49 AI Ml jobs in Hong Kong

Description
*HK visa sponsorship provided*
Would you like to join one of the fastest-growing teams within Amazon Web Services (AWS) and shape the future of human-AI collaboration? Join us in helping customers across all industries to maximize the value and benefits of AWS Generative AI services while pioneering innovative AI agent solutions that transform how we work.
As a Technical Account Manager (TAM) specializing in Generative AI in AWS Enterprise Support, you will play a crucial role in two transformative missions: guiding customers' AI initiatives across AWS's comprehensive AI/ML portfolio, and spearheading the development of collaborative AI agents that revolutionize TAM operations. This is not a sales role, but rather a unique opportunity to serve as both an AI transformation advisor and innovation leader, working with organizations ranging from start-ups to Fortune 500 enterprises.
Within the Enterprise Support team, TAMs focusing on Generative AI contribute significantly to ensuring the success of key enterprise customers in their AI journey while also driving internal innovation. As a strategic expert, you'll architect AI solutions, guide technology adoption, and pioneer new ways for humans and AI to work together. This support extends from strategic planning to implementation guidance, while simultaneously developing internal AI agent solutions that showcase the art of possible in human-AI collaboration.
Every day will bring new and exciting challenges on the job while you:
- Act as a strategic advisor for customers' Generative AI initiatives and internal AI agent innovation
- Drive the development and implementation of collaborative AI agents within the TAM organization
- Lead technical discussions around AWS AI services including Bedrock, Claude, and Amazon Q.
- Make recommendations on AI architecture, security, cost optimization, and operational excellence
- Champion internal AI agent success stories to inspire customer innovation
- Complete analysis and present periodic reviews of AI workload performance
- Guide customers in developing responsible AI practices while ensuring security and compliance
- Foster an ecosystem where AI and humans progress together through knowledge sharing
- Work with AWS AI/ML service teams to advocate for customer needs
- Participate in customer requested meetings (onsite or via phone)
- Work directly with Amazon Web Service engineers to ensure rapid resolution of AI-related issues
- Available in non-business hours to handle urgent issues
Location: Beijing, Shanghai, Guangzhou, Shenzhen, Hong Kong (HK visa sponsorship available)
About the team
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Deep understanding of Generative AI fundamentals, Large Language Models, and core AI/ML concepts
- Excellent theoretical foundation in AI technologies and their underlying principles
- Excellent empirical reasoning skills with ability to formulate theories, make predictions, validate and refine solutions
Preferred Qualifications
- Master's degree in Computer Science, Artificial Intelligence, Machine Learning or related technical field
- Demonstrated ability to build systematic knowledge frameworks across technology stacks
- Experience with implementing enterprise-scale AI/ML solutions
- Experience with AWS core services across Compute, Storage, Database, and Networking
- Knowledge of cloud architecture patterns and distributed systems, cloud security principles and compliance frameworks
- Experience with container technologies and serverless architectures, modern software development practices and DevOps
- Excellence in stakeholder management and technical communication
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Job ID: 3059489 | Amazon Web Services Hong Kong Limited

*HK visa sponsorship provided*
Would you like to join one of the fastest-growing teams within Amazon Web Services (AWS) and shape the future of human-AI collaboration? Join us in helping customers across all industries to maximize the value and benefits of AWS Generative AI services while pioneering innovative AI agent solutions that transform how we work.
As a Technical Account Manager (TAM) specializing in Generative AI in AWS Enterprise Support, you will play a crucial role in two transformative missions: guiding customers' AI initiatives across AWS's comprehensive AI/ML portfolio, and spearheading the development of collaborative AI agents that revolutionize TAM operations. This is not a sales role, but rather a unique opportunity to serve as both an AI transformation advisor and innovation leader, working with organizations ranging from start-ups to Fortune 500 enterprises.
Within the Enterprise Support team, TAMs focusing on Generative AI contribute significantly to ensuring the success of key enterprise customers in their AI journey while also driving internal innovation. As a strategic expert, you'll architect AI solutions, guide technology adoption, and pioneer new ways for humans and AI to work together. This support extends from strategic planning to implementation guidance, while simultaneously developing internal AI agent solutions that showcase the art of possible in human-AI collaboration.
Every day will bring new and exciting challenges on the job while you:
- Act as a strategic advisor for customers' Generative AI initiatives and internal AI agent innovation
- Drive the development and implementation of collaborative AI agents within the TAM organization
- Lead technical discussions around AWS AI services including Bedrock, Claude, and Amazon Q.
- Make recommendations on AI architecture, security, cost optimization, and operational excellence
- Champion internal AI agent success stories to inspire customer innovation
- Complete analysis and present periodic reviews of AI workload performance
- Guide customers in developing responsible AI practices while ensuring security and compliance
- Foster an ecosystem where AI and humans progress together through knowledge sharing
- Work with AWS AI/ML service teams to advocate for customer needs
- Participate in customer requested meetings (onsite or via phone)
- Work directly with Amazon Web Service engineers to ensure rapid resolution of AI-related issues
- Available in non-business hours to handle urgent issues
Location: Beijing, Shanghai, Guangzhou, Shenzhen, Hong Kong (HK visa sponsorship available)
About the team
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

BASIC QUALIFICATIONS

- Deep understanding of Generative AI fundamentals, Large Language Models, and core AI/ML concepts
- Excellent theoretical foundation in AI technologies and their underlying principles
- Excellent empirical reasoning skills with ability to formulate theories, make predictions, validate and refine solutions

PREFERRED QUALIFICATIONS

- Master's degree in Computer Science, Artificial Intelligence, Machine Learning or related technical field
- Demonstrated ability to build systematic knowledge frameworks across technology stacks
- Experience with implementing enterprise-scale AI/ML solutions
- Experience with AWS core services across Compute, Storage, Database, and Networking
- Knowledge of cloud architecture patterns and distributed systems, cloud security principles and compliance frameworks
- Experience with container technologies and serverless architectures, modern software development practices and DevOps
- Excellence in stakeholder management and technical communication
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

#J-18808-Ljbffr

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hourse! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions
  
  

What we are looking for in you

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events up to two weeks long
  
  

Additional Skills That Would Be Nice To Have



The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

• Hands-on experience with machine learning libraries, or tools.
• Proven track record of building highly automated machine learning solutions for the cloud.
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project
  
  

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events
  
  

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Hong Kong SAR $35,000 - $0,000 2 months ago

Hong Kong, Hong Kong SAR 130,000 - 180,000 1 month ago

Senior Full Stack Engineer (Remote - Hong Kong) Principal Engineer (Remote - Europe or Asia) Software Engineer - Cross-platform C++ - Multipass

Hong Kong, Hong Kong SAR 130,000 - 180,000 1 month ago

Blockchain Software Engineer - Rust/ Smart Contract

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

#J-18808-Ljbffr

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.
As a software engineer on the team, you'll collaborate on an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hourse! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
What your day will look like

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions
  

What we are looking for in you

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events up to two weeks long
  

Additional Skills That Would Be Nice To Have
The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

• Hands-on experience with machine learning libraries, or tools.
• Proven track record of building highly automated machine learning solutions for the cloud.
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project
  

What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events
  

About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Hong Kong SAR $35,000 - $0,000 2 months ago

Hong Kong, Hong Kong SAR 130,000 - 180,000 1 month ago

Senior Full Stack Engineer (Remote - Hong Kong) Principal Engineer (Remote - Europe or Asia) Software Engineer - Cross-platform C++ - Multipass

Hong Kong, Hong Kong SAR 130,000 - 180,000 1 month ago

Blockchain Software Engineer - Rust/ Smart Contract

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

#J-18808-Ljbffr

Join to apply for the Data Science, Principal role at AIA Hong Kong and Macau

1 week ago Be among the first 25 applicants

Join to apply for the Data Science, Principal role at AIA Hong Kong and Macau

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

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.

As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.

To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.

If you believe in developing a better tomorrow, read on.

About The Role

The candidate will be a passionate and forward-thinking GenAI Data Scientist to support company’s key business initiatives and projects. S/he will be responsible for curating and developing technical capabilities for the Data Science Team, from gatekeeping the choice of technologies to the implementation of technical solutions.

The right person for this role will be someone who has experience in driving scalable technical solutions in data and AI projects. We expect the candidate to be open-minded, have good interpersonal skills, supportive of the development of the team and can drive business objectives through collaboration. We expect the candidate to be a hands-on thought leader, capable of both high-level strategic thinking as well as hands on ability to execute.

Roles And Responsibilities

Functional Duties (80%)

• Design and implement data and AI models to support use cases for various business functions.
• Promote re-use and cross business function awareness of best practices, challenges, etc.
• Build and launch excellent productionalized, low-maintenance models and AI solutions.
• Explore and leverage state of the art AI/ML techniques for a variety of problems at the intersection of AI/ML.
• Develop, maintain and enhance AI/ML solutions that are highly usable, scalable, secure, and able to be utilized in high volume distributed data.
• Partner with architecture team, application teams and data analytics platform team to streamline our systems architecture, tech stack, and internal framework to support a central analytics function.
• Lead efforts to select and implement the AI and analytics technologies required to support AIA HK business initiatives.
• Drive technology investments that utilize AI and analytics as strategic tool.
• Define the most important growth metrics that track the business’s performance across different functions and utilize those to affect change.
• Partner with stakeholders within the organization to identify and execute on analytical needs/gaps.
• Experience developing and deploying AI/ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
• Promote and educate responsible use of AI to all stakeholders in the organization
  
  
  

People Management Duties (20%)

• Direct activities of a team of data scientist and analysts, and project team members.
• Identify, train and develop potential data scientists.
• Implement staff management activities to align with company directive.
  
  
  

Job Requirements

• Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related discipline
• 10+ years of relevant experience, at least 1 year in GenAI
• Excellent analytical capability and understanding of various AI and analytical techniques
• Proficiency in Python, SQL, Azure Cloud (or other cloud providers), secure provisioning on AOAI, API servicing (Docker, Kubernetes), big data open-source solutions such as Spark
• Knowledge and experience of Software Development best practices (CI/CD pipelines, version control, etc)
• Demonstrated skill, comfort, and success in leading teams to deliver on AI and analytics projects.
• A track record of using quantitative analysis to inform commercialization decisions and product roadmaps.
• Demonstrated business acumen, analytical skills and ability to link strategies to business priorities and initiatives.
• Proven track record of delivering results in a dynamic high-growth environment with aggressive timelines.
• Ability to proactively identify gap and address AI and data analytics related issues
• Ability to learn and adapt quickly to new business domains and technologies.
• Ability to conceptualize and articulate ideas clearly and concisely.
• Hands-on experience with modern enterprise data architecture and data science toolkits.
• Sound problem solving and decision-making ability
• Proven ability to identify innovation opportunities, define and deliver innovative business function
• Ability to work independently and with team members from different backgrounds
• Sound business knowledge in insurance industry
• Excellent communication, presentation, consultative and interpersonal skills
  
  
  

Others

• You are required to obtain relevant license if your job involves in regulated activities
  
  
  

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

Seniority level

• Seniority level Director

Employment type

• Employment type Full-time

Job function

• Job function Education and Training
• Industries Insurance

Referrals increase your chances of interviewing at AIA Hong Kong and Macau by 2x

Get notified about new Principal jobs in Hong Kong, Hong Kong SAR .

Assistant Vice President/ Vice President of Stay - Guest Experience

Kwun Tong District, Hong Kong SAR 1 month ago

Head of Relationship Management (Learning and Development) Head Of Upper School - International school Hong Kong– August 2025 Start, ASQ INTERNATIONAL Head of Business Development APAC - Hong Kong Head of Industry, eCommerce, Gaming, and Travel Assistant Vice President /Vice President of Experiences Programming Head of Senior Relationship Management (Asia South, Asia North & Australia) First Vice President / Vice President, General Administration Services Head / Senior Manager of Local Enterprise Senior Manager / Assistant Vice President Engineering Head of Business Partnership and Marketing Vice President, Business Development Asia Pacific

Islands District, Hong Kong SAR 7 months ago

Head of Middle Office | Global-Role | Based in India Vice President, Global Business Strategy Executive

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Join to apply for the Data Science, Principal role at AIA Hong Kong and Macau

1 week ago Be among the first 25 applicants

Join to apply for the Data Science, Principal role at AIA Hong Kong and Macau

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

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
If you believe in developing a better tomorrow, read on.
About The Role
The candidate will be a passionate and forward-thinking GenAI Data Scientist to support company’s key business initiatives and projects. S/he will be responsible for curating and developing technical capabilities for the Data Science Team, from gatekeeping the choice of technologies to the implementation of technical solutions.
The right person for this role will be someone who has experience in driving scalable technical solutions in data and AI projects. We expect the candidate to be open-minded, have good interpersonal skills, supportive of the development of the team and can drive business objectives through collaboration. We expect the candidate to be a hands-on thought leader, capable of both high-level strategic thinking as well as hands on ability to execute.
Roles And Responsibilities
Functional Duties (80%)

• Design and implement data and AI models to support use cases for various business functions.
• Promote re-use and cross business function awareness of best practices, challenges, etc.
• Build and launch excellent productionalized, low-maintenance models and AI solutions.
• Explore and leverage state of the art AI/ML techniques for a variety of problems at the intersection of AI/ML.
• Develop, maintain and enhance AI/ML solutions that are highly usable, scalable, secure, and able to be utilized in high volume distributed data.
• Partner with architecture team, application teams and data analytics platform team to streamline our systems architecture, tech stack, and internal framework to support a central analytics function.
• Lead efforts to select and implement the AI and analytics technologies required to support AIA HK business initiatives.
• Drive technology investments that utilize AI and analytics as strategic tool.
• Define the most important growth metrics that track the business’s performance across different functions and utilize those to affect change.
• Partner with stakeholders within the organization to identify and execute on analytical needs/gaps.
• Experience developing and deploying AI/ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
• Promote and educate responsible use of AI to all stakeholders in the organization
  

People Management Duties (20%)

• Direct activities of a team of data scientist and analysts, and project team members.
• Identify, train and develop potential data scientists.
• Implement staff management activities to align with company directive.
  

Job Requirements

• Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related discipline
• 10+ years of relevant experience, at least 1 year in GenAI
• Excellent analytical capability and understanding of various AI and analytical techniques
• Proficiency in Python, SQL, Azure Cloud (or other cloud providers), secure provisioning on AOAI, API servicing (Docker, Kubernetes), big data open-source solutions such as Spark
• Knowledge and experience of Software Development best practices (CI/CD pipelines, version control, etc)
• Demonstrated skill, comfort, and success in leading teams to deliver on AI and analytics projects.
• A track record of using quantitative analysis to inform commercialization decisions and product roadmaps.
• Demonstrated business acumen, analytical skills and ability to link strategies to business priorities and initiatives.
• Proven track record of delivering results in a dynamic high-growth environment with aggressive timelines.
• Ability to proactively identify gap and address AI and data analytics related issues
• Ability to learn and adapt quickly to new business domains and technologies.
• Ability to conceptualize and articulate ideas clearly and concisely.
• Hands-on experience with modern enterprise data architecture and data science toolkits.
• Sound problem solving and decision-making ability
• Proven ability to identify innovation opportunities, define and deliver innovative business function
• Ability to work independently and with team members from different backgrounds
• Sound business knowledge in insurance industry
• Excellent communication, presentation, consultative and interpersonal skills
  

Others

• You are required to obtain relevant license if your job involves in regulated activities
  

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date. Seniority level

• Seniority level Director

Employment type

• Employment type Full-time

Job function

• Job function Education and Training
• Industries Insurance

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Get notified about new Principal jobs in Hong Kong, Hong Kong SAR .

Assistant Vice President/ Vice President of Stay - Guest Experience

Kwun Tong District, Hong Kong SAR 1 month ago

Head of Relationship Management (Learning and Development) Head Of Upper School - International school Hong Kong– August 2025 Start, ASQ INTERNATIONAL Head of Business Development APAC - Hong Kong Head of Industry, eCommerce, Gaming, and Travel Assistant Vice President /Vice President of Experiences Programming Head of Senior Relationship Management (Asia South, Asia North & Australia) First Vice President / Vice President, General Administration Services Head / Senior Manager of Local Enterprise Senior Manager / Assistant Vice President Engineering Head of Business Partnership and Marketing Vice President, Business Development Asia Pacific

Islands District, Hong Kong SAR 7 months ago

Head of Middle Office | Global-Role | Based in India Vice President, Global Business Strategy Executive

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Join to apply for the Assistant Data Science Manager role at AXA Hong Kong and Macau

4 days ago Be among the first 25 applicants

Join to apply for the Assistant Data Science Manager role at AXA Hong Kong and Macau

• Support the development of different data science initiatives, including deep learning models and statistically advanced model scripts, to support data science and analytics initiatives on AI.
• Support the development of LLM-related projects, eg, Knowledge Bot, Document Understanding, etc.
• Support C360 Datamart enhancement and maintenance.
• Monitor and enhance the performance and effectiveness of existing models in production.
• Manage BI solution development and implementation for various MI reporting using Power BI.
• Deliver insights from the data visualization process from a customer-centric approach.
• Work on Data Science projects with different stakeholders to expand the data science discipline into the business application spectrum.
  
  

Responsibilities

• Support the development of different data science initiatives, including deep learning models and statistically advanced model scripts, to support data science and analytics initiatives on AI.
• Support the development of LLM-related projects, eg, Knowledge Bot, Document Understanding, etc.
• Support C360 Datamart enhancement and maintenance.
• Monitor and enhance the performance and effectiveness of existing models in production.
• Manage BI solution development and implementation for various MI reporting using Power BI.
• Deliver insights from the data visualization process from a customer-centric approach.
• Work on Data Science projects with different stakeholders to expand the data science discipline into the business application spectrum.
  
  

Qualifications

• Graduate or advanced degree qualification in related subjects, e.g., Data Science, Statistics, Maths, etc.
• 3-5 years of relevant working experience in the data analytics field as a statistician/analyst/data scientist.
• Have experience with Azure and Databricks, which will be a plus.
• Have hands-on experience in RAG design and implementation.
• Have hands-on experience with deep learning frameworks like Tensorflow, PyTorch.
• Good knowledge of the model development process like data cleansing, feature engineering, model training, and validation, and have a good understanding of the algorithms behind.
• Familiar with data science libraries like Pandas, Spark, Numpy, Scikit-learn, etc.
• Strong programming skills in Python and SQL.
• Have experience in web programming, which will be a plus.
• Previous exposure to/knowledge of the instance industry will be an asset.
• Proactive and with a can-do attitude.
• Good command of English, Cantonese/Mandarin.
• Candidate with less experience will be considered with a junior position
  
  

About AXA Hong Kong And Macau

AXA Hong Kong and Macau is a member of the AXA Group, a leading global insurer with presence in 50 markets and serving 95 million customers worldwide. Our purpose is to act for human progress by protecting what matters.

As one of the most diversified insurers in Hong Kong, we offer integrated solutions across Life, Health and General Insurance. We are the largest General Insurance provider and a major Health and Employee Benefits provider. Our aim is to not only be the insurer to provide comprehensive protection to our customers, but also a holistic partner to the individuals, businesses and community we serve. At the core of our service commitment is continuous product & service innovation and customer experience enrichment, which is achieved through actively listening to our customers’ needs and leveraging and investing in technology and digital transformation.

We embrace our responsibility to be a driving force against climate change and a force for good to create shared value for our community. We are proud to be the first to address the importance of mental health through different products and services and thought leading iconic research. Our overall Sustainability Strategy, with emphasis on climate strategy and biodiversity commitment, is developed based on TCFD recommendations. We are committed to integrating environmental, social and governance factors across our business and strive to contribute to a sustainable future through 3 distinct roles - as an investor, an insurer and an exemplary company.

AXA is an equal opportunity employer. We are committed to promoting Diversity and Inclusion (D&I) by creating a work environment where all employees are treated with dignity, respect, and where individual differences are valued. We welcome and treasure diverse profiles to join our big family, and to build an inclusive culture together which allows everyone to maximise their personal potential.

Our people strategies are designed to enhance employee well-being and professional growth, ultimately empowering them to excel within the company.

Click here to learn more about our Benefits ( , Culture ( & Career Development ( level

• Seniority level Not Applicable

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Insurance

Referrals increase your chances of interviewing at AXA Hong Kong and Macau by 2x

Get notified about new Data Science Manager jobs in Hong Kong, Hong Kong SAR .

Senior Vice President/Vice President, Data Scientist (Team Lead), Data Chapter Senior Data & AI Program Manager - Data Science & Governance Manager, Data Analytics (Operations Analytics) (HK) Associate Manager, Consumer Insights (Qualitative) Analytics Manager (Business Banking) - Big data & AI Senior Manager, Operations Analytics & AI Enablement

Kwun Tong District, Hong Kong SAR 1 month ago

Assistant Manager / Manager, Integrated Risk Analytics Manager, Data Analytics & Administration Manager, Customer Insights & Community Development Assistant Manager, Integrated Risk Analytics Manager, Operations Governance (Data Analytics) Manager, Campaign Management, Data Analytics

Kwun Tong District, Hong Kong SAR 3 months ago

Manager, Business Proposition (Consulting and Analytics)

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Sia Partners is a next-generation consulting firm focused on delivering superior value and tangible results to its clients as they navigate the digital revolution. With over 2,400 consultants in 17 countries, we generate an annual turnover of USD 300 million. Our global footprint and expertise in more than 30 sectors and services enable us to enhance our clients' businesses worldwide.

We guide projects and initiatives in strategy, business transformation, IT & digital strategy, and Data Science. As a pioneer of Consulting 4.0, we develop consulting bots and integrate AI into our solutions.

In 2024, we announced a partnership with Blackstone as our first financial investor since inception to support our growth. We have been ranked by Vault as a Top 20 Consulting Firm to work for in the APAC region for 2025.

Job Description

As a Data Science & Analytics Consultant, you will work on local and international client engagements, focusing on data acquisition, exploration, modeling, and presenting results to stakeholders.

You will also contribute to internal data science projects on Heka, our internal accelerator for data science initiatives: . As part of the global data science team, you will help develop solutions tailored to client needs.

Key Responsibilities

• Identify, acquire, process, and explore relevant data sources.
• Analyze large structured and unstructured datasets to discover trends and patterns.
• Use data analytics and machine learning to derive insights, build models, and algorithms.
• Communicate findings through presentations, dashboards, datasets, and automation tools.
• Propose solutions and strategies for business challenges.
• Collaborate with engineering and product teams.
• Contribute to a range of deliverables including models, algorithms, datasets, and tools.
• Promote data science practices through training, upskilling, and business development.

Qualifications

• 1-3 years' experience as a Data Scientist or Data Analyst, preferably in consulting.
• Bachelor’s degree or higher in Data Science, Business Analytics, Statistics, Economics, or related fields from a top university.
• Proficiency in Python and ideally another analytical language like R or SQL.
• Strong problem-solving skills and business acumen.
• Excellent communication and presentation skills.
• Fluency in English and Chinese (Cantonese and/or Mandarin).
• Preferred: experience with data visualization tools (e.g., Tableau, PowerBI).
• Preferred: understanding of statistical techniques and machine learning.

Additional Information

What we offer:

• Competitive salary and benefits.
• Training resources for professional development.
• Opportunities to work with top clients across sectors in HK and beyond.
• Dynamic environment with responsibilities for early-career professionals.

Sia is an equal opportunity employer. Employment decisions are based on performance, competence, conduct, and business needs.

Job Details

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Consulting

#J-18808-Ljbffr

Join to apply for the Assistant Data Science Manager role at AXA Hong Kong and Macau

4 days ago Be among the first 25 applicants

Join to apply for the Assistant Data Science Manager role at AXA Hong Kong and Macau

• Support the development of different data science initiatives, including deep learning models and statistically advanced model scripts, to support data science and analytics initiatives on AI.
• Support the development of LLM-related projects, eg, Knowledge Bot, Document Understanding, etc.
• Support C360 Datamart enhancement and maintenance.
• Monitor and enhance the performance and effectiveness of existing models in production.
• Manage BI solution development and implementation for various MI reporting using Power BI.
• Deliver insights from the data visualization process from a customer-centric approach.
• Work on Data Science projects with different stakeholders to expand the data science discipline into the business application spectrum.
  

Responsibilities

• Support the development of different data science initiatives, including deep learning models and statistically advanced model scripts, to support data science and analytics initiatives on AI.
• Support the development of LLM-related projects, eg, Knowledge Bot, Document Understanding, etc.
• Support C360 Datamart enhancement and maintenance.
• Monitor and enhance the performance and effectiveness of existing models in production.
• Manage BI solution development and implementation for various MI reporting using Power BI.
• Deliver insights from the data visualization process from a customer-centric approach.
• Work on Data Science projects with different stakeholders to expand the data science discipline into the business application spectrum.
  

Qualifications

• Graduate or advanced degree qualification in related subjects, e.g., Data Science, Statistics, Maths, etc.
• 3-5 years of relevant working experience in the data analytics field as a statistician/analyst/data scientist.
• Have experience with Azure and Databricks, which will be a plus.
• Have hands-on experience in RAG design and implementation.
• Have hands-on experience with deep learning frameworks like Tensorflow, PyTorch.
• Good knowledge of the model development process like data cleansing, feature engineering, model training, and validation, and have a good understanding of the algorithms behind.
• Familiar with data science libraries like Pandas, Spark, Numpy, Scikit-learn, etc.
• Strong programming skills in Python and SQL.
• Have experience in web programming, which will be a plus.
• Previous exposure to/knowledge of the instance industry will be an asset.
• Proactive and with a can-do attitude.
• Good command of English, Cantonese/Mandarin.
• Candidate with less experience will be considered with a junior position
  

About AXA Hong Kong And Macau
AXA Hong Kong and Macau is a member of the AXA Group, a leading global insurer with presence in 50 markets and serving 95 million customers worldwide. Our purpose is to act for human progress by protecting what matters.
As one of the most diversified insurers in Hong Kong, we offer integrated solutions across Life, Health and General Insurance. We are the largest General Insurance provider and a major Health and Employee Benefits provider. Our aim is to not only be the insurer to provide comprehensive protection to our customers, but also a holistic partner to the individuals, businesses and community we serve. At the core of our service commitment is continuous product & service innovation and customer experience enrichment, which is achieved through actively listening to our customers’ needs and leveraging and investing in technology and digital transformation.
We embrace our responsibility to be a driving force against climate change and a force for good to create shared value for our community. We are proud to be the first to address the importance of mental health through different products and services and thought leading iconic research. Our overall Sustainability Strategy, with emphasis on climate strategy and biodiversity commitment, is developed based on TCFD recommendations. We are committed to integrating environmental, social and governance factors across our business and strive to contribute to a sustainable future through 3 distinct roles - as an investor, an insurer and an exemplary company.
AXA is an equal opportunity employer. We are committed to promoting Diversity and Inclusion (D&I) by creating a work environment where all employees are treated with dignity, respect, and where individual differences are valued. We welcome and treasure diverse profiles to join our big family, and to build an inclusive culture together which allows everyone to maximise their personal potential.
Our people strategies are designed to enhance employee well-being and professional growth, ultimately empowering them to excel within the company.
Click here to learn more about our Benefits ( , Culture ( & Career Development ( level

• Seniority level Not Applicable

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Insurance

Referrals increase your chances of interviewing at AXA Hong Kong and Macau by 2x

Get notified about new Data Science Manager jobs in Hong Kong, Hong Kong SAR .

Senior Vice President/Vice President, Data Scientist (Team Lead), Data Chapter Senior Data & AI Program Manager - Data Science & Governance Manager, Data Analytics (Operations Analytics) (HK) Associate Manager, Consumer Insights (Qualitative) Analytics Manager (Business Banking) - Big data & AI Senior Manager, Operations Analytics & AI Enablement

Kwun Tong District, Hong Kong SAR 1 month ago

Assistant Manager / Manager, Integrated Risk Analytics Manager, Data Analytics & Administration Manager, Customer Insights & Community Development Assistant Manager, Integrated Risk Analytics Manager, Operations Governance (Data Analytics) Manager, Campaign Management, Data Analytics

Kwun Tong District, Hong Kong SAR 3 months ago

Manager, Business Proposition (Consulting and Analytics)

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

#J-18808-Ljbffr