
• Establish monitoring solutions to track the performance and health of deployed models.
• Set up logging mechanisms to capture relevant information for debugging and auditing purposes.
• Ensure compliance regulations and data protection standards.
• Document processes, methodologies, and results for transparency and reproducibility.

• Total 7+ years of overall IT experience.
• Architecture and deployment of solutions on cloud platforms like Azure/AWS or GCP.
• Proficient in machine learning algorithms, models, and statistical concepts.
• Knowledge of data preprocessing techniques and feature extraction.
• Experience with generative AI tools (e.g., Microsoft OpenAI, Domino Data Lab).
• Skilled in MLOps frameworks (e.g., Kubeflow, MLFlow, DataRobot, Airflow).
• Docker and Kubernetes, OpenShift for container management and scaling.
• Proficient in programming languages (Python, Go, Ruby, Bash) and Linux.
• Familiarity with machine learning frameworks (scikit-learn, Keras, PyTorch, TensorFlow).
• Experience with CI/CD pipelines.
• Knowledge of IaC tools (e.g., Terraform, CloudFormation) and configuration management tools (e.g., Ansible).
• Experience with Mistral models and other machine learning frameworks.
• Strong understanding of machine learning algorithms and model evaluation techniques.
• Model monitoring and troubleshooting skills.
• Excellent problem-solving and analytical skills.
• Strong communication skills for technical and non-technical stakeholders.
• Collaborative teamwork in cross-functional teams.
• Strong knowledge on API Management and Integration using APIGEE API Management platform.
• Domino Datalab certification.
• MLOps Certification.
• Working knowledge of Scrum framework.

Our positions are open to people who have been recognized as disabled workers. T&S Group promotes diversity and equality in the workplace. All qualified M/F candidates are considered for employment on an equal basis.

Why should I Apply:

At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help organizations build responsible, secure, high-quality code quickly and systematically. We build solutions that don’t just solve symptoms of problems – we fix problems at the source – source code, to be specific.

We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. We believe team members should have the opportunity to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: provide solutions that deliver Clean Code.

We seek a Machine Learning Engineer who is passionate about exploring new dimensions in GenAI and developing the next-generation agentic framework for AI-powered developer assistants. As a Machine Learning engineer at Sonar, you will develop, implement, and optimize ML workflows to enhance our products and services. You will work closely with software engineers, researchers, and other stakeholders to deliver robust, scalable, and innovative solutions to advance the state-of-the-art agentic workflow for autonomous program improvement.

• Work with the core research team to advance the state of the art for AI-driven SE.
• Design, develop, and deploy models and algorithms to tackle various challenges in automating software engineering tasks.
• Analyze and preprocess large datasets to build scalable and efficient ML pipelines.
• Optimize and fine-tune LLMs to improve performance and accuracy.
• Conduct experiments and perform rigorous validation to evaluate model effectiveness.
• Implement and maintain scalable, robust, and efficient production-level code.
• Stay up-to-date with the latest advancements in machine learning technologies.
• Develop and maintain documentation for AI models and systems.
• Participate in code reviews and contribute to the development of best practices in machine learning engineering.
• Collaborate with development teams to ensure seamless model deployment and integration into production systems.

• Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related field.
• Proven experience as a Machine Learning Engineer or a similar role with a strong portfolio of projects, with at least two years of industry experience.
• Proficiency in programming languages such as Python, Java, or C/C++.
• Solid understanding of machine learning frameworks and libraries, such as TensorFlow, PyTorch, JAX, HuggingFace, scikit-learn, etc.
• Strong knowledge of algorithms, data structures, and software engineering principles.
• Familiarity with cloud platforms and services, such as AWS, Google Cloud Platform, or Azure is an advantage.
• Experience with deep learning models and natural language processing (NLP).
• Knowledge of MLOps practices and tools.
• Experience with data visualization tools and techniques.
• Familiarity with version control systems such as Git.
• Excellent debugging, optimization skills, communication and teamwork skills.

Why you will love it here:

Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice.

We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate!

We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday).

We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them.

We prioritize Diversity, Equity, and Inclusion:

At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures. We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.

Please note that applications submitted through agencies or third-party recruiters will not be considered.

DataForce by TransPerfect is looking for a highly motivated Machine Learning Engineer to join our onsite team on a fixed-term assignment in Singapore for an exciting new AI project!

Role Summary

• As a Machine Learning Engineer, your responsibilities include working with language data and creating, categorizing, auditing and improving lexical data.
• To do this job successfully, you need solid programming skills and language fluency in Indonesian .
• You will be part of an onsite team with diverse skills and backgrounds, who will help brainstorm and find innovative solutions to complex issues.

Main Responsibilities:

• Work with language data and create, categorize, audit, and improve lexical data
• Develop natural language processing code specific to Indonesian language
• Provide input and suggestions in finding new approaches and new product features tailored to home market
• Find innovative solutions to complex issues
• Automate and integrate workflows from diverse systems
• Daily interactions with other teams working towards the same goal

Job Requirements

• 1+ years engineering experience in diverse technical areas
• Proficiency in Indonesian language is required since you will work with Indonesian content (read and process documents, analyze and label data in Indonesian language)
• iOS or Mac OS X development skills
• Data processing knowledge
• Familiar with Python and Shell
• Experience with one or more version control systems with a preference for Git
• Familiar with regular expression
• Basic team collaboration skills (email, messaging, calendar, etc.)

Education:

• B.S/MSc in Computer Science, Electrical Engineering, or related fields

Preferred Requirements:

• Experience in natural language processing (NLP), machine learning, or related sub-fields is a plus

This is full-time onsite position.

DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.

To learn more about DataForce please visit us at

TransPerfect is an equal opportunity employer and committed to all recruitment processes and workplace free from harassment, sexual harassment and discrimination.

For more information on the TransPerfect Family of Companies, please visit our website at

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology, Engineering, and Analyst
• Industries Technology, Information and Media and Translation and Localization

Referrals increase your chances of interviewing at TransPerfect by 2x

Queenstown, Central Singapore Community Development Council, Singapore 6 days ago

South East Community Development Council, Singapore 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.