What Jobs are available for Artificial Intelligence in Hong Kong?

Responsibilities

• Being responsible for keeping track of the academic and industrial progress in LMM.
• Develop the advanced high-performance LMM architecting and algorithm to help to enhance the core competitiveness and user experience of the company's related products.
• Collaborating with product groups in development of above applications and research activities.

Qualifications

• PhD/Master degree in computer vision, machine learning, computer science, mathematics, automation, or have equivalent research experiences.

Required Skills

• Have more than two years experiences in research in applying machine learning and deep learning.
• Have solid programming skills, proficient in C/C++, Python and other programming languages.
• Have good team cooperation spirit, as well as communication and coordination ability.

Preferred Skills

• Have LMM research and engineering experience.
• Have experience in world model.
• Have experience in training LM with RL.

Responsibilities

• Being responsible for keeping track of the academic and industrial progress in LMM.
• Develop the advanced high-performance LMM architecting and algorithm to help to enhance the core competitiveness and user experience of the company's related products.
• Collaborating with product groups in development of above applications and research activities.

Qualifications

• PhD/Master degree in computer vision, machine learning, computer science, mathematics, automation, or have equivalent research experiences.

Required Skills

• Have more than two years experiences in research in applying machine learning and deep learning.
• Have solid programming skills, proficient in C/C++, Python and other programming languages.
• Have good team cooperation spirit, as well as communication and coordination ability.

Preferred Skills

• Have LMM research and engineering experience.
• Have experience in world model.
• Have experience in training LM with RL.

岗位概述

我们是一家专注于公募及专户业务的资产管理公司,正在寻找一位真正
能将AI落地到业务中、提升团队效率与协作质量
的实干型专家。

这不是一个"写PPT"或"跑模型"的岗位,而是一个能让你
深入业务场景、用AI解决实际问题
的机会。

你将成为公司内部的"AI赋能引擎",通过智能化工具与自动化工作流,优化投资研究、报告撰写、合规检查、客户沟通、会议纪要等日常流程,推动整个团队的数字化转型。

核心职责

1. AI工具应用与落地

2. 熟练使用 ChatGPT、Claude、Notion AI、Zapier、、Prompt Engineering 等AI工具;

3. 设计并搭建公司内部的AI工作流,实现内容生成、数据整理、任务自动化等;

4. 优化团队的内部知识库、文件管理、会议纪要、客户邮件自动化等流程。

5. 业务流程优化

6. 分析投研、销售、合规、后台团队的日常工作流程,找出提效机会;

7. 设计标准化模板、提示词体系(prompt system)及自动化脚本;

8. 用AI连接内部与外部系统(CRM、邮件、Excel、Notion、Slack等)。

9. 团队培训与赋能

10. 定期为公司成员开展AI工具培训;

11. 推动AI文化落地,建立部门级的AI使用规范;
12. 作为"内部AI顾问",协助不同团队用AI解决日常痛点。

候选人画像

你可能具备以下特征:

• ChatGPT、Claude、Notion AI、Zapier、Make.com等AI工具的
  重度用户
  ;
• 对金融业务、投资研究、或后台流程有一定理解;
• 具备
  产品思维
  或
  运营思维
  ,喜欢系统化、结构化地解决问题;
• 热衷探索AI在实际工作场景中的落地价值;
• 能够
  亲手搭建自动化流程
  (无需工程师背景,但具备实操能力);
• 英语与中文工作流畅,能快速学习新工具。

任职要求

• 本科及以上学历,专业不限(信息系统、工程、金融、管理优先);
• 有资产管理、咨询、科技公司或创新团队背景者优先;
• 有Notion、Zapier、Make、Airtable、Google Workspace Automation或类似经验;
• 具备Prompt Engineering经验或AI工具实战案例者优先。

我们能提供

• 扁平、开放的工作氛围:你的AI方案将直接影响整个团队;
• 高度自由与试错空间:支持快速验证与内部实验;
• 与投资、研究、合规等多团队协作,真实了解金融一线;
• 有竞争力的薪酬及长期成长空间。

如果您感兴趣,-,我们的顾问会尽快联系您

About the Role

We are seeking a passionate and innovative AI Developer for our Global Retail Client to pioneer next-generation AI solutions. In this role, you will be at the forefront of designing, building, and deploying advanced systems with a primary focus on Large Language Models (LLMs) and generative AI. You will bridge the gap between cutting-edge research and real-world applications, turning complex challenges into scalable products.

Key Responsibilities

• End-to-End Model Development:
  Design, build, train, and optimize AI models using frameworks like TensorFlow and PyTorch.
• Research & Experimentation:
  Continuously explore new techniques in neural networks, prompt engineering, and model architectures to enhance performance, efficiency, and capability.
• Data & Feature Engineering:
  Perform rigorous data cleansing, preprocessing, and feature engineering to ensure high-quality inputs for model training.
• Collaborative Execution:
  Work closely with cross-functional teams, including product managers and software engineers, to define requirements, iterate on solutions, and deliver impactful results.
• Production Deployment:
  Manage the deployment, monitoring, and maintenance of AI models in live production environments.

Qualifications & Experience

Must-Have:

• A degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Data Science.
• Proven professional experience developing neural networks, statistical models, and machine learning solutions.
• Strong proficiency in
  Python
  and its core AI/ML libraries (e.g.,
  TensorFlow, PyTorch, NumPy, Pandas, Scikit-learn
  ).
• Solid hands-on experience with data and feature engineering.
• Familiarity with core AI concepts, including
  Convolutional Neural Networks (CNNs), Graph Neural Networks (GNNs), Natural Language Processing (NLP),
  and
  Image Processing
  .

Ideal Candidate:

• Experience with Large Language Models (LLMs), including training, fine-tuning, and prompt engineering.
• Familiarity with MLOps principles and tools for deploying and monitoring models in production.
• A self-motivated, growth-minded individual who is a strong team player and can adapt with agility to new challenges.

RESPONSIBILITIES

• To solve problems related to drug discovery by machine learning;

• Carry out research to advance the science and technology of AI;

• To coordinate and liaise with different parties of the project on the planning, development, and implementation of various project activities;

QUALIFICATIONS

• MsC/MPhil/PhD degree in Bioinformatics, Computational Chemistry or Computational Biology, Computer Science, Applied Mathematics, Mathematics, Statistic ;

• Experience in one of the following fields: Deep Learning or machine learning

• Capability of implementing algorithms from papers to programs, tailored to particular business needs and tested on a large dataset;

• Strong self‐learning ability, and a strong interest in machine learning in the industry;

Familiar with machine learning (Any of the following: Numpy, Pandas, Scikit‐Learn, XGboost, Pytorch, Keras, etc.);

Benefit: 5 Days work week, monthly bonus, medical allowance

Interested parties please send full resume with present & expected salary by Apply Now, or send to : 
-

Please note that only shortlisted candidate will be notified.

All information will be treated in strict confidence and solely used for recruitment purposes.

Company Description

From pioneering traditional IT integration decades ago to now reimagining the future, Witernet Ltd has evolved alongside technology's heartbeat. Today, we're crafting AI-powered solutions that don't just meet client needs – they anticipate tomorrow's challenges. Knowing that in a world racing toward intelligent automation, future-proof isn't optional. It's crucial as well as essential. And we're building those essentials for every industry.

Role Description

As an Intern/Part-Time Artificial Intelligence Engineer at our Hong Kong office (at least 2 vibrant on-site days weekly), you'll architect the brains behind autonomous systems. This isn't about tweaking algorithms – it's about engineering agentic AI solutions that give businesses their superpowers.

Qualifications

• Demonstrated strong passion and expertise in Large Language Models (LLMs) and Artificial Intelligence (AI) technologies.
• Proficient in computer programming with a solid foundation in relevant languages and frameworks.
• Committed to advancing the adoption and development of Agentic AI solutions in line with industry vision.
• Good knowledge of LLM architectures, LangChain framework, Docker containerization, and related technologies.
• Experience deploying and managing Agentic AI platforms such as MAxKB, Manus, n8n, and Dify . . . etc.
• Skilled in on-premises deployment and optimization of LLM systems to meet enterprise requirements.
• Exceptional analytical and problem-solving abilities, capable of addressing complex technical challenges.
• Growth-oriented mindset with a proactive approach to continuous learning, research, and innovation.
• Self-motivated and capable of working independently with minimal supervision while collaborating effectively within teams.

Responsibilities

• Being responsible for keeping track of the academic and industrial progress in LMM.
• Develop the advanced high-performance LMM architecting and algorithm to help to enhance the core competitiveness and user experience of the company's related products.
• Collaborating with product groups in development of above applications and research activities.

Qualifications

• PhD/Master degree in computer vision, machine learning, computer science, mathematics, automation, or have equivalent research experiences.

Required Skills

• Have more than two years experiences in research in applying machine learning and deep learning.
• Have solid programming skills, proficient in C/C++, Python and other programming languages.
• Have good team cooperation spirit, as well as communication and coordination ability.

Preferred Skills

• Have LMM research and engineering experience.
• Have experience in world model.
• Have experience in training LM with RL.

Company Description

Turoid is building the next-generation wealth management operating system. Our flagship product,
Wealth Pilot
, empowers asset managers, family offices, and private banks with cutting-edge AI and automation to streamline data processing, client reporting, and investment analysis.

We are a fast-growing Hong Kong–based AI startup on a mission to transform the financial industry. By combining
agentic AI workflows
, automation, and intuitive design, we help enterprises eliminate manual work, unlock insights, and deliver seamless client experiences.

Joining Turoid means working on frontier problems in
AI, financial technology, and enterprise SaaS
, while shaping the future of wealth management.

Role Description

We are seeking a
Full-Stack Engineer
to join our Wealth Pilot product team. This is a full-time on-site role located in Central & Western District, Hong Kong.

You will be responsible for:

• Designing, developing, and maintaining
  frontend )
  and
  backend , Python/Flask)
  systems.
• Building responsive, user-friendly interfaces for dashboards, client portals, and reporting tools.
• Implementing and scaling backend services with
  PostgreSQL, MongoDB, and API integrations
  .
• Collaborating with the AI team to design and integrate
  AI-powered agents and workflows
  into production systems.
• Exploring and applying
  frontier AI techniques
  (LLMs, agentic orchestration, knowledge graphs) to enhance product functionality.
• Ensuring best practices in
  testing, performance, and security
  .
• Working closely with founders and product leads to deliver fast iterations in a
  startup environment
  .

Qualifications

• Proficiency in
  JavaScript/TypeScript
  and frameworks like
  
  .
• Experience with
  backend frameworks
  , Express, Flask, or Django).
• Solid understanding of
  databases
  (PostgreSQL, MongoDB) and
  API design
  .
• Exposure to
  AI technologies
  (LLMs, NLP, LangChain, agentic workflows, or ML pipelines) is a strong plus.
• Familiarity with
  cloud infrastructure
  (AWS, Docker, CI/CD) preferred.
• Excellent problem-solving and product-thinking mindset.
• Ability to work collaboratively in a small, agile team.
• Bachelor's degree in Computer Science, Engineering, or a related field; startup experience is a plus.
• Previous experience in
  fintech or enterprise SaaS
  is preferred.

What We Offer

• Opportunity to work on
  frontier AI applications
  in fintech.
• A fast-paced
  startup culture
  with high ownership and impact.
• Competitive compensation with
  equity/ESOP participation
  .
• Career growth in a scaling AI company with global ambitions.
• A collaborative team that values innovation, creativity, and learning.

My client, a global cryptocurrency exchange, is seeking a
Senior AI Engineer
to join their team in designing, developing, maintaining, and enhancing cutting-edge software for various projects adjacent to their core business. With the growing significance of AI, this Senior AI Engineer will contribute to innovative and exciting projects involving large-scale applications.

This a hybrid role, a blend of in-office and working from home.

Responsibilities:

• Develop data pipelines to process and analyze large datasets and prepare training datasets.
• Build predictive models and machine-learning algorithms to discover trends and patterns.
• Develop and implement generative AI models to address real-world challenges across various domains, including natural language processing, image, video, and voice generation.
• Conduct research on emerging generative AI techniques and algorithms.
• Collaborate with cross-functional teams to design and deploy AI solutions.

Requirements:

• Masters or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Proven experience in ML modeling techniques, including supervised/unsupervised learning and deep learning frameworks.
• Expertise in generative AI and natural language processing (NLP).
• Experience with prompt engineering, prompt optimization, and multimodal generative AI.
• Strong programming skills in Python and Unix/PowerShell scripting.
• Familiarity with cloud computing platforms and AI technologies, including AWS, GCP, or Azure.
• Experience in using large language models (LLMs) such as Hugging Face ML models, GPT, Claude, etc.
• A passion for staying updated with the latest advancements in AI technologies.

What We Offer:

• Competitive salary and benefits package.
• A collaborative and innovative work environment.
• Opportunities for professional growth and development.