109 Machine Learning Engineer 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

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

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

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 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.

• 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 Associate

• Employment type Full-time

• 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 .

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

• 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 Associate

• Employment type Full-time

• 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 .

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

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 Mid-Senior level

• Employment type Full-time

• 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

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

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 Mid-Senior level

• Employment type Full-time

• 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

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