64 E Learning jobs in Hong Kong

Join to apply for the Learning & Development Manager role at Regent Hong Kong .

The reimagined Regent Hong Kong returns to the famed Victoria Harbour, offering generations of unforgettable experiences and glorious delights. Here, discreet luxury is majestic and intimate, decadent and elegant, always seamlessly bespoke. It is a warm, lyrical, evocative, and inspirational urban haven.

1. Foster a learning culture within the Hotel, facilitate departmental learning needs analysis.
2. Develop an annual learning & development plan aligned with business goals and brand positioning, promoting learning efficiency.
3. Lead learning and development activities, ensuring strategic alignment with the Hotel's direction.
4. Support departmental trainers in delivering training programs.
5. Assist the Human Resources team with projects and campaigns.

1. Bachelor’s degree in Hospitality Management, Human Resources, or a related field.
2. Excellent interpersonal and communication skills; a good team player.
3. Self-motivated with a passion for the hospitality industry and developing others.
4. Fluent in Cantonese and English; Putonghua is preferred.
5. Candidates with less experience may be considered for the Assistant Learning & Development Manager position.

We offer promising career opportunities with competitive remuneration, ongoing professional development, a culture of service excellence, and a diverse workplace that celebrates differences.

Applicants who do not hear from us within four weeks should consider their application unsuccessful. Data collected will be used solely for recruitment purposes.

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Direct message the job poster from PowerArena

Founded by ex-googlers and started at Stanford's StartX program, PowerArena now has offices in the States, Taiwan, Hong Kong and China. We are a fast-growing, research-driven company building AI solutions that helps manufacturing corporations and factories assembly operations overcome the challenges they face in productions every day.

We are a fast-growing, research-driven company building AI solutions that helps corporate and factories overcome the challenges they face every day. Using novel machine learning techniques, we are revolutionizing the industry and have a track record of building things that others have ruled out as impossible. Our team is our best asset. We work with smart and talented individuals, who all enjoy a high

degree of responsibility and independence in structuring their work. The team are looking for passionate data scientist who is keen to work with like-minded individuals in a rapidly evolving environment.

Position Overview

The ML Deployment Engineer will be responsible for deploying machine learning algorithms developed by our data scientists into production environments. This includes both backend servers and edge devices. The ideal candidate will have a strong background in machine learning, software engineering, and experience with deployment and monitoring of ML models in diverse environments.

Responsibilities

Deploy ML Algorithms:

• Collaborate with data scientists to understand the algorithms and deployment requirements.
• Implement and optimize ML models and related logics in backend servers and edge devices.
• Set up and maintain ML models on server infrastructures.
• Ensure seamless integration with existing backend systems.
• Monitor and optimize model performance in production environments.

Edge Device Deployment:

• Adapt and deploy ML models to edge devices ensuring efficient performance.
• Manage the deployment pipeline for edge computing environments.
• Troubleshoot and resolve issues related to model performance on edge devices.

Automation and CI/CD:

• Develop and maintain CI/CD pipelines for ML model deployment.
• Automate deployment processes to ensure fast and reliable model updates.

Monitoring and Maintenance:

• Monitor deployed models to ensure they meet performance and accuracy benchmarks.
• Conduct regular maintenance and updates of deployed models.
• Implement logging and alerting mechanisms to proactively address potential issues.

Documentation and Collaboration:

• Document deployment processes and configurations.
• Work closely with cross-functional teams including data scientists, software engineers, and DevOps teams.
• Provide support and guidance to team members on best practices for model deployment.
• Share technical knowledge with team members.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Proven experience in deploying machine learning models to production environments.
• Strong programming skills in languages such as Python, Java, or C++.
• Experience with ML frameworks such as TensorFlow, PyTorch, or similar.
• Experience with model and code optimization.
• Proficiency in containerization technologies (Docker, Kubernetes).
• Experience with edge computing and deploying models on edge devices.
• Familiarity with CI/CD pipelines and DevOps practices.
• Strong problem-solving skills and ability to troubleshoot deployment issues.
• Excellent communication and teamwork skills.

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology

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Kwun Tong District, Hong Kong SAR 7 months ago

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Direct message the job poster from Fano (Fano Labs)

About Us:

We are a leading AI startup dedicated to transforming industries through the power of artificial intelligence for speech. We are currently seeking a skilled and passionate Machine Learning Engineer to join our dynamic team. If you are eager to drive innovation and play a crucial role in the development of advanced ASR models, this is the right opportunity for you.

Responsibilities:

• Collaborate with AI Scientists in training of advanced ASR models.
• Work on improving the research data pipeline.
• Conduct detailed benchmarking of ASR models post-training.
• Utilise GenAI to generate synthetic data.
• Work on MLOps to scale research models.

Qualifications:

• Bachelor's/Master's degree in Computer Science, Engineering, or a related field.
• Proficient in Python and experience with machine learning frameworks (like Keras or PyTorch)
• Strong problem-solving skills and ability to work in a team environment
• Excellent communication and interpersonal skills
• Knowledge on C++ is a plus
• Previous machine learning experience is a plus

We offer:

• Competitive compensation packages.
• A vibrant and collaborative work environment.

• Seniority level Entry level

• Employment type Full-time

• Job function Research and Engineering
• Industries Technology, Information and Internet

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Wan Chai District, Hong Kong SAR 1 week ago

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Join to apply for the Machine Learning Engineer role at Wizpresso 濃說

1 year ago Be among the first 25 applicants

Join to apply for the Machine Learning Engineer role at Wizpresso 濃說

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About Wizpresso

(learn more at is a Hong Kong-based technology company that transforms enterprise workflow and empowers financial markets stakeholders. We develop software underpinned by natural language processing (NLP) and deep learning to augment market intelligence, regulatory reporting, and knowledge management. We deliver value to users by removing communication barriers between participants, improving business growth, managing risks, and enhancing operational efficiency.

Our clients include global financial institutions, professional services firms, and enterprises. Wizpresso has earned numerous accolades, such as the HKMA/HKT Innovation Awards 2024 (Gold), APICTA 2023 AI of The Year Awards, Maker in China 2022 Champion, CUHK Corporate Innovation Index 2022, HKICT Grand Fintech Award 2021, EPIC 2021 Fintech Champion, and multiple IFTA Fintech Awards. If youre passionate about pioneering financial and regulatory technology and eager to build transformative SaaS products for professionals, Wizpresso is the place for you. Join our fast-growing, dynamic team and thrive in a culture celebrating data wizards and automation mavens!

• We are obsessed with our customers.
• Building a powerful yet simple and elegant product is engrained in our culture.
• We value execution and outcomes over appearance and office politics.
• We believe everyone has great ideas and unique strengths.
  
  

• Collaborate with data scientists and software engineers to deploy machine learning models into production environments.
• Develop and maintain scalable infrastructure for training, testing, and deploying machine learning models.
• Implement and manage continuous integration and continuous deployment (CI/CD) pipelines for machine learning projects.
• Monitor and optimize machine learning systems to ensure performance, scalability, and reliability.
• Troubleshoot and resolve issues related to model performance, data quality, and system stability.
• Collaborate with DevOps teams to ensure smooth integration of machine learning systems with existing infrastructure.
• Develop and maintain documentation related to machine learning infrastructure, processes, and best practices.
• Stay up-to-date with the latest advancements in machine learning operations and identify opportunities for improvement within the organization.
  
  

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Solid understanding of machine learning concepts and techniques.
• Proficiency in programming languages such as Python and/or R.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Knowledge of version control systems, such as Git.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration abilities.
• Ability to work effectively in a fast-paced and dynamic environment.
• Attention to detail and a commitment to delivering high-quality results.
  
  

• Experience with deploying machine learning models in production environments.
• Knowledge of big data processing frameworks (e.g., Apache Spark, Hadoop).
• Familiarity with data pipeline orchestration tools (e.g., Airflow, Luigi).
• Understanding of software development methodologies (e.g., Agile, Scrum).
• Experience with infrastructure-as-code tools (e.g., Terraform, Ansible).

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet

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Wan Chai District, Hong Kong SAR 6 days ago

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Join to apply for the Machine Learning Engineer role at FCC ANALYTICS

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Join to apply for the Machine Learning Engineer role at FCC ANALYTICS

• Conduct data analysis, feature engineering, and feature extraction for data within the financial industry
• Develop and implement cutting-edge machine learning algorithms focused on graph learning and time series analysis for applications such as transaction monitoring, anti-money laundering, and cryptocurrency analysis
• Maintain and optimize data pipelines, enhancing existing solutions through pre- and post-processing improvements, fine-tuning, performance evaluation, visualization, and testing
• Collaborate with cross-functional teams to identify and address customer needs and aspirations
• Proactively resolve ambiguity and tackle technical issues, driving innovation and efficiency in processes
  
  
  

• Conduct data analysis, feature engineering, and feature extraction for data within the financial industry
• Develop and implement cutting-edge machine learning algorithms focused on graph learning and time series analysis for applications such as transaction monitoring, anti-money laundering, and cryptocurrency analysis
• Maintain and optimize data pipelines, enhancing existing solutions through pre- and post-processing improvements, fine-tuning, performance evaluation, visualization, and testing
• Collaborate with cross-functional teams to identify and address customer needs and aspirations
• Proactively resolve ambiguity and tackle technical issues, driving innovation and efficiency in processes
  
  
  

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Statistics, or related fields
• Proficiency in at least one machine learning development framework, such as PyTorch, Keras, or TensorFlow, with hands-on experience in environment control
• Experience with programming, monitoring, visualization and project collaboration tools, including Python, VSCode, Conda, Git, and MySQL
• Knowledge of statistical machine learning and deep learning, particularly the models for graph and/or time series data, such as knowledge graph, spatial-temporal graph, and multivariate time series
• Interest in areas such as anomaly detection, federated learning, transfer learning, self-supervised learning, or uncertainty quantification
• Knowledge in LLM is a plus
• A passion for coding, programming, innovation, and problem-solving
• A keen interest in anti-money laundering practices and regulatory compliance
• Proficient in written and spoken Chinese (Cantonese or Mandarin); fluency in English is a plus

• Seniority level Entry level

• Employment type Full-time

• Job function Science
• Industries Technology, Information and Media

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New Territories, Hong Kong SAR 21 hours ago

Kwun Tong District, Hong Kong SAR 6 months ago

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

Join to apply for the Learning & Development Manager role at Regent Hong Kong .

The reimagined Regent Hong Kong returns to the famed Victoria Harbour, offering generations of unforgettable experiences and glorious delights. Here, discreet luxury is majestic and intimate, decadent and elegant, always seamlessly bespoke. It is a warm, lyrical, evocative, and inspirational urban haven.

• Foster a learning culture within the Hotel, facilitate departmental learning needs analysis.
• Develop an annual learning & development plan aligned with business goals and brand positioning, promoting learning efficiency.
• Lead learning and development activities, ensuring strategic alignment with the Hotel's direction.
• Support departmental trainers in delivering training programs.
• Assist the Human Resources team with projects and campaigns.

• Bachelor’s degree in Hospitality Management, Human Resources, or a related field.
• Excellent interpersonal and communication skills; a good team player.
• Self-motivated with a passion for the hospitality industry and developing others.
• Fluent in Cantonese and English; Putonghua is preferred.
• Candidates with less experience may be considered for the Assistant Learning & Development Manager position.

We offer promising career opportunities with competitive remuneration, ongoing professional development, a culture of service excellence, and a diverse workplace that celebrates differences.

Applicants who do not hear from us within four weeks should consider their application unsuccessful. Data collected will be used solely for recruitment purposes.

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

Direct message the job poster from Fano (Fano Labs)

About Us:

We are a leading AI startup dedicated to transforming industries through the power of artificial intelligence for speech. We are currently seeking a skilled and passionate Machine Learning Engineer to join our dynamic team. If you are eager to drive innovation and play a crucial role in the development of advanced ASR models, this is the right opportunity for you.

Responsibilities:

• Collaborate with AI Scientists in training of advanced ASR models.
• Work on improving the research data pipeline.
• Conduct detailed benchmarking of ASR models post-training.
• Utilise GenAI to generate synthetic data.
• Work on MLOps to scale research models.

Qualifications:

• Bachelor's/Master's degree in Computer Science, Engineering, or a related field.
• Proficient in Python and experience with machine learning frameworks (like Keras or PyTorch)
• Strong problem-solving skills and ability to work in a team environment
• Excellent communication and interpersonal skills
• Knowledge on C++ is a plus
• Previous machine learning experience is a plus

We offer:

• Competitive compensation packages.
• A vibrant and collaborative work environment.

• Seniority level Entry level

• Employment type Full-time

• Job function Research and Engineering
• Industries Technology, Information and Internet

Referrals increase your chances of interviewing at Fano (Fano Labs) by 2x

Wan Chai District, Hong Kong SAR 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.

Join to apply for the Machine Learning Engineer role at FCC ANALYTICS

Continue with Google Continue with Google

Join to apply for the Machine Learning Engineer role at FCC ANALYTICS

• Conduct data analysis, feature engineering, and feature extraction for data within the financial industry
• Develop and implement cutting-edge machine learning algorithms focused on graph learning and time series analysis for applications such as transaction monitoring, anti-money laundering, and cryptocurrency analysis
• Maintain and optimize data pipelines, enhancing existing solutions through pre- and post-processing improvements, fine-tuning, performance evaluation, visualization, and testing
• Collaborate with cross-functional teams to identify and address customer needs and aspirations
• Proactively resolve ambiguity and tackle technical issues, driving innovation and efficiency in processes
  

• Conduct data analysis, feature engineering, and feature extraction for data within the financial industry
• Develop and implement cutting-edge machine learning algorithms focused on graph learning and time series analysis for applications such as transaction monitoring, anti-money laundering, and cryptocurrency analysis
• Maintain and optimize data pipelines, enhancing existing solutions through pre- and post-processing improvements, fine-tuning, performance evaluation, visualization, and testing
• Collaborate with cross-functional teams to identify and address customer needs and aspirations
• Proactively resolve ambiguity and tackle technical issues, driving innovation and efficiency in processes
  

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Statistics, or related fields
• Proficiency in at least one machine learning development framework, such as PyTorch, Keras, or TensorFlow, with hands-on experience in environment control
• Experience with programming, monitoring, visualization and project collaboration tools, including Python, VSCode, Conda, Git, and MySQL
• Knowledge of statistical machine learning and deep learning, particularly the models for graph and/or time series data, such as knowledge graph, spatial-temporal graph, and multivariate time series
• Interest in areas such as anomaly detection, federated learning, transfer learning, self-supervised learning, or uncertainty quantification
• Knowledge in LLM is a plus
• A passion for coding, programming, innovation, and problem-solving
• A keen interest in anti-money laundering practices and regulatory compliance
• Proficient in written and spoken Chinese (Cantonese or Mandarin); fluency in English is a plus

• Seniority level Entry level

• Employment type Full-time

• Job function Science
• Industries Technology, Information and Media

Referrals increase your chances of interviewing at FCC ANALYTICS by 2x

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New Territories, Hong Kong SAR 21 hours ago

Kwun Tong District, Hong Kong SAR 6 months ago

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Join to apply for the Learning & Development Manager role at Organon

Join to apply for the Learning & Development Manager role at Organon

The Position
The Learning & Development Manager will lead the development of commercial capabilities to support business excellence. The L&D Manager will work in close partnership with the Cluster L&D Lead to support and implement learning and development initiatives across all AP markets.

Job Description
The Position
The Learning & Development Manager will lead the development of commercial capabilities to support business excellence. The L&D Manager will work in close partnership with the Cluster L&D Lead to support and implement learning and development initiatives across all AP markets.
Responsibilities

• Design, deliver, and evaluate learning programs that build functional competencies and address performance gaps, aligned with commercial strategies.
• Plan, develop, and implement L&D initiatives to enhance sales and marketing effectiveness.
• Coordinate and manage training activities and services for commercial teams.
• Support and coach individuals in identifying strengths, development needs, and career growth opportunities.
• Serve as a performance consultant and strategic partner to Business Units.
• Lead and facilitate behavioral and cultural change initiatives to drive commercial excellence.
• Collaborate on change management efforts and cross-functional projects as required.
• Work flexibly across multiple markets, adapting to diverse business needs and cultural contexts.
  

• Managerial experience is preferred.
• Strong facilitation, communication, presentation, and project management skills.
• Demonstrated ability to build talent, focus on customer needs, drive results, and foster collaboration.
• Strong interpersonal and analytical thinking skills.
• Proficiency in English, both written and spoken, is required; additional language skills are an advantage.
• Familiarity with a variety of training methods, including mentoring, coaching, classroom and on-the-job training, e-learning, workshops, and simulations.
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Human Resources
• Industries Pharmaceutical Manufacturing

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Get notified about new Learning and Development Manager jobs in Causeway Bay, Hong Kong SAR .

Sha Tin District, Hong Kong SAR 1 week ago

Kowloon City District, Hong Kong SAR 1 day ago

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