58 Machine Learning Algorithms jobs in Hong Kong

Join to apply for the Machine Learning Engineer role at Wizpresso 濃說

1 year ago Be among the first 25 applicants

Join to apply for the Machine Learning Engineer role at Wizpresso 濃說

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About Wizpresso

(learn more at is a Hong Kong-based technology company that transforms enterprise workflow and empowers financial markets stakeholders. We develop software underpinned by natural language processing (NLP) and deep learning to augment market intelligence, regulatory reporting, and knowledge management. We deliver value to users by removing communication barriers between participants, improving business growth, managing risks, and enhancing operational efficiency.

Our clients include global financial institutions, professional services firms, and enterprises. Wizpresso has earned numerous accolades, such as the HKMA/HKT Innovation Awards 2024 (Gold), APICTA 2023 AI of The Year Awards, Maker in China 2022 Champion, CUHK Corporate Innovation Index 2022, HKICT Grand Fintech Award 2021, EPIC 2021 Fintech Champion, and multiple IFTA Fintech Awards. If youre passionate about pioneering financial and regulatory technology and eager to build transformative SaaS products for professionals, Wizpresso is the place for you. Join our fast-growing, dynamic team and thrive in a culture celebrating data wizards and automation mavens!

• We are obsessed with our customers.
• Building a powerful yet simple and elegant product is engrained in our culture.
• We value execution and outcomes over appearance and office politics.
• We believe everyone has great ideas and unique strengths.
  
  

• Collaborate with data scientists and software engineers to deploy machine learning models into production environments.
• Develop and maintain scalable infrastructure for training, testing, and deploying machine learning models.
• Implement and manage continuous integration and continuous deployment (CI/CD) pipelines for machine learning projects.
• Monitor and optimize machine learning systems to ensure performance, scalability, and reliability.
• Troubleshoot and resolve issues related to model performance, data quality, and system stability.
• Collaborate with DevOps teams to ensure smooth integration of machine learning systems with existing infrastructure.
• Develop and maintain documentation related to machine learning infrastructure, processes, and best practices.
• Stay up-to-date with the latest advancements in machine learning operations and identify opportunities for improvement within the organization.
  
  

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Solid understanding of machine learning concepts and techniques.
• Proficiency in programming languages such as Python and/or R.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Knowledge of version control systems, such as Git.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration abilities.
• Ability to work effectively in a fast-paced and dynamic environment.
• Attention to detail and a commitment to delivering high-quality results.
  
  

• Experience with deploying machine learning models in production environments.
• Knowledge of big data processing frameworks (e.g., Apache Spark, Hadoop).
• Familiarity with data pipeline orchestration tools (e.g., Airflow, Luigi).
• Understanding of software development methodologies (e.g., Agile, Scrum).
• Experience with infrastructure-as-code tools (e.g., Terraform, Ansible).

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet

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Wan Chai District, Hong Kong SAR 6 days ago

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Direct message the job poster from Fano (Fano Labs)

About Us:

We are a fast-growing AI startup focused on transforming industries through cutting-edge speech technologies. Our mission is to bring powerful AI solutions to production, with a strong emphasis on ASR and LLM-based systems. We’re looking for a skilled and motivated Machine Learning Engineer to join our AI Systems team. In this role, you’ll work closely with our ASR, LLM and MLOps teams to build scalable production-ready ML infrastructure and workflows.

If you’re passionate about innovation, thrive in cross-functional environments, and are eager to build advanced ML systems that make an impact, we want to hear from you.

Responsibilities:

• Design, build, and maintain robust data and ML pipelines
• Collaborate with Research Scientists to train and evaluate advanced ASR models and / or LLM workflows for production
• Design and run systematic experiments to improve the performance, efficiency, and scalability of AI workflows
• Develop and support evaluation frameworks for LLM use cases, including RAG and agentic workflows
• Benchmark models and conduct performance diagnostics across ML systems

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field-or equivalent experience
• Proficient in Python; strong experience with UNIX-based systems and version control
• Hands-on experience with PyTorch and modern ML frameworks
• Experience training, testing, evaluating and optimizing deep learning models
• Solid understanding of data structures, algorithms and software engineering best practices
• Strong problem-solving and communication skills with an ability to collaborate across teams

Preferred Qualifications:

• Experience across the MLOps lifecycle: data ingestion, ETL, training, evaluation, deployment
• Familiarity with LLM-based systems, RAG pipelines, agentic workflows, or tools such as LangGraph
• Experience handling audio data or training ASR models
• Knowledge of tools such as Ray, Apache Iceberg, Spark, ZenML
• Experience with Docker, CI/CD workflows, Kubernetes and visualization platforms

We offer:

• Competitive compensation packages based on experience
• Hybrid remote work flexibility
• Medical insurance
• A collaborative, fast-paced, and mission-driven environment

• Seniority level Entry level

• Employment type Full-time

• Job function Research and Engineering
• Industries Technology, Information and Internet

Referrals increase your chances of interviewing at Fano (Fano Labs) by 2x

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Join to apply for the Machine Learning Engineer role at FCC ANALYTICS

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Join to apply for the Machine Learning Engineer role at FCC ANALYTICS

• Conduct data analysis, feature engineering, and feature extraction for data within the financial industry
• Develop and implement cutting-edge machine learning algorithms focused on graph learning and time series analysis for applications such as transaction monitoring, anti-money laundering, and cryptocurrency analysis
• Maintain and optimize data pipelines, enhancing existing solutions through pre- and post-processing improvements, fine-tuning, performance evaluation, visualization, and testing
• Collaborate with cross-functional teams to identify and address customer needs and aspirations
• Proactively resolve ambiguity and tackle technical issues, driving innovation and efficiency in processes
  

• Conduct data analysis, feature engineering, and feature extraction for data within the financial industry
• Develop and implement cutting-edge machine learning algorithms focused on graph learning and time series analysis for applications such as transaction monitoring, anti-money laundering, and cryptocurrency analysis
• Maintain and optimize data pipelines, enhancing existing solutions through pre- and post-processing improvements, fine-tuning, performance evaluation, visualization, and testing
• Collaborate with cross-functional teams to identify and address customer needs and aspirations
• Proactively resolve ambiguity and tackle technical issues, driving innovation and efficiency in processes
  

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Statistics, or related fields
• Proficiency in at least one machine learning development framework, such as PyTorch, Keras, or TensorFlow, with hands-on experience in environment control
• Experience with programming, monitoring, visualization and project collaboration tools, including Python, VSCode, Conda, Git, and MySQL
• Knowledge of statistical machine learning and deep learning, particularly the models for graph and/or time series data, such as knowledge graph, spatial-temporal graph, and multivariate time series
• Interest in areas such as anomaly detection, federated learning, transfer learning, self-supervised learning, or uncertainty quantification
• Knowledge in LLM is a plus
• A passion for coding, programming, innovation, and problem-solving
• A keen interest in anti-money laundering practices and regulatory compliance
• Proficient in written and spoken Chinese (Cantonese or Mandarin); fluency in English is a plus

• Seniority level Entry level

• Employment type Full-time

• Job function Science
• Industries Technology, Information and Media

Referrals increase your chances of interviewing at FCC ANALYTICS by 2x

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Continue with Google Continue with Google

New Territories, Hong Kong SAR 21 hours ago

Kwun Tong District, Hong Kong SAR 6 months ago

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Join to apply for the Machine Learning Engineer role at Wizpresso 濃說

1 year ago Be among the first 25 applicants

Join to apply for the Machine Learning Engineer role at Wizpresso 濃說

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

About Wizpresso
(learn more at is a Hong Kong-based technology company that transforms enterprise workflow and empowers financial markets stakeholders. We develop software underpinned by natural language processing (NLP) and deep learning to augment market intelligence, regulatory reporting, and knowledge management. We deliver value to users by removing communication barriers between participants, improving business growth, managing risks, and enhancing operational efficiency.
Our clients include global financial institutions, professional services firms, and enterprises. Wizpresso has earned numerous accolades, such as the HKMA/HKT Innovation Awards 2024 (Gold), APICTA 2023 AI of The Year Awards, Maker in China 2022 Champion, CUHK Corporate Innovation Index 2022, HKICT Grand Fintech Award 2021, EPIC 2021 Fintech Champion, and multiple IFTA Fintech Awards. If youre passionate about pioneering financial and regulatory technology and eager to build transformative SaaS products for professionals, Wizpresso is the place for you. Join our fast-growing, dynamic team and thrive in a culture celebrating data wizards and automation mavens!

• We are obsessed with our customers.
• Building a powerful yet simple and elegant product is engrained in our culture.
• We value execution and outcomes over appearance and office politics.
• We believe everyone has great ideas and unique strengths.
  

• Collaborate with data scientists and software engineers to deploy machine learning models into production environments.
• Develop and maintain scalable infrastructure for training, testing, and deploying machine learning models.
• Implement and manage continuous integration and continuous deployment (CI/CD) pipelines for machine learning projects.
• Monitor and optimize machine learning systems to ensure performance, scalability, and reliability.
• Troubleshoot and resolve issues related to model performance, data quality, and system stability.
• Collaborate with DevOps teams to ensure smooth integration of machine learning systems with existing infrastructure.
• Develop and maintain documentation related to machine learning infrastructure, processes, and best practices.
• Stay up-to-date with the latest advancements in machine learning operations and identify opportunities for improvement within the organization.
  

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Solid understanding of machine learning concepts and techniques.
• Proficiency in programming languages such as Python and/or R.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Knowledge of version control systems, such as Git.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration abilities.
• Ability to work effectively in a fast-paced and dynamic environment.
• Attention to detail and a commitment to delivering high-quality results.
  

• Experience with deploying machine learning models in production environments.
• Knowledge of big data processing frameworks (e.g., Apache Spark, Hadoop).
• Familiarity with data pipeline orchestration tools (e.g., Airflow, Luigi).
• Understanding of software development methodologies (e.g., Agile, Scrum).
• Experience with infrastructure-as-code tools (e.g., Terraform, Ansible).

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet

Referrals increase your chances of interviewing at Wizpresso 濃說 by 2x

Wan Chai District, Hong Kong SAR 6 days ago

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

Direct message the job poster from Fano (Fano Labs)

About Us:

We are a fast-growing AI startup focused on transforming industries through cutting-edge speech technologies. Our mission is to bring powerful AI solutions to production, with a strong emphasis on ASR and LLM-based systems. We’re looking for a skilled and motivated Machine Learning Engineer to join our AI Systems team. In this role, you’ll work closely with our ASR, LLM and MLOps teams to build scalable production-ready ML infrastructure and workflows.

If you’re passionate about innovation, thrive in cross-functional environments, and are eager to build advanced ML systems that make an impact, we want to hear from you.

Responsibilities:

• Design, build, and maintain robust data and ML pipelines
• Collaborate with Research Scientists to train and evaluate advanced ASR models and / or LLM workflows for production
• Design and run systematic experiments to improve the performance, efficiency, and scalability of AI workflows
• Develop and support evaluation frameworks for LLM use cases, including RAG and agentic workflows
• Benchmark models and conduct performance diagnostics across ML systems

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field-or equivalent experience
• Proficient in Python; strong experience with UNIX-based systems and version control
• Hands-on experience with PyTorch and modern ML frameworks
• Experience training, testing, evaluating and optimizing deep learning models
• Solid understanding of data structures, algorithms and software engineering best practices
• Strong problem-solving and communication skills with an ability to collaborate across teams

Preferred Qualifications:

• Experience across the MLOps lifecycle: data ingestion, ETL, training, evaluation, deployment
• Familiarity with LLM-based systems, RAG pipelines, agentic workflows, or tools such as LangGraph
• Experience handling audio data or training ASR models
• Knowledge of tools such as Ray, Apache Iceberg, Spark, ZenML
• Experience with Docker, CI/CD workflows, Kubernetes and visualization platforms

We offer:

• Competitive compensation packages based on experience
• Hybrid remote work flexibility
• Medical insurance
• A collaborative, fast-paced, and mission-driven environment

• Seniority level Entry level

• Employment type Full-time

• Job function Research and Engineering
• Industries Technology, Information and Internet

Referrals increase your chances of interviewing at Fano (Fano Labs) by 2x

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

Join to apply for the Lead Engineer/ Senior Engineer, Machine Learning on Audio/Speech role at ASTRI - Hong Kong Applied Science and Technology Research Institute

The Hong Kong Applied Science and Technology Research Institute (ASTRI) was founded by the Government of the Hong Kong Special Administrative Region in 2000 with the mission of enhancing Hong Kong’s competitiveness through applied research. ASTRI’s core R&D competence is grouped under five Technology Divisions: Communications Technologies, Artificial Intelligence and Trust Technologies, Advanced Electronic Components and Systems, IoT Sensing and AI Technologies, and Innovative Mind.

It is applied across six core areas: Smart City, Financial Technologies, New Industrialisation and Intelligent Manufacturing, Digital Health, Application Specific Integrated Circuits, and Metaverse.

Over the years, ASTRI has nurtured a pool of research, I&T talents and received numerous international awards for its pioneering innovations as well as outstanding business and community contributions. To date, ASTRI has transferred almost 1500 technologies to industries and been granted more than 1100 patents in Mainland China, the US, and other countries.

Job Responsibilities

- Support R&D projects.
- Conduct research on speech signal processing and intelligent human-machine interaction.
- Design and optimize machine learning frameworks for end-to-end speech recognition.
- Optimize cloud services or offline inference of transformer-based AI models.
- Deploy AI services on Linux with Docker.
- Troubleshoot and resolve issues with end-to-end model training.

Job Requirements

- Bachelor's degree or higher in Computer Science, Software Engineering, or related fields.
- 3+ years experience in speech signal processing, end-to-end AI models, and machine learning frameworks such as WeNet, Kaldi, K2-fsa, Transformer, OpenAI/Whisper, etc. Candidates with less experience may also be considered.
- Knowledge of Python, Java, C/C++, C# is a plus.
- Good command of English and Chinese; Cantonese preferred.
- Strong problem-solving and critical thinking skills.
- Ability to work independently and in teams.
- Alignment with ASTRI values.

The position offers a renewable contract with a competitive salary, performance-linked variable pay, and benefits including paid leave, medical insurance, and MPF contribution. Normal workweek is five days.

Interested applicants should submit their detailed CV within two weeks. Only shortlisted candidates will be notified. ASTRI reserves the right not to fill the position.

This is an equal opportunity employer. Personal data will be used solely for recruitment purposes. Refer to ASTRI Privacy Policy for details.

Join to apply for the Lead Engineer/ Senior Engineer, Machine Learning on Audio/Speech role at ASTRI - Hong Kong Applied Science and Technology Research Institute

The Hong Kong Applied Science and Technology Research Institute (ASTRI) was founded by the Government of the Hong Kong Special Administrative Region in 2000 with the mission of enhancing Hong Kong’s competitiveness through applied research. ASTRI’s core R&D competence is grouped under five Technology Divisions: Communications Technologies, Artificial Intelligence and Trust Technologies, Advanced Electronic Components and Systems, IoT Sensing and AI Technologies, and Innovative Mind.
It is applied across six core areas: Smart City, Financial Technologies, New Industrialisation and Intelligent Manufacturing, Digital Health, Application Specific Integrated Circuits, and Metaverse.
Over the years, ASTRI has nurtured a pool of research, I&T talents and received numerous international awards for its pioneering innovations as well as outstanding business and community contributions. To date, ASTRI has transferred almost 1500 technologies to industries and been granted more than 1100 patents in Mainland China, the US, and other countries.
Job Responsibilities
- Support R&D projects.
- Conduct research on speech signal processing and intelligent human-machine interaction.
- Design and optimize machine learning frameworks for end-to-end speech recognition.
- Optimize cloud services or offline inference of transformer-based AI models.
- Deploy AI services on Linux with Docker.
- Troubleshoot and resolve issues with end-to-end model training.
Job Requirements
- Bachelor's degree or higher in Computer Science, Software Engineering, or related fields.
- 3+ years experience in speech signal processing, end-to-end AI models, and machine learning frameworks such as WeNet, Kaldi, K2-fsa, Transformer, OpenAI/Whisper, etc. Candidates with less experience may also be considered.
- Knowledge of Python, Java, C/C++, C# is a plus.
- Good command of English and Chinese; Cantonese preferred.
- Strong problem-solving and critical thinking skills.
- Ability to work independently and in teams.
- Alignment with ASTRI values.
The position offers a renewable contract with a competitive salary, performance-linked variable pay, and benefits including paid leave, medical insurance, and MPF contribution. Normal workweek is five days.
Interested applicants should submit their detailed CV within two weeks. Only shortlisted candidates will be notified. ASTRI reserves the right not to fill the position.
This is an equal opportunity employer. Personal data will be used solely for recruitment purposes. Refer to ASTRI Privacy Policy for details.

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

At HKT, we believe the power of data relying in the hands of those who know how to transform them into tangible business values. We’re seeking an experienced Data Scientist to work together with our business units to identify hidden opportunities and to create incremental business values. More experienced candidates will also be considered as Senior Data Scientist.

Our ideal team member will have the mathematical, statistical and computer science expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. We will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data scientists and data engineers, and “slice and dice” data using your own methods, creating new visions for the future.

This role will support our digital healthtech and insurtech platform, and you will help to reshape and revolutionise the way people access and build sustainable health, wellness and protection.

Position overview

You are reporting to the Lead Data Scientist. You support the end to end project with your team member data scientist: from understanding the business requirements to the delivery.

Working on complex data science/analysis projects, you will also work on new PoC and R&D projects to anticipate the business needs. It will be your responsibility to support guiding of the stakeholders on the right data transformation approach, creating the models and using the tools you have. You also collaborate with product design and engineering to develop an understanding of needs, and enable smarter business processes—and implement analytics for meaningful insights

Key responsibilities

• Lead data scientist team members in the development of new insights, advanced modeling techniques, and data science capabilities. Execute analytical experiments methodically to help solve various problems and make a true impact across business units and external partners.
• Establish actionable KPIs and success metrics and ensures that there is timely and accurate reporting. You will leverages data science tools and techniques in analyzing large data-sets that will enable the development of custom models and algorithms to uncover insights, trends, and patterns in the data, Devise and utilize algorithms and models to mine big data sets, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
• Work closely with the IT team for the purpose of facilitating easy and effective access to computing and data resources within the business. Support Lead Data Scientist to identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets. Partner with other non-technical departments within the business assisting them in understanding how data science can benefit them and improve their effectiveness and performance. Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems

Skills and Qualifications

• A master’s degree or PhD in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field. An equivalent of the same in working experience is also acceptable for the position.
• 3+ years of working experience in a data science capacity. No preference for the background sector but a first experience in Healthtech/Insurtech/Retail/FMCG/Property/Telecom is a plus. You will also have a demonstrated and successful experience leading a data science team through the implementation of new data science models, tools, and techniques that lead to improvement if business performance due to a continued culture of informed decision-making. Strong technical understanding of Martech, personalization and marketing automation is preferred.
• Extensive experience solving analytical issues through quantitative approaches and machine learning methods as well as vast experience using advanced statistical methods, data mining techniques, and information retrieval. A suitable candidate will show comfort analyzing and manipulating large, complex, high-dimensional data from numerous sources. Proficiency with data mining, mathematics, and statistical analysis. Advanced pattern recognition and predictive modeling experience
• Excellent communication skills in order to be able to tailor and convey technical messages in a clear and understandable manner, leading to business-wide improvement of data management, informed decision making, and ultimate improvement in performance.
• First experience of Deep Learning projects: NLP/computer vision, neural network. Coding abilities at least one of the following languages: Python and R
• Experience working with distributed computing tools such as Hadoop as well as experience working in a cloud environment such as AWS, Azure or GCP.

About HKT

HKT (SEHK: 6823) is Hong Kong's premier telecommunications service provider and a leading innovator. Its fixed-line, broadband, mobile communication and media entertainment services offer a unique quadruple-play experience. HKT meets the needs of the Hong Kong public and local and international businesses with a wide range of services including local telephony, local data and broadband, international telecommunications, mobile, media entertainment, enterprise solutions and other telecommunications businesses such as customer premises equipment sales, outsourcing, consulting and contact centers.

All personal data provided by candidates will be used for recruitment purposes only by HKT Services Limited in accordance with HKT's Privacy Statement, which is available on our website. Unless otherwise instructed in writing, candidates may be considered for other suitable positions within the Group (being, HKT Limited, PCCW Limited and their respective subsidiaries, affiliates and associated companies). Personal data of unsuccessful candidates will normally be destroyed 24 months after rejection of the candidate's application. If you have any questions regarding your personal data held by HKT Services Limited HKT’s Privacy Statement, please feel free to contact our Privacy Compliance Officer by writing to or GPO Box 9896, Hong Kong.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Consulting
• Industries Telecommunications, Technology, Information and Media, and Financial Services

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

Wan Chai District, Hong Kong SAR 1 week ago

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Join to apply for the Data Scientist role at Holdex

Join to apply for the Data Scientist role at Holdex

We are looking for experienced data scientists to help us on our mission. If you want to be a part of a meaningful decentralization movement, if you enjoy solving complex problems, and if you translate your solutions into beautiful Python ML models, this offer is for you.
As a Data Scientist, you will
You will be utilizing your expertise in Python, R, SQL, and machine learning libraries to prepare datasets for the community, develop sample and production-ready forecasting models, and create guiding articles to onboard new data scientists.
Additionally, you will be responsible for setting up and managing machine learning competitions and sharing your knowledge with your colleagues. As one of the early contributors, you will play a vital role in shaping the future of Synnax and helping to establish its community from the ground up.
Our company culture highly values self-direction and leadership , and we encourage all of our engineers to contribute towards achieving our common goals. To excel in this role, you must have a thorough understanding of our products and be able to work collaboratively with other team members.
Apply for Data Scientist
We’re not looking for a typical CV or formal cover letter. Share real stories about your experiences, interests, projects, and achievements.
Apply
Hard Requirements

• Advanced proficiency with Python. Professional experience with Python, R, SQL, and various machine learning libraries (i.e.: TensorFlow, Scikit-learn, PyTorch)
• Proven expertise in ML/AI cycle (data preparation, model training, testing, optimization) with a track record of successful projects
• Able to work asynchronously and self-directed. Be able to clearly express and document your ideas, problems, and solutions. Define and plan your work to help us achieve our common goals.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

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