Working understanding of machine learning and deep learning fundamentals (supervised/unsupervised learning, neural networks, CNNs, RNNs/Transformers, model……
Proficiency in machine learning algorithms and deep learning techniques. Your expertise in machine learning, deep learning, and data analysis will be crucial in……
Familiarity with databases such as MongoDB, deep learning frameworks (e.g., PyTorch, TensorFlow), and especially generative algorithms; fluent in English and……
Work with engineers/developers to realize the proposed algorithms in big data environment. Minimum 1 year’s research experience in natural language processing,……
Knowledge of graph algorithms and clustering techniques. You’ll collaborate with international teams in a fast-moving environment that values ownership,……
Strong communication skills, intellectual curiosity, and passion for lifelong learning. Thrive in a results-driven workplace with opportunities for career……
Development, productization and refinement of machine learning models. Creating and using advanced machine learning algorithms: simulation, clustering, neural……
Solid programming foundation, proficient in Python, familiar with at least one mainstream machine learning framework, and grasp basic machine learning algorithm……
Use your data analytics and data science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms.…
Familiarity with machine learning techniques and data analysis. Design and implement efficient blockchain address clustering algorithms, supporting multi-chain……
Knowledge of machine learning powered personalization methods, design patterns and tools. Data driven customer feedback and satisfaction analysis: leverage of……
USMART Securities (CE no. BJA907) is licensed under The Securities and Futures Ordinance (Chapter 571), and allowed to carry on Type 1, 2, 4, 5, 6 & 9 regulated……
Deep understanding of machine learning model hosting for inference and model optimization. Bachelor’s degree in statistics, machine learning, or related……
As a Research Engineer for the EMOS team, you will collaborate with other researchers and platform engineers to help invent, implement, and connect……
As a Research Engineer for the EMOS team, you will collaborate with other researchers and platform engineers to help invent, implement, and connect……
Familiarity with databases such as MongoDB, deep learning frameworks (e.g., PyTorch, TensorFlow), and especially generative algorithms; fluent in English and……
Strong interest in learning blockchain technology and smart contract operations. Develop a benchmark to evaluate the efficacy of different algorithms……
As a Research Scientist for the EMOS team, you will collaborate with other researchers and platform engineers to help invent, implement, and connect……
Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning.…
Knowledge of machine learning powered personalization methods, design patterns and tools. Using AI to create truly personalized recommendations and address our……
Strong interest in learning blockchain technology and smart contract operations. Develop a benchmark to evaluate the efficacy of different algorithms……
Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning.…
Experience with statistical analysis and machine learning techniques. Collaborate with software engineers to implement and test trading algorithms.…
Knowledge of machine learning and data analysis techniques. Strong understanding of algorithms, data structures, and software design principles.…
Proficient in machine learning/deep learning frameworks, MLOps toolchains, and big data processing technologies; familiar with large model fine-tuning (LoRA,……
Design and develop Smart Mobility & Smart City IoT software with integrated AI/ML capabilities, leveraging both custom models and pre-trained / open-source frameworks
Apply, fine-tune, and optimize machine learning and deep learning models for real-world IoT use cases — including forecasting, anomaly detection, and operational intelligence
Design, implement, integrate, and benchmark AI algorithms tailored to Smart Mobility scenarios, using established libraries and pre-trained models where appropriate
Build, deploy, and maintain end-to-end ML pipelines on Linux-based and cloud environments (AWS, Oracle Cloud, or equivalent), including data ingestion, training, inference, and monitoring stages
Document and maintain the functionality of software and AI model systems, including operational handover materials
Troubleshoot, debug, and upgrade existing software and AI/ML systems, including model retraining, performance tuning, and infrastructure optimization
Keep software and AI systems current with the latest features, frameworks, and techniques — supported by AI-assisted coding and modern developer tooling
Perform proof-of-concept (POC) work on the latest AI models, tools, and research ideas, with rapid prototyping using AI-assisted development
Requirements:
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Business Related with a strong technical track record, or equivalent practical experience
Strong Linux background — essential for ML infrastructure and deployment work
Cloud experience on AWS, Oracle Cloud, or equivalent platforms for hosting and operating AI/ML services
Hands-on experience with Python and common AI/ML libraries and frameworks such as PyTorch, TensorFlow, Keras, scikit-learn, Hugging Face, OpenCV, or similar — including practical use of AI-assisted coding tools to accelerate development and debugging
Working understanding of machine learning and deep learning fundamentals (supervised/unsupervised learning, neural networks, CNNs, RNNs/Transformers, model evaluation metrics) — deep theoretical expertise not required if balanced by strong applied and deployment experience
Familiarity with data processing tools (e.g., NumPy, Pandas) and ability to work with large-scale, real-world datasets — including IoT telemetry, device fleet data, and sensor streams
Strong AI deployment, DevOps, and MLOps capability — including automation, scripting, monitoring, and multi-site failover (highly valued, given the IoT and city-scale nature of the role)
Comfortable working in an agile environment
Fluent in English with good written and oral communication; Cantonese and/or Mandarin a plus for regional collaboration
Job Type: Full-time Work Location: In person
Job Type: Full-time
Pay: $32,000.00 - $38,000.00 per month
Work Location: In person
Base pay range
The minimum salary is HK$32,000 and the max salary is HK$38,000.
HK$32,000 – HK$38,000/mo (Employer provided)
HK$35,000
/mo Median
Kowloon City
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