207 AI Intern jobs in Hong Kong

Senior Data Science Manager - Data & AI

AXA Hong Kong and Macau

Posted 10 days ago

Job Viewed

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Job Description

Join to apply for the Senior Data Science Manager - Data & AI role at AXA Hong Kong and Macau

1 day ago Be among the first 25 applicants

Join to apply for the Senior Data Science Manager - Data & AI role at AXA Hong Kong and Macau

Direct message the job poster from 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 (

We are seeking a highly experienced and strategic Senior Data Science & AI Manager to lead our Data & AI Center of Excellence (CoE). Reporting to the Data Science and Management Director, you will oversee a talented team of five data science analysts and act as a core business partner. This role demands a proactive leader with strong technical expertise, excellent stakeholder management, and a proven track record in delivering impactful data and AI solutions that support operational excellence and strategic business needs.

Responsibilities:

  • Lead, mentor, and inspire a high-performing team of data science analysts, fostering a culture of innovation, continuous learning, and results-driven delivery.
  • Demonstrate strong leadership presence, proactively driving the adoption and integration of AI and Data solutions across the organization.
  • Drive end-to-end delivery of high-impact Data & AI use cases, ensuring alignment with operational and business objectives, with a focus on automation, efficiency, and strategic growth.
  • Develop and implement scalable data pipelines, Data Marts, and data products on Azure Cloud and Databricks, leveraging Python, PySpark, and modern cloud tools.
  • Lead the deployment of advanced machine learning models, Large Language Models (LLMs), and Generative AI solutions (e.g., Document Understanding, Summarization, Retrieval-Augmented Generation) with a proven track record of successful use case implementations.
  • Build and nurture strong data business partnerships by understanding business acumen, translating complex data insights into actionable strategies, and managing mature stakeholder relationships.
  • Support organizational change by knowledge transfer, upskilling team members in AI/ML techniques, cloud engineering, and emerging technologies.
  • Promote best practices in AI, cloud data engineering, and analytics, ensuring high-quality, timely delivery of initiatives while maintaining operational excellence.
  • Proactively identify new opportunities for data-driven automation and AI innovation that can create sustainable business value.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, AI Engineering, or a related field.
  • 8+ years of experience in data science, AI, or machine learning, with at least 3+ years in a senior leadership or managerial capacity.
  • Proven ability to drive strategic AI use cases supporting operations and business needs, with a strong portfolio of successful LLM and GenAI deployments.
  • Extensive hands-on experience with Azure Cloud, Databricks, data pipeline development, and cloud data engineering.
  • Strong expertise in building, deploying, and operationalizing machine learning models, especially LLMs, with a track record of delivering tangible business impact.
  • Deep understanding of business processes, with the ability to act as a mature and trusted data business partner.
  • Excellent stakeholder management skills, capable of managing complex relationships and influencing senior leadership.
  • Strong leadership presence, with the ability to motivate, develop, and upskill teams effectively.
  • Proactive, innovative, and self-driven, with a demonstrated ability to anticipate future needs and lead change initiatives.
  • Outstanding communication skills, capable of translating technical concepts for non-technical audiences and fostering cross-functional collaboration.
Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Analyst, Science, and Strategy/Planning
  • 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 Wong Chuk Hang, Hong Kong SAR .

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

Kwun Tong District, Hong Kong SAR 1 month ago

Assistant Manager, Integrated Risk Analytics Manager, Data Analytics & Administration Manager, Customer Insights & Community Development Manager, Operations Governance (Data 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) Senior Manager, Performance Management & Actuarial

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Senior Data Science Manager – Data & AI

AXA Hong Kong and Macau

Posted 10 days ago

Job Viewed

Tap Again To Close

Job Description

Join to apply for the Senior Data Science Manager – Data & AI role at AXA Hong Kong and Macau

2 days ago Be among the first 25 applicants

Join to apply for the Senior Data Science Manager – Data & AI role at AXA Hong Kong and Macau

We are seeking a highly experienced and strategic Senior Data Science & AI Manager to lead our Data & AI Center of Excellence (CoE). Reporting to the Data Science and Management Director, you will oversee a talented team of five data science analysts and act as a core business partner. This role demands a proactive leader with strong technical expertise, excellent stakeholder management, and a proven track record in delivering impactful data and AI solutions that support operational excellence and strategic business needs.

Key Responsibilities

  • Lead, mentor, and inspire a high-performing team of data science analysts, fostering a culture of innovation, continuous learning, and results-driven delivery.
  • Demonstrate strong leadership presence, proactively driving the adoption and integration of AI and Data solutions across the organization.
  • Drive end-to-end delivery of high-impact Data & AI use cases, ensuring alignment with operational and business objectives, with a focus on automation, efficiency, and strategic growth.
  • Develop and implement scalable data pipelines, Data Marts, and data products on Azure Cloud and Databricks, leveraging Python, PySpark, and modern cloud tools.
  • Lead the deployment of advanced machine learning models, Large Language Models (LLMs), and Generative AI solutions (e.g., Document Understanding, Summarization, Retrieval-Augmented Generation) with a proven track record of successful use case implementations.
  • Build and nurture strong data business partnerships by understanding business acumen, translating complex data insights into actionable strategies, and managing mature stakeholder relationships.
  • Support organizational change by knowledge transfer, upskilling team members in AI/ML techniques, cloud engineering, and emerging technologies.
  • Promote best practices in AI, cloud data engineering, and analytics, ensuring high-quality, timely delivery of initiatives while maintaining operational excellence.
  • Proactively identify new opportunities for data-driven automation and AI innovation that can create sustainable business value.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, AI Engineering, or a related field.
  • 8+ years of experience in data science, AI, or machine learning, with at least 3+ years in a senior leadership or managerial capacity.
  • Proven ability to drive strategic AI use cases supporting operations and business needs, with a strong portfolio of successful LLM and GenAI deployments.
  • Extensive hands-on experience with Azure Cloud, Databricks, data pipeline development, and cloud data engineering.
  • Strong expertise in building, deploying, and operationalizing machine learning models, especially LLMs, with a track record of delivering tangible business impact.
  • Deep understanding of business processes, with the ability to act as a mature and trusted data business partner.
  • Excellent stakeholder management skills, capable of managing complex relationships and influencing senior leadership.
  • Strong leadership presence, with the ability to motivate, develop, and upskill teams effectively.
  • Proactive, innovative, and self-driven, with a demonstrated ability to anticipate future needs and lead change initiatives.
  • Outstanding communication skills, capable of translating technical concepts for non-technical audiences and fostering cross-functional collaboration.

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 (

Seniority 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 Assistant Manager, Integrated Risk Analytics Manager, Customer Insights & Community Development 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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Senior Data Science Manager - Data & AI

Hong Kong, Hong Kong AXA Hong Kong and Macau

Posted 3 days ago

Job Viewed

Tap Again To Close

Job Description

Join to apply for the Senior Data Science Manager - Data & AI role at AXA Hong Kong and Macau

1 day ago Be among the first 25 applicants

Join to apply for the Senior Data Science Manager - Data & AI role at AXA Hong Kong and Macau

Direct message the job poster from 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 (

We are seeking a highly experienced and strategic Senior Data Science & AI Manager to lead our Data & AI Center of Excellence (CoE). Reporting to the Data Science and Management Director, you will oversee a talented team of five data science analysts and act as a core business partner. This role demands a proactive leader with strong technical expertise, excellent stakeholder management, and a proven track record in delivering impactful data and AI solutions that support operational excellence and strategic business needs.

Responsibilities:

  • Lead, mentor, and inspire a high-performing team of data science analysts, fostering a culture of innovation, continuous learning, and results-driven delivery.
  • Demonstrate strong leadership presence, proactively driving the adoption and integration of AI and Data solutions across the organization.
  • Drive end-to-end delivery of high-impact Data & AI use cases, ensuring alignment with operational and business objectives, with a focus on automation, efficiency, and strategic growth.
  • Develop and implement scalable data pipelines, Data Marts, and data products on Azure Cloud and Databricks, leveraging Python, PySpark, and modern cloud tools.
  • Lead the deployment of advanced machine learning models, Large Language Models (LLMs), and Generative AI solutions (e.g., Document Understanding, Summarization, Retrieval-Augmented Generation) with a proven track record of successful use case implementations.
  • Build and nurture strong data business partnerships by understanding business acumen, translating complex data insights into actionable strategies, and managing mature stakeholder relationships.
  • Support organizational change by knowledge transfer, upskilling team members in AI/ML techniques, cloud engineering, and emerging technologies.
  • Promote best practices in AI, cloud data engineering, and analytics, ensuring high-quality, timely delivery of initiatives while maintaining operational excellence.
  • Proactively identify new opportunities for data-driven automation and AI innovation that can create sustainable business value.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, AI Engineering, or a related field.
  • 8+ years of experience in data science, AI, or machine learning, with at least 3+ years in a senior leadership or managerial capacity.
  • Proven ability to drive strategic AI use cases supporting operations and business needs, with a strong portfolio of successful LLM and GenAI deployments.
  • Extensive hands-on experience with Azure Cloud, Databricks, data pipeline development, and cloud data engineering.
  • Strong expertise in building, deploying, and operationalizing machine learning models, especially LLMs, with a track record of delivering tangible business impact.
  • Deep understanding of business processes, with the ability to act as a mature and trusted data business partner.
  • Excellent stakeholder management skills, capable of managing complex relationships and influencing senior leadership.
  • Strong leadership presence, with the ability to motivate, develop, and upskill teams effectively.
  • Proactive, innovative, and self-driven, with a demonstrated ability to anticipate future needs and lead change initiatives.
  • Outstanding communication skills, capable of translating technical concepts for non-technical audiences and fostering cross-functional collaboration.
Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Analyst, Science, and Strategy/Planning
  • 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 Wong Chuk Hang, Hong Kong SAR .

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

Kwun Tong District, Hong Kong SAR 1 month ago

Assistant Manager, Integrated Risk Analytics Manager, Data Analytics & Administration Manager, Customer Insights & Community Development Manager, Operations Governance (Data 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) Senior Manager, Performance Management & Actuarial

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
This advertiser has chosen not to accept applicants from your region.

Senior Data Science Manager – Data & AI

Hong Kong, Hong Kong AXA Hong Kong and Macau

Posted 3 days ago

Job Viewed

Tap Again To Close

Job Description

Join to apply for the Senior Data Science Manager – Data & AI role at AXA Hong Kong and Macau

2 days ago Be among the first 25 applicants

Join to apply for the Senior Data Science Manager – Data & AI role at AXA Hong Kong and Macau

We are seeking a highly experienced and strategic Senior Data Science & AI Manager to lead our Data & AI Center of Excellence (CoE). Reporting to the Data Science and Management Director, you will oversee a talented team of five data science analysts and act as a core business partner. This role demands a proactive leader with strong technical expertise, excellent stakeholder management, and a proven track record in delivering impactful data and AI solutions that support operational excellence and strategic business needs.
Key Responsibilities

  • Lead, mentor, and inspire a high-performing team of data science analysts, fostering a culture of innovation, continuous learning, and results-driven delivery.
  • Demonstrate strong leadership presence, proactively driving the adoption and integration of AI and Data solutions across the organization.
  • Drive end-to-end delivery of high-impact Data & AI use cases, ensuring alignment with operational and business objectives, with a focus on automation, efficiency, and strategic growth.
  • Develop and implement scalable data pipelines, Data Marts, and data products on Azure Cloud and Databricks, leveraging Python, PySpark, and modern cloud tools.
  • Lead the deployment of advanced machine learning models, Large Language Models (LLMs), and Generative AI solutions (e.g., Document Understanding, Summarization, Retrieval-Augmented Generation) with a proven track record of successful use case implementations.
  • Build and nurture strong data business partnerships by understanding business acumen, translating complex data insights into actionable strategies, and managing mature stakeholder relationships.
  • Support organizational change by knowledge transfer, upskilling team members in AI/ML techniques, cloud engineering, and emerging technologies.
  • Promote best practices in AI, cloud data engineering, and analytics, ensuring high-quality, timely delivery of initiatives while maintaining operational excellence.
  • Proactively identify new opportunities for data-driven automation and AI innovation that can create sustainable business value.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, AI Engineering, or a related field.
  • 8+ years of experience in data science, AI, or machine learning, with at least 3+ years in a senior leadership or managerial capacity.
  • Proven ability to drive strategic AI use cases supporting operations and business needs, with a strong portfolio of successful LLM and GenAI deployments.
  • Extensive hands-on experience with Azure Cloud, Databricks, data pipeline development, and cloud data engineering.
  • Strong expertise in building, deploying, and operationalizing machine learning models, especially LLMs, with a track record of delivering tangible business impact.
  • Deep understanding of business processes, with the ability to act as a mature and trusted data business partner.
  • Excellent stakeholder management skills, capable of managing complex relationships and influencing senior leadership.
  • Strong leadership presence, with the ability to motivate, develop, and upskill teams effectively.
  • Proactive, innovative, and self-driven, with a demonstrated ability to anticipate future needs and lead change initiatives.
  • Outstanding communication skills, capable of translating technical concepts for non-technical audiences and fostering cross-functional collaboration.
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 (

Seniority 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 Assistant Manager, Integrated Risk Analytics Manager, Customer Insights & Community Development 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
This advertiser has chosen not to accept applicants from your region.

Artificial Intelligence (AI) Engineer

PAObank

Posted 10 days ago

Job Viewed

Tap Again To Close

Job Description

  • Focus on transitioning machine learning models from development to business application with high performance, ensuring successful deployment of the models and integration into existing systems and infrastructure
  • Collaborate with business users, developers, infrastructure team and relevant external parties to work on machine learning models that can meet the target business requirements and performance.
  • Design and implement machine learning inference for running the models to work on live data and produce an actionable output efficiently.
  • Prepare technical documents and reports.
  • Participate in project meetings to report responsible tasks progress and follow-up actions

Requirements:

  • Degree holder in Computer Science, Data Science or relevant discipline;
  • At least 3 years of IT work experiences with minimum 2 years of practical experiences in deployment / performance tuning of AI models (for text analytics) and delivering complex data integration projects
  • Knowledgeable in supervised machine learning algorithms particularly BERT LLM and LightGBM Random-forest model
  • Proficiency in Python programming using essential libraries such as NumPy, Pandas, Scikit-learn, PyTorch, etc. Familiar with ONNX framework for model deployment and FLASK API python development are a plus
  • Capable of design and implementation of web application using Java, Spring Boot, Spring Data / JPA and Oracle database is definite an advantage.
  • Excellent problem-solving abilities
  • Strong communication and presentation skill;,
  • Good communication skill in both spoken and written English and Chinese.

Personal information collected is strictly for recruitment purpose only.

Seniority level
  • Seniority level Associate
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology and Strategy/Planning
  • Industries Banking

Referrals increase your chances of interviewing at PAObank by 2x

Get notified about new Artificial Intelligence Engineer jobs in Hong Kong, Hong Kong SAR .

Junior Data Center Engineer - Global Hedge Fund - Hong Kong Data Scientist, Global Insurance Company, 60-75k Python Senior Software Engineer (Financial Data) Senior Data Engineer - US Tech Firm - Up to HKD$120k Data Engineer – Exchange Fund Investment Office Quantitative Software Engineer – Financial Data & Trading Systems Data Scientist - Stable projects - Max 45K

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Artificial Intelligence Engineer (AI)

Nicoll Curtin

Posted 10 days ago

Job Viewed

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Job Description

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Direct message the job poster from Nicoll Curtin

We are seeking a skilled AI Developer to join our dynamic team in the finance industry. The successful candidate will play a crucial role in enhancing our AI products and streamlining our development processes.

Key Responsibilities

  • Develop and enhance AI applications, focusing on quick fixes and optimizations rather than creating new programs.
  • Collaborate with a small team of developers to maximize output and efficiency.
  • Maintain a strong understanding of AI trends and their application in the finance sector.
  • Manage vendor relationships and oversee outsourced projects, ensuring timely and effective delivery.
  • Diagnose and debug AI-related issues, providing swift solutions to enhance system performance.
  • Work with simple system architectures tailored for the finance industry, ensuring they meet business needs.
  • Engage in effective communication with team members and vendors, with a preference for Chinese speakers

Qualifications

  • Proven experience in AI development, particularly in the finance industry.
  • Strong debugging skills and ability to address issues promptly.
  • Familiarity with vendor management in a small firm context.
  • Ability to work under pressure and meet critical timelines.
  • Knowledge of the latest AI trends and technologies.
  • Proficiency in Chinese is essential; English communication skills are a plus.

Location

  • Candidates based in Hong Kong or China are welcome (working in HK)

Why Join?

This is an exciting opportunity to contribute to innovative AI solutions in the finance sector. If you have a passion for technology and a keen understanding of the industry, we encourage you to apply!

Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Finance, Information Technology, and Other
  • Industries Financial Services, Investment Management, and Investment Banking

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

Sign in to set job alerts for “Artificial Intelligence Engineer” roles. Junior Data Center Engineer - Global Hedge Fund - Hong Kong Programmer / Software Engineer (AI, Python) (Telecom) Data Scientist, Global Insurance Company, 60-75k Python Senior Software Engineer (Financial Data) Senior Data Engineer - US Tech Firm - Up to HKD$120k Data Scientist - Stable projects - Max 45K Data Engineer – Exchange Fund Investment Office Quantitative Software Engineer – Financial Data & Trading Systems

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Artificial Intelligence (AI) Engineer

Hong Kong, Hong Kong PAObank

Posted 3 days ago

Job Viewed

Tap Again To Close

Job Description

  • Focus on transitioning machine learning models from development to business application with high performance, ensuring successful deployment of the models and integration into existing systems and infrastructure
  • Collaborate with business users, developers, infrastructure team and relevant external parties to work on machine learning models that can meet the target business requirements and performance.
  • Design and implement machine learning inference for running the models to work on live data and produce an actionable output efficiently.
  • Prepare technical documents and reports.
  • Participate in project meetings to report responsible tasks progress and follow-up actions

Requirements:

  • Degree holder in Computer Science, Data Science or relevant discipline;
  • At least 3 years of IT work experiences with minimum 2 years of practical experiences in deployment / performance tuning of AI models (for text analytics) and delivering complex data integration projects
  • Knowledgeable in supervised machine learning algorithms particularly BERT LLM and LightGBM Random-forest model
  • Proficiency in Python programming using essential libraries such as NumPy, Pandas, Scikit-learn, PyTorch, etc. Familiar with ONNX framework for model deployment and FLASK API python development are a plus
  • Capable of design and implementation of web application using Java, Spring Boot, Spring Data / JPA and Oracle database is definite an advantage.
  • Excellent problem-solving abilities
  • Strong communication and presentation skill;,
  • Good communication skill in both spoken and written English and Chinese.

Personal information collected is strictly for recruitment purpose only.

Seniority level
  • Seniority level Associate
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology and Strategy/Planning
  • Industries Banking

Referrals increase your chances of interviewing at PAObank by 2x

Get notified about new Artificial Intelligence Engineer jobs in Hong Kong, Hong Kong SAR .

Junior Data Center Engineer - Global Hedge Fund - Hong Kong Data Scientist, Global Insurance Company, 60-75k Python Senior Software Engineer (Financial Data) Senior Data Engineer - US Tech Firm - Up to HKD$120k Data Engineer – Exchange Fund Investment Office Quantitative Software Engineer – Financial Data & Trading Systems Data Scientist - Stable projects - Max 45K

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
This advertiser has chosen not to accept applicants from your region.
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Artificial Intelligence Engineer (AI)

Hong Kong, Hong Kong Nicoll Curtin

Posted 10 days ago

Job Viewed

Tap Again To Close

Job Description

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

Direct message the job poster from Nicoll Curtin

We are seeking a skilled AI Developer to join our dynamic team in the finance industry. The successful candidate will play a crucial role in enhancing our AI products and streamlining our development processes.

Key Responsibilities

  • Develop and enhance AI applications, focusing on quick fixes and optimizations rather than creating new programs.
  • Collaborate with a small team of developers to maximize output and efficiency.
  • Maintain a strong understanding of AI trends and their application in the finance sector.
  • Manage vendor relationships and oversee outsourced projects, ensuring timely and effective delivery.
  • Diagnose and debug AI-related issues, providing swift solutions to enhance system performance.
  • Work with simple system architectures tailored for the finance industry, ensuring they meet business needs.
  • Engage in effective communication with team members and vendors, with a preference for Chinese speakers

Qualifications

  • Proven experience in AI development, particularly in the finance industry.
  • Strong debugging skills and ability to address issues promptly.
  • Familiarity with vendor management in a small firm context.
  • Ability to work under pressure and meet critical timelines.
  • Knowledge of the latest AI trends and technologies.
  • Proficiency in Chinese is essential; English communication skills are a plus.

Location

  • Candidates based in Hong Kong or China are welcome (working in HK)

Why Join?

This is an exciting opportunity to contribute to innovative AI solutions in the finance sector. If you have a passion for technology and a keen understanding of the industry, we encourage you to apply!

Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Finance, Information Technology, and Other
  • Industries Financial Services, Investment Management, and Investment Banking

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Sign in to set job alerts for “Artificial Intelligence Engineer” roles. Junior Data Center Engineer - Global Hedge Fund - Hong Kong Programmer / Software Engineer (AI, Python) (Telecom) Data Scientist, Global Insurance Company, 60-75k Python Senior Software Engineer (Financial Data) Senior Data Engineer - US Tech Firm - Up to HKD$120k Data Scientist - Stable projects - Max 45K Data Engineer – Exchange Fund Investment Office Quantitative Software Engineer – Financial Data & Trading Systems

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AI Engineer

Kasma International (HK) Limited

Posted 10 days ago

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Job Description

On-site Full Time 3 years or below Mid-Senior level

Skills:

AI Integration, Critical thinking, Data engineering

We’re looking for passionate open source contributors—developers, researchers, and community builders—who are excited about LLM agents products!

Responsibilities

Contribute to Sagi, an open-source agent framework designed to deliver personalised, production-ready LLM agent products. Your responsibilities will include developing the following core modules:

  • Management and retrieval of the knowledge base
  • Reasoning in domain-specific areas (post-training)
  • Tool calling integration (leveraging the MCP server for tool integration)
  • Workflow Orchestrator

And more.

  • Have experience in supervision and training, and are keen to work with and help supervise/train a team of young, talented, and energetic engineers/interns.
  • Have worked with LLM agents and RAG (Retrieval-Augmented Generation) projects before; post-training experience is preferred.
  • Proficient in Python, familiar with asynchronous programming, network programming, etc.
  • Experience with DevOps and a good understanding of open source development workflows and community dynamics.
  • Team player with good communication and presentation skills.
Additional Information Job Level

Mid-Senior level

Publish Date

19/05/2025

Job Ref. No.

AI-HK003

Industry

Information Technology

Job Function

Software Development

Company Overview

Kasma - New Business Intelligence with Graph AI: Unlock the Hidden Intelligence in Your Data. Our Vision: Secure AI that unlocks the power of connections for everyone. Our Mission: Empowering businesses to transform data into strategy — safely, swiftly, smartly.

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Director, AI

Hong Kong, Hong Kong Manulife

Posted 10 days ago

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Job Description

workfromhome

Join to apply for the Director, AI role at Manulife

Join to apply for the Director, AI role at Manulife

The Director, Artificial Intelligence is a senior technical leader responsible for designing, developing, and implementing advanced AI and machine learning solutions to address strategic business challenges. This role is hands-on and project-focused, with direct accountability for delivering high-impact analytics initiatives from conception through to deployment and operationalization.

The successful candidate will apply deep expertise in machine learning, statistical modeling, and generative AI to extract insights from complex structured and unstructured data, drive business innovation, and deliver measurable value. Collaborating with business and technology stakeholders across the organization, this individual will translate data-driven findings into actionable business recommendations and champion best practices in data science.

This is a highly visible role for a self-motivated problem solver who excels at working independently, communicates effectively with technical and non-technical audiences, and is passionate about shaping the future of AI in the life insurance industry.

Position Responsibilities

  • Design, develop, and implement AI- and analytics-enabled solutions that optimize business processes, generate actionable insights, and support strategic objectives.
  • Own and deliver complex, end-to-end data science projects, from ideation and requirements gathering to model development, deployment, and monitoring.
  • Solve the most challenging and high-impact problems, using deep expertise to analyze complex datasets and deliver robust solutions.
  • Translate complex data-driven findings into clear business recommendations, effectively communicating results and actionable insights to stakeholders at all levels.
  • Collaborate cross-functionally with business leaders, product owners, and IT partners to identify opportunities for AI applications and drive adoption of data-driven decision making.
  • Drive the evolution of insight generation from descriptive to predictive and prescriptive analytics.
  • Measure, monitor, and clearly communicate the impact and ROI of analytics and AI models to both technical and non-technical audiences.
  • Champion best practices in data science, including robust model validation, performance monitoring, and governance.
  • Stay abreast of industry trends and emerging technologies, particularly in GenAI and LLMs, to continually elevate the organization’s capabilities.
  • Provide technical thought leadership and act as a subject matter expert in AI and advanced analytics across the organization.

Requirements

  • Advanced degree (PhD or Master’s) in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field; or Bachelor’s degree with equivalent relevant experience.
  • Minimum of 8 years of progressive experience in data science, machine learning, or AI, with a strong track record of delivering end-to-end data science projects as an individual contributor.
  • Deep expertise in machine learning algorithms, statistical modeling, and advanced analytics.
  • Hands-on experience with generative AI (GenAI) and large language models (LLMs) is required.
  • Experience working in an agile development environment, including running sprints and collaborating with cross-functional teams.
  • Strong programming skills in Python; familiarity with software engineering best practices.
  • Demonstrated experience applying a systematic approach to explore, analyze, and mine large, complex structured and unstructured datasets to uncover actionable insights.
  • Excellent communication, presentation, and stakeholder management skills, with the ability to make complex concepts accessible to non-technical audiences.
  • Proven ability to deliver business value through the full lifecycle of data science projects, from ideation to deployment and monitoring.
  • Prior experience in the insurance, financial services, or healthcare industries is preferred but not required.

When You Join Our Team

  • We’ll empower you to learn and grow the career you want.
  • We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
  • As part of our global team, we’ll support you in shaping the future you want to see.

About Manulife And John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact

Working Arrangement

Hybrid

Seniority level
  • Seniority level Director
Employment type
  • Employment type Full-time
Job function
  • Job function Engineering and Information Technology
  • Industries Insurance

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