28 AI Technology jobs in Hong Kong

Join to apply for the AI Development Engineer role at NEWBYERA TECHNOLOGY LIMITED

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Join to apply for the AI Development Engineer role at NEWBYERA TECHNOLOGY LIMITED

• Education Background: Bachelor's degree in Computer Science or related field
• Industry Experience: 5+ years of experience in Python project development in the IT/Mobile Internet industry, with at least 1 year of experience in Python AI project development
• Fundamental Knowledge: Solid foundation in Computer Science and strong logical reasoning abilities
• Development Skills:
• Programming Language: Proficient in Python and commonly used official libraries
• Tools: Familiar with IDEs and toolchains for Python development and debugging, Linux system administration, log debugging and analysis, error troubleshooting
• Networking: Basic knowledge of networking, including network architectures and TCP/IP protocols
• Middleware: Experienced in the development of caching, message queuing, database connection pooling, log collection, configuration management, and service discovery
• Databases: Proficient in SQL, MySQL/PostgreSQL usage and development
• Containerization: Knowledgeable about containerization technologies such as Docker, Kubernetes (k8s), with practical project experience
• Data Analysis, Processing, and Visualization
• AI Skills:
• Knowledge of AI fundamentals: mathematical foundations, machine learning, deep learning
• Familiarity with AI-related development libraries: scientific computing libraries, visualization tools, machine/deep learning frameworks
• Understanding of the principles and application scenarios of AI technologies such as Natural Language Understanding, Stable Diffusion, MJ, and large language models
• Experience in participating in the complete development stage of open-source AI/AIGC related production-level projects
• Project categories include but are not limited to: virtual assistants, language processing, image processing, video processing, text processing, and audio processing
• Experience in using AI-assisted development to improve productivity in production practices
• Obtain Hong Kong Talent Admission Scheme (HK TAS) and Talents with Outstanding Abilities (TOA) status first.
  

• Education Background: Bachelor's degree in Computer Science or related field
• Industry Experience: 5+ years of experience in Python project development in the IT/Mobile Internet industry, with at least 1 year of experience in Python AI project development
• Fundamental Knowledge: Solid foundation in Computer Science and strong logical reasoning abilities
• Development Skills:
• Programming Language: Proficient in Python and commonly used official libraries
• Tools: Familiar with IDEs and toolchains for Python development and debugging, Linux system administration, log debugging and analysis, error troubleshooting
• Networking: Basic knowledge of networking, including network architectures and TCP/IP protocols
• Middleware: Experienced in the development of caching, message queuing, database connection pooling, log collection, configuration management, and service discovery
• Databases: Proficient in SQL, MySQL/PostgreSQL usage and development
• Containerization: Knowledgeable about containerization technologies such as Docker, Kubernetes (k8s), with practical project experience
• Data Analysis, Processing, and Visualization
• AI Skills:
• Knowledge of AI fundamentals: mathematical foundations, machine learning, deep learning
• Familiarity with AI-related development libraries: scientific computing libraries, visualization tools, machine/deep learning frameworks
• Understanding of the principles and application scenarios of AI technologies such as Natural Language Understanding, Stable Diffusion, MJ, and large language models
• Experience in participating in the complete development stage of open-source AI/AIGC related production-level projects
• Project categories include but are not limited to: virtual assistants, language processing, image processing, video processing, text processing, and audio processing
• Experience in using AI-assisted development to improve productivity in production practices
• Obtain Hong Kong Talent Admission Scheme (HK TAS) and Talents with Outstanding Abilities (TOA) status first.
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Digital Accessibility Services

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Shenzhen, Guangdong, China CN¥15,000.00-CN¥5,000.00 2 years ago

Wong Tai Sin District, Hong Kong SAR 1 week ago

Shenzhen, Guangdong, China CN¥2 000.00-CN 0,000.00 1 year ago

Kwun Tong District, Hong Kong SAR 19 hours ago

Shenzhen, Guangdong, China CN 5,000.00-CN 5,000.00 2 years ago

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• Develop high-performance AI applications based on Ascend NPU/NVIDIA GPU clusters; optimize LLM training and inference workflows to improve thousand-card scale resource utilization.
• Deploy and maintain AI development frameworks (e.g. PyTorch/TensorFlow).
• Implement core modules such as RAG (Retrieval-Augmented Generation) enhanced retrieval, multi-model routing scheduling, and automated Prompt optimization.
• Build high-precision OCR document parsing systems to support vertical industry scenarios (e.g., energy, mining).
• Other ad-hoc tasks or duties assigned by the division.

Requirements

• Bachelor’s degree or above in Computer Science or related majors.
• Proficient in at least one programming language (Python/Go/Java); familiar with the Kubernetes ecosystem and AI development frameworks (PyTorch/TensorFlow).
• Mastery of core toolchains for intelligent computing centers: computing power scheduling platforms, storage management software, and RAG development processes.
• Familiarity with AI development tools (e.g., LangChain) or large-scale enterprise tool platforms (e.g., Alibaba PAI).
• Experience in application development and debugging for GPU servers (NVIDIA HGX/H100, Huawei Atlas).
• At least 3 years of experience in developing large-scale AI application projects.
• Strong communication and teamwork skills, able to coordinate with other departments. Possess certain technical management capabilities to formulate project plans and lead partners to complete project delivery.
• Serious and responsible work attitude, excellent learning ability, outstanding communication skills, and strong analytical and problem-solving capabilities for complex issues.
• Strong problem analysis and resolution skills, capable of quickly locating and resolving issues.

• Seniority level Associate

• Employment type Full-time

• Job function Engineering, Information Technology, and Project Management
• Industries Telecommunications

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Get notified about new Application Development Engineer jobs in Hong Kong, Hong Kong SAR .

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• Develop high-performance AI applications based on Ascend NPU/NVIDIA GPU clusters; optimize LLM training and inference workflows to improve thousand-card scale resource utilization.
• Deploy and maintain AI development frameworks (e.g. PyTorch/TensorFlow).
• Implement core modules such as RAG (Retrieval-Augmented Generation) enhanced retrieval, multi-model routing scheduling, and automated Prompt optimization.
• Build high-precision OCR document parsing systems to support vertical industry scenarios (e.g., energy, mining).
• Other ad-hoc tasks or duties assigned by the division.

Requirements

• Bachelor’s degree or above in Computer Science or related majors.
• Proficient in at least one programming language (Python/Go/Java); familiar with the Kubernetes ecosystem and AI development frameworks (PyTorch/TensorFlow).
• Mastery of core toolchains for intelligent computing centers: computing power scheduling platforms, storage management software, and RAG development processes.
• Familiarity with AI development tools (e.g., LangChain) or large-scale enterprise tool platforms (e.g., Alibaba PAI).
• Experience in application development and debugging for GPU servers (NVIDIA HGX/H100, Huawei Atlas).
• At least 3 years of experience in developing large-scale AI application projects.
• Strong communication and teamwork skills, able to coordinate with other departments. Possess certain technical management capabilities to formulate project plans and lead partners to complete project delivery.
• Serious and responsible work attitude, excellent learning ability, outstanding communication skills, and strong analytical and problem-solving capabilities for complex issues.
• Strong problem analysis and resolution skills, capable of quickly locating and resolving issues.

• Seniority level Associate

• Employment type Full-time

• Job function Engineering, Information Technology, and Project Management
• Industries Telecommunications

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• Develop and implement Data Governance strategies and frameworks
• Define data policies, standards and procedures including data classification, data ownership and data access controls
• Implement Data Governance tools and technologies to enhance data management ability
• Support the pursuit of new Data Governance projects
• Learn about new data and analytics technology and methods, and how they could be applied for the benefit of our clients
• Support engagement teams for Data Governance projects

To qualify for the role, you must have

• Experience leading and implementing Data Governance strategies within complex organisations
• Experience or certificate in DAMA/DCMM etc. data management credential is an advantage
• Expertise in data quality, data privacy, metadata management, master data management, data ownership, and data & AI ethics capabilities
• Experience leading end-to-end Data & Analytics transformation programs
• Demonstrated business development skills
• Solid understanding of both Agile and traditional project management principles and practices
• Ability to coach and mentor cross-functional dynamic teams and operate autonomously
• Experience with engaging with both technical and non-technical stakeholders
• 7-10 years’ experience within Data Governance, Strategy and Consulting
• Fluent in English, Mandarin or Cantonese is preferred

What working at EY offers

• Support and coaching from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

About EY

As a global leader in assurance, tax, transaction and consulting services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Apply now.

• Seniority level Associate

• Employment type Full-time

• Job function Information Technology, Consulting, and Project Management
• Industries Business Consulting and Services and IT Services and IT Consulting

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Wan Chai District, Hong Kong SAR 5 days ago

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• Develop and implement Data Governance strategies and frameworks
• Define data policies, standards and procedures including data classification, data ownership and data access controls
• Implement Data Governance tools and technologies to enhance data management ability
• Support the pursuit of new Data Governance projects
• Learn about new data and analytics technology and methods, and how they could be applied for the benefit of our clients
• Support engagement teams for Data Governance projects

To qualify for the role, you must have

• Experience leading and implementing Data Governance strategies within complex organisations
• Experience or certificate in DAMA/DCMM etc. data management credential is an advantage
• Expertise in data quality, data privacy, metadata management, master data management, data ownership, and data & AI ethics capabilities
• Experience leading end-to-end Data & Analytics transformation programs
• Demonstrated business development skills
• Solid understanding of both Agile and traditional project management principles and practices
• Ability to coach and mentor cross-functional dynamic teams and operate autonomously
• Experience with engaging with both technical and non-technical stakeholders
• 7-10 years’ experience within Data Governance, Strategy and Consulting
• Fluent in English, Mandarin or Cantonese is preferred

What working at EY offers

• Support and coaching from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

About EY

As a global leader in assurance, tax, transaction and consulting services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Apply now.

• Seniority level Associate

• Employment type Full-time

• Job function Information Technology, Consulting, and Project Management
• Industries Business Consulting and Services and IT Services and IT Consulting

Referrals increase your chances of interviewing at EY by 2x

Wan Chai District, Hong Kong SAR 5 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

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Direct message the job poster from AAA Global

Job Description

Our client is a leading quantitative investment manager in China. They are dedicated to enhancing portfolio performance and competitiveness by leveraging advanced machine learning techniques to uncover market patterns.

Responsibilities

• Apply a range of deep learning and machine learning techniques to model large-scale datasets, uncover data patterns, identify underlying structures, and continuously optimise predictive models
• Research and explore cutting-edge machine learning algorithms and their applications in finance

Requirements

Our client is seeking candidates who meet the following criteria:

• PhD degree or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, or a related field from a top-tier domestic or international institution
• Strong foundation in machine learning theory, with an in-depth understanding of deep learning algorithms
• Hands-on experience in at least one specialised area such as time series analysis, natural language processing, image recognition, or data mining
• Excellent programming skills, proficient in PyTorch or TensorFlow, with the ability to rapidly develop and implement state-of-the-art deep learning models
• Strong capacity for independent research and a scientific mindset, with a keen interest in exploring machine learning applications in finance

Preferred Qualifications

• Awards in major academic competitions, or outstanding results in machine learning competitions such as Kaggle
• Publications in top-tier machine learning and data science conferences or journals (e.g., NeurIPS, KDD, CVPR, ICML, ACL, AAAI, COLT, AISTATS, WWW, SIGIR, IJCAI, etc.)
• Substantial hands-on experience in machine learning projects, particularly those with significant impact or visibility

• Seniority level Entry level

• Employment type Full-time

• Job function Research

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Wan Chai District, Hong Kong SAR 2 weeks 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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Direct message the job poster from AAA Global

Industry: Quantitative Research / Artificial Intelligence

Experience: Mid to Senior Level (Academic or Industry Research)

Employment Terms: Full-time

Compensation: $150,000–$50,000 USD

The Role – Machine Learning Researcher

A leading quantitative research group is seeking exceptional machine learning researchers to join their growing team. You will collaborate with experienced ML scientists and quant researchers to apply cutting-edge ML techniques to unique, proprietary datasets and develop high-impact trading signals.

This is a rare opportunity to work on research that leads directly to real-world results — no prior experience in finance is required.

Responsibilities And Priorities:

• Own the full lifecycle of ML research projects — from ideation and implementation to validation and deployment

• Adapt and extend existing models across ML fields to uncover predictive patterns in noisy, high-dimensional datasets

• Explore novel approaches to enhance portfolio performance and prediction capabilities

• Stay current with developments in AI/ML and bring new tools and ideas into the research workflow

• Collaborate with a highly technical and experienced team in a low-ego, results-oriented environment

Requirements:

• Master’s or PhD in machine learning, computer science, statistics, or a related discipline

• Prior experience conducting ML research with large, imperfect datasets

• Strong proficiency in Python and ML libraries such as Torch, JAX, or TensorFlow

• Understanding of modern sequence models, graph neural networks, reinforcement learning, or LLMs

• Familiarity with cluster computing environments and software engineering best practices (e.g., source control, testing)

• Strong analytical and quantitative skills; able to approach complex problems methodically

• Excellent written and verbal communication skills

• Team player with a collaborative mindset and high ethical standards

The Profile – Your Expertise

We're looking for inventive, self-directed researchers who are excited by the application of machine learning to real-world problems. You’ll thrive in this role if you enjoy taking ownership of ideas and developing them rigorously — with the space, resources, and data to see your work deliver real impact.

Experience, Ability And Knowledge:

• Demonstrated success in ML research (academic, open source, or industry)

• Ability to independently drive research projects

• Depth in one or more ML domains (e.g., generative models, graph-based ML, deep learning, RL)

• An appreciation for reproducibility, clarity, and collaborative workflows

Who You Are, What We Need:

• A clear thinker with strong written and verbal communication skills

• Self-motivated and comfortable in a highly technical peer group

• Open-minded and pragmatic when testing ideas and choosing methods

• Committed to the highest standards of professional conduct

The Package

• Annual base salary range: $150,000–$250,000 USD

• Discretionary bonus compens tion

• High-impact role with autonomy and ownership

• Access to one of the most interesting ML datasets in the space

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Finance

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