174 Machine Learning Algorithms jobs in Hong Kong

Job description

Job Description:

As a Machine Learning Engineer at TeamNote, you will be instrumental in developing and optimizing a private GPT application designed for deployment within a corporate environment. You will work closely with a talented team to build and enhance the machine learning components of the application, ensuring high performance, accuracy, and scalability.

Responsibilities:

• Develop and train machine learning models, particularly focusing on natural language processing (NLP) for the private GPT application.
• Collaborate with software engineers to integrate machine learning models, Retrieval-Augmented Generation (RAG) pipelines and LLM agents into the application infrastructure.
• Optimize and fine-tune the GPT model and inferencing backend for specific corporate use cases and requirements.
• Conduct experiments, analyze data, and iterate on model performance to enhance overall application capabilities.
• Implement best practices for model deployment, monitoring, and maintenance within a corporate setting.
• Stay updated on the latest advancements in machine learning and Large Language Model (LLM) to drive innovation within the project.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's degree or PhD preferred).
• Proven experience in machine learning, deep learning, and NLP, with a strong portfolio of projects demonstrating expertise in these areas.
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, MLX or similar tools.
• Solid programming skills in languages like Python, with experience in data manipulation, analysis, and visualization.
• Strong understanding of statistical modelling and algorithms used in machine learning.
• Familiarity with Retrieval-Augmented Generation (RAG) and LLM agent frameworks is considered a strong advantage.
• Experience in Large Language Model (LLM) inferencing backend such as vLLM, SGLang, or MLX is highly desirable.
• Excellent problem-solving abilities, analytical skills, and attention to detail.
• Effective communication skills and the ability to collaborate with cross-functional teams.

Additional Information:

• This is a full-time position based in Hong Kong.
• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI technologies and contribute to the development of innovative solutions within a corporate environment.

If you are passionate about machine learning, eager to work on AI-driven applications, and thrive in a collaborative team setting, we would love to hear from you.

工作類型: 全職

薪酬: $15,000.00至$25,000.00(每月)

福利:

• 在家工作
• 有薪病假
• 彈性上班時間
• 醫療保險

Work Location: 親身到場

The Role:

• R&D in machine learning for speech and language technologies
• Assist in designing and implementing machine learning models for speech recognition, natural language processing (NLP), and voice applications
• Support data preprocessing, feature engineering, and model training on multi-lingual datasets
• Document work and stay updated on advances in speech and language technologies

Experience Needed:

• Bachelor's degree in Computer Science, Electrical Engineering, or related field.
• Perferably 1-2 years of working experience as Machine Learning Engineer, Fresh graduates will also be considered
• Strong math/statistics foundation and problem-solving skills
• Good communication and teamwork abilities

The Role

• R&D in machine learning for speech and language technologies
• Assist in designing and implementing machine learning models for speech recognition, natural language processing (NLP), and voice applications
• Support data preprocessing, feature engineering, and model training on multi-lingual datasets
• Document work and stay updated on advances in speech and language technologies

Experience Needed

• Bachelor's degree in Computer Science, Electrical Engineering, or related field.
• Perferably 1-2 years of working experience as Machine Learning Engineer, Fresh graduates will also be considered
• Strong math/statistics foundation and problem-solving skills
• Good communication and teamwork abilities

Job Responsibilities

• 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

Job Requirements

• 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

Lyodssoft Limited is seeking self-motivated team member to build AI capabilities for financial institutions across AML transaction monitoring, KYC, and anti-fraud, improving compliance efficiency and risk controls. You can obtain the great opportunity to develop careers in AI and Big Data for different business applications.

Responsibilities:

• Responsible for technical research and development of a distributed AI platform.
• Translate business problems into measurable AI tasks and deliver the end-to-end lifecycle: data → features → training → evaluation → deployment → monitoring.
• Establish baselines and KPIs for key use cases (e.g., Precision/Recall/F1, MAE/MAE, latency, QPS, alert reduction, manual review time).
• Responsible for communicating to AI Team Leader and Technical Director for overall R&D project management.

Qualifications:

• Master's degree in computer science, Mathematics or a related discipline with 3-5 years relevant experience for Senior position
• Master's degree or equivalent in Computer Science, Mathematics or a related discipline or bachelor's degree with at least one-year relevant experience for Trainee position.
• Familiar with AI expertise, including Machine Learning, Deep Learning, Natural Language Processing, Large Language Models, etc.
• Proficient in Python and common libraries (Numpy, Pandas, etc.); familiar with PyTorch/TensorFlow and scikit-learn; at least one database (MySQL, MSSQL, Oracle); at least one web framework (FastAPI/Flask).
• Bonus: LangChain/Dify, vector DBs (FAISS/Milvus/Pinecone); Docker/K8s experience
• Good analytical and independent/team problem-solving skills
• Have good communication and collaboration skills: fluent in at least two of Cantonese, English and Mandarin.
• IANG/overseas applicants welcome

What we offer:

• Frontline FinTech/RegTech projects in partnership with compliance teams at financial institutions across multiple regions.
• High ownership in a small team with a clear career path and a dedicated learning and development budget.
• Competitive salary commensurate with your skills and experience.

Lyodssoft Limited is seeking self-motivated team member to build AI capabilities for financial institutions across AML transaction monitoring, KYC, and anti-fraud, improving compliance efficiency and risk controls. You can obtain the great opportunity to develop careers in AI and Big Data for different business applications.

Responsibilities:

• Responsible for technical research and development of a distributed AI platform.
• Translate business problems into measurable AI tasks and deliver the end-to-end lifecycle: data → features → training → evaluation → deployment → monitoring.
• Establish baselines and KPIs for key use cases (e.g., Precision/Recall/F1, MAE/MAE, latency, QPS, alert reduction, manual review time).
• Responsible for communicating to AI Team Leader and Technical Director for overall R&D project management.

Qualifications:

• Master's degree in Computer Science, Mathematics or a related discipline with 3-5 years relevant experience for Senior position.
• Master's degree in Computer Science, Mathematics or a related discipline or bachelor's degree with at least one-year relevant experience for Junior position.
• Familiar with AI expertise, including Machine Learning, Deep Learning, Natural Language Processing, Large Language Models, etc.
• Proficient in Python and common libraries (Numpy, Pandas, etc.); familiar with PyTorch/TensorFlow and scikit-learn; at least one database (MySQL, MSSQL, Oracle); at least one web framework (FastAPI/Flask).
• Bonus: LangChain/Dify experience; Docker/K8s experience; regulatory compliance knowledge such AML and Fraud.
• Good analytical and independent/team problem-solving skills
• Good communication and collaboration skills: fluent in at least two of Cantonese, English and Mandarin.
• IANG/overseas applicants welcome

What we offer:

• Frontline FinTech/RegTech projects in partnership with compliance teams at financial institutions across multiple regions.
• High ownership in a small team with a clear career path and a dedicated learning and development budget.
• Competitive salary commensurate with your skills and experience.

R&D in machine learning for speech and language technologies. Assist in designing and implementing machine learning models for speech recognition, natural language processing (NLP), and voice applications. Support data preprocessing, feature engineering, and model training on multi-lingual datasets. Location: Kwun Tong, Hong Kong SAR.

• R&D in machine learning for speech and language technologies
• Assist in designing and implementing machine learning models for speech recognition, NLP, and voice applications
• Support data preprocessing, feature engineering, and model training on multi-lingual datasets
• Document work and stay updated on advances in speech and language technologies

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field
• Preferably 1–2 years of working experience as a Machine Learning Engineer; fresh graduates will also be considered
• Strong math/statistics foundation and problem-solving skills
• Good communication and teamwork abilities

• Entry level

• Full-time

• Engineering and Information Technology

• Staffing and Recruiting

Referrals increase your chances of interviewing at Peoplebank. Get notified about new Machine Learning Engineer jobs in Kwun Tong, Hong Kong SAR.

• Design, develop, and deploy machine learning models and AI systems.
• Collaborate with cross-functional teams to integrate AI into products and services.
• Analyze large datasets to extract meaningful insights and drive decision-making.
• Stay current with emerging AI technologies and trends.
• Optimize performance and scalability of AI solutions.

• Bachelor's or Diploma in Computer Science, AI, Machine Learning, or a related field.
• Proven experience in AI development (e.g., natural language processing, computer vision, generative AI).
• Strong understanding of data structures, algorithms, and model deployment practices.
• Excellent problem-solving and communication skills.

AI機器學習工程師

你將負責:

1. 模型開發與優化: 負責從0到1的機器學習/深度學習模型的研發工作,包括但不限於自然語言處理(NLP)、電腦視覺(CV)、推薦系統、風控模型等,並對現有模型進行持續調優和迭代。

2. 數據管道構建: 與數據工程師協作,參與構建高效、可靠的數據預處理和特徵工程管道,確保模型訓練和數據供給的品質與效率。

3. 模型部署與運維(MLOps): 將訓練好的模型進行封裝、部署到生產環境(On-premise或Cloud),並建立持續的監控、預警和自動化更新(A/B測試、影子模式等)流程,保障線上服務的穩定性和效果。

4. 系統架構設計: 參與設計和開發高可用、低延遲、可擴展的機器學習系統架構,以滿足海量用戶請求和高併發場景下的性能要求。

5. 技術方案攻關: 深入研究業界前沿的AI技術(如大語言模型LLM、Agent、AIGC等),評估其應用潛力,並主導技術難點攻關與落地實踐。

6. 跨團隊協作: 與產品、業務團隊深入溝通,準確理解業務需求並將其轉化為可行的技術方案;與軟體工程團隊協作,完成模型的服務化集成。

我們希望你具備:

· 工作經驗3年以上。電腦科學、資訊技術、數據科學、軟體工程等專業本科或以上學歷。

· 扎實的數據處理和分析能力,熟悉 SQL 和至少一門腳本語言(如 Python)。

· 熟悉數據倉庫、資料庫等相關技術。

· 良好的溝通能力,能夠與業務、技術團隊高效協作。

· 邏輯思維強,具備獨立分析和解決問題的能力。

我們提供:

· 競爭力的薪酬和福利待遇。

· 充滿挑戰和發展空間的工作環境。