What Jobs are available for Conversational AI in Hong Kong?

Bluemont is working on the following priority roles.

• AI Conversational Banking Platform Lead (6M Contract) to HKD90K pm - The role is for a product professional with deep experience in Conversational AI and GenAI, ideally in banking or fintech. The focus is on driving the full product lifecycle for AI bots, owning the product backlog, and ensuring a fantastic customer experience while increasing automation and efficiency.
• AI Mobile Conversational Banking Platform Lead (6M Contract) to HKD90K pm - We're seeking an AI Mobile Conversational Banking Platform Lead to enhance customer experience through conversational AI. The role involves managing the product lifecycle, driving automation with Generative AI, and leading cross-functional teams. You'll use market research and data to deliver scalable solutions and drive value for the business.

Project Title: AI Customer Service Q&A Engine

Position Title: AI Research Assistant / System Developer

Job Duties:

• Assist in developing an AI customer service Q&A engine and automated knowledge base system;
• Integrate AI development platforms, Lark, and LLM-based intelligent systems;
• Participate in algorithm optimization and model training;
• Prepare technical reports and research documentation to support internal and government project deliverables.

Requirements:

• Bachelor's degree or above in Information Technology, Artificial Intelligence, Data Science, or Computer Science;
• Familiar with Python / Java / NLP / LLM model development is an advantage;
• Strong written and verbal communication skills in English and Chinese;
• Self-motivated with good research mindset and teamwork spirit.

Work Location:

• Lai Chi Kok, Hong Kong (Hybrid work available)

工作類型: 全職

薪酬: $25,000.00至$38,000.00(每月)

福利:

• 在職專業培訓
• 有薪年假
• 有薪病假
• 產假

教育程度:

• 學士 (必要條件)

語言:

• 廣東話 (優先考慮)
• 普通話 (優先考慮)

Work Location: 親身到場

工作內容:

• 技術戰略與團隊領導:協助高級總監制定公司人工智能技術的戰略規劃、技術選型及團隊建設,指導AI技術在数智通信、智慧产业(如工业、金融、城市管理)應用中的發展方向與落地實施。
• 算法研究與優化:帶領團隊開展人工智能算法研究與開發,專注於深度學習、計算機視覺等領域,編寫高品質的科研技術方案、報告及學術論文。
• 行業趨勢引領:密切關注AI領域最新技術動態與行業趨勢,提供前瞻性技術建議,確保公司在数智通信、产业应用領域保持領先。帶領團隊把握市場主流AI技術,推動科研項目發展。
• 跨部門協作與業務整合:與跨部門團隊合作,將AI技術融入公司產品線與解決方案,提升市場競爭力。參與項目规划设计与管理,包括需求分析、架構設計、效果验证等。結合資訊通信技術(如算力、網絡通訊、資訊安全)實現業務與AI的科研融合。
• 流程優化與人才培養:建立並優化AI開發流程、標準與規範,指導與培養團隊成員,提升技術能力與團隊梯隊建設。
• 學術與行業合作:具備優秀溝通能力,與高校教授、行業專家共同構建科研方向與項目,推動產學研合作。
• 合規性保障:嚴格遵守國家法律法規及公司規章制度,確保工作合法合規。

工作要求:

• 計算機科學、人工智能、數學等相關專業,碩士及以上學歷。
• 10年以上人工智能領域工作經驗,具備主導AI科研項目及科研論文/項目基金申報的經驗。
• 專業知識:精通深度學習、計算機視覺、大語言模型等AI核心技術,熟悉CNN、LSTM、Transformer等主流深度學習網絡,具備模型開發、訓練與部署能力。
• 熟練掌握Python、C++等程式語言,熟悉TensorRT、OpenVINO、RAG、MCP、SFT等技術框架。
• 具備AI項目全流程管理經驗,能獨立完成需求分析、架構設計與應用落地。擁有前瞻性思維與創新意識,擅長技術探索與突破。
• 具備與學術界、研究機構及行業合作夥伴建立合作關係的經驗,良好的溝通能力,能與高校教授及行業專家協作。
• 優秀的中文及英文書寫及口語交流能力。
• 經驗較多者可申請AI技術總監。

Key Responsibilities

• Review, draft, and redline standard commercial contracts (e.g., NDAs, MSAs, POs, lease agreements, vendor contracts).
• Support internal approval workflows for contract execution and ensure documentation compliance.
• Coordinate with external legal counsel on complex or high-value matters when required.
• Maintain a central database of legal templates and executed agreements.
• Conduct basic legal research, summarizing key risks or obligations in plain language for business teams.
• Support the Executives and Operations team in other administrative and compliance-related tasks.

Qualifications & Experience

• Bachelor's degree in Law or related discipline.
• 1–3 years of experience at an international or top-tier law firm (corporate, commercial, or M&A team preferred).
• Familiarity with U.S. and international contract law is highly desirable.
• Strong understanding of contract structure, negotiation logic, and risk allocation.
• Excellent command of English; proficiency in Mandarin or Cantonese is a plus.
• Ability to work under pressure and deliver high-quality work quickly — fast turnaround and long hours when required.
• Meticulous attention to detail and strong organizational skills.

Contact

Brook ZHANG

M&Wechat

Job Responsibilities

• Collaborate with AI engineers to develop AI products within the AML context
• Research, manage, and refine AI products, working closely with AI engineers
• Support the AI team and product development team in proactively managing product development plans, schedules, dependencies, communications, and budgets
• Monitor and report on AI product development progress, issues, and risks.
• Support the marketing team with pre-sales events

Job Requirements

• Enthusiasm for AI product development, particularly in the context of AML
• Solid theoretical foundation in Machine Learning and LLM technologies.
• Proficiency in Cantonese, English, and Mandarin, with exceptional communication skills
• Proficiency in programming (e.g., Python, JavaScript, MySQL) to demonstrate project ideas and designs (i.e., participate in development of Minimum Viable Product).
• Experience with the latest LLM technologies (e.g., agentic systems, prompt engineering, LLM deployment, LLM fine-tuning, and RAG) is advantageous
• Knowledge of Time Series, Graph Neural Networks (GNN), Graph Theory, Federated Learning (FL), and Optimization Theory is advantageous
• Openness to learning new AI technologies and algorithms

Position Description:

We are seeking highly motivated Research Assistants, Postdoctoral Fellows, or Scientists to join our interdisciplinary team working on AI for Science research with a focus on sustainable energy technologies and materials innovation. The candidate will work on cutting-edge projects integrating artificial intelligence, physics-based modeling, and high-throughput experimentation to accelerate discovery, evaluation, and deployment of next-generation energy solutions.

Key Responsibilities:

• Develop and implement AI/ML models for materials design and optimization.
• Integrate data-driven models with physics-informed simulations for multi-scale analysis.
• Build and maintain high-quality datasets, including experimental and industrial data.
• Collaborate with researchers, industry partners, and policymakers to translate AI insights into practical applications.
• Contribute to software platforms and publish in leading journals.

Requirements:

• Master/PhD in Engineering, Computer Science, Data Science, Physics, Chemistry, or a related field.
• Strong background in machine learning, deep learning, or AI for scientific applications.
• Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow).
• Experience with materials modeling or experimental workflows is highly desirable.
• Demonstrated ability to work in interdisciplinary teams and produce high-impact research.

Preferred Skills:

• Familiarity with sustainable energy systems (batteries, solar, hydrogen).
• Experience in combining AI with physics-based or multi-scale simulations.
• Knowledge of ESG, carbon accounting, or energy policy frameworks.

We Offer:

• Opportunity to work on high-impact research bridging AI and sustainable energy science.
• Collaborative environment with leading academics and industry partners.
• Competitive salary and benefits.

科学智能(AI4Sci):科研助理 / 博士后 / 科研人员

职位描述:

我们诚邀积极优秀的 科研助理、博士后或科研人员 加入跨学科团队,从事 科学智能研究,重点聚焦于可持续能源技术与材料创新。该岗位将参与前沿项目,结合 人工智能、基于物理的建模及高通量实验平台,加速下一代能源解决方案的发现、评估与应用。

岗位职责:

• 开发并实现用于材料设计与优化的 AI/ML 模型。
• 将数据驱动模型与基于物理的多尺度模拟相结合。
• 建立并维护高质量的实验与工业数据集。
• 与科研人员、产业合作伙伴及政策制定者协作,将 AI 研究成果转化为实际应用。
• 参与软件平台开发并在高水平期刊发表研究成果。

任职要求:

• 工程、计算机科学、数据科学、物理、化学或相关领域硕士/博士学位。
• 扎实的 机器学习、深度学习或 AI 科学应用 背景。
• 熟练掌握 Python 及 ML 框架(如 PyTorch、TensorFlow)。
• 有材料建模或实验流程经验者优先。
• 具备跨学科团队合作与高水平科研成果产出的能力。

优先条件:

• 熟悉可持续能源系统(电池、光伏、氢能)。
• 有 AI 与基于物理/多尺度模拟结合的经验。
• 了解 ESG、碳核算或能源政策框架者优先。

Transform Language Models into Real-World Applications
We're building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world.

This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You'll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions.

Why This Role Matters
You'll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.

What You'll Do

• Fine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma)
• Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.
• Evaluate models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.
• Deploy & monitor – Scale models into production with performance optimization and monitoring for drift.
• Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.

What Is It Like

• Likes ownership and independence
• Believe clarity comes from action - prototype, test, and iterate without waiting for perfect plans.
• Stay calm and effective in startup chaos - shifting priorities and building from zero doesn't faze you.
• Bias for speed - you believe it's better to deliver something valuable now than a perfect version much later.
• See feedback and failure as part of growth - you're here to level up.
• Possess humility, hunger, and hustle, and lift others up as you go.

Requirements

• Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).
• Proficiency with PyTorch (preferred) or TensorFlow.
• Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.
• Familiar with evaluation metrics: perplexity, toxicity, relevance.
• Strong software engineering foundations in algorithms, data structures, and clean code practices.

Nice to Have

• Prior work in text generation, moderation, or personalization.
• Experience with RLHF or reinforcement learning in LLMs.
• Contributions to open-source ML projects.

What You'll Get

• Flat structure & real ownership
• Full involvement in direction and consensus decision making
• Flexibility in work arrangement
• High-impact role with visibility across product, data, and engineering
• Top-of-market compensation and performance-based bonuses
• Global exposure to product development
• Lots of perks - housing rental subsidies, a quality company cafeteria, and overtime meals
• Health, dental & vision insurance
• Global travel insurance (for you & your dependents)
• Unlimited, flexible time off

Our Team & Culture
We're a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you're hungry to grow and care deeply about excellence, join us.

About Bjak
BJAK is Southeast Asia's #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems.

If you're excited to build real-world AI systems and grow fast in a high-impact environment, we'd love to hear from you.

Systematic Quant Researcher (Mid-Frequency, Equities, ML/NLP) – Hong Kong or Singapore

A leading global multi-strategy hedge fund ($12B AUM) is looking to add a talented Systematic Quant Researcher to its growing mid-frequency equities team in Hong Kong or Singapore.

This is an opportunity to join a world-class platform and work on cutting-edge ML, NLP, and LLM-driven research, collaborating with senior PMs and data scientists to design and deploy alpha-generating strategies.

Key Responsibilities:

• Research and develop systematic mid-frequency equity strategies using advanced ML techniques
• Apply
  Natural Language Processing (NLP)
  and
  Large Language Models (LLMs)
  for signal generation and feature extraction
• Build, test, and deploy predictive models and alpha signals across global markets
• Collaborate with engineers to bring research to production
• Analyze market microstructure and alternative data sources to identify new opportunities

Requirements:

• 5+ years' experience in
  systematic equities research
  (buy-side or sell-side)
• Proven background in
  machine learning, NLP, or LLM-based modeling
• Strong programming skills in
  Python (C++ a plus)
• Solid understanding of alpha research, portfolio construction, and backtesting
• Master's or PhD in a quantitative discipline (Computer Science, Applied Math, Statistics, or similar)
• Experience in
  mid-frequency
  or
  ML-driven systematic
  strategies

Locations:
Hong Kong or Singapore

Compensation:
Highly competitive, performance-based

If you're passionate about applying ML and NLP to real-world trading and want to join a high-impact global fund, we'd love to hear from you.

Job Title:
Machine Learning Scientist

Salary:
Negotiable (max USD 5,000 monthly)

Work Location:
Full-time Remote (GMT+7)

Open to Taiwan/Hong Kong/China-based candidates.

If you hold a PhD in Bioinformatics, Computational Biology, or Computer Science and want to apply your AI research to real-world medicine innovation, we welcome your application.

Job Overview

We are seeking a
Machine Learning Scientist
to join a global R&D team developing an
AI-driven platform for medicine research and healthcare manufacturing
—with a special focus on cancer therapeutics and production optimization. The role involves designing, training, and scaling state-of-the-art ML models that power next-generation healthcare innovation.

This is a
long-term product
, not a short-term project, to build a strong scientific AI team dedicated to advancing medicine discovery through cutting-edge research and production technologies.

Responsibilities

• Design and maintain end-to-end data pipelines to ingest, clean, augment, and version large-scale molecular and phenotypic datasets.
• Automate high-throughput molecular simulations and extract docking features for downstream modeling.
• Research, prototype, and productionize
  graph neural networks
  and
  transformer-based models
  for molecular property prediction, lead optimization, and virtual screening.
• Develop and integrate
  semi-supervised
  and
  active learning
  workflows to extract insights from limited experimental labels.
• Establish evaluation frameworks and analyze model performance using metrics such as ROC-AUC and enrichment factors.
• Collaborate with chemists, biologists, and engineers to integrate ML solutions into the discovery platform, ensuring scalability and maintainability.
• Communicate research progress, results, and methodologies across cross-functional teams and in external presentations.

Requirements

Must-Have:

• PhD (required) in
  Bioinformatics, Computational Biology, Computer Science, or related fields
  .
• Minimum
  5 years of AI/ML research or engineering experience
  .
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Hands-on experience with graph libraries (DGL, PyG) and transformer frameworks (HuggingFace).
• Familiarity with cheminformatics (RDKit) and molecular docking tools (AutoDock Vina, Glide).
• Experience in distributed training on multi-GPU or cloud platforms (AWS/GCP).
• Strong English reading comprehension for research papers; speaking level sufficient for team communication.
• Ability to travel to Singapore once per year for research collaboration.

Nice-to-Have:

• Research or work experience at
  BioTuring, Gene Solutions
  , or similar biotech/AI firms.
• PhD obtained abroad (US, Singapore, Australia, or Europe).
• Experience with omics data (RNA-seq, WGS, single-cell) and genomics libraries (Bioconductor, scikit-allel).
• Contributions to open-source ML tools or publications in relevant AI/biotech fields.
• Mentoring or leadership experience in research teams.

Company Overview

We are a biotechnology-focused technology organisation backed by global investors and partners from Singapore. The company applies
Artificial Intelligence to the development and production of new medicines
, particularly cancer-related therapeutics.

The mission is to build a new long-term, world-class
AI R&D team
to design intelligent systems that optimise pharmaceutical research and manufacturing. This is not a short-term project but a strategic product under continuous development, representing a major focus of the company's future roadmap.

Working Time

• Monday to Friday, 9:00 AM – 5:00 PM (lunch break: 12:00 – 1:00 PM).
• Full-time remote within the GMT+7 time zone.

Benefits

• Competitive and negotiable salary.
• Work fully remote with a flexible, research-oriented culture.
• Collaborate directly with scientists and AI experts across Singapore and Vietnam.
• Exposure to international pharmaceutical research and innovation.
• Opportunity to contribute to an AI product with long-term global healthcare impact.

Hiring Process

3 rounds: Initial Interview → Technical Interview → Final Interview.

Join us in building next-generation AI systems that will transform global healthcare.