Working understanding of machine learning and deep learning fundamentals (supervised/unsupervised learning, neural networks, CNNs, RNNs/Transformers, model……
Proficient in PyTorch with strong coding skills in Python or C++. Strong communication skills, intellectual curiosity, and passion for lifelong learning.…
Knowledge or relevant hands-on experience in consumer or industrial electronics products, such as experience with mechanical, electrical, or thermal tests (……
We are particularly interested in individuals who develop new and creative approaches based on operations research, artificial intelligence, machine/deep……
Experience with machine learning techniques a plus. The Quantitative Strategies and Data Group (QSDG) is seeking for a Hong Kong based role covering the Prime……
Solid programming foundation, proficient in Python, familiar with at least one mainstream machine learning framework, and grasp basic machine learning algorithm……
A PhD degree or equivalent in Civil Engineering/Geotechnical Engineering/Geology/Data Science/Artificial Intelligence/Electrical Engineering/Computer Science or……
Current university students and recent graduates. Currently pursuing a Master's or PhD in Machine Learning, Computer Science, Mathematics, or related field……
A PhD in Computer Science or related disciplines. The Department of Computer Science has internationally known research groups in a number of areas, including……
Successful candidates will have the opportunity to work with interdisciplinary research teams across a wide spectrum of data science and AI-related fields.…
Machine learning/first-principles calculations/large-scale simulations. A PhD in Physics or closely related areas, evidence of the ability to build and lead an……
Familiarity with machine learning techniques and data analysis. Authored or co-authored research in areas such as graph learning, entity resolution, or crypto-……
Candidates with a PhD degree or equivalent may be considered for appointment as Postdoctoral Fellow. Candidates with a Bachelor’s degree or equivalent……
Work hand-in-hand with our compliance, legal and risk management teams to ensure our technical solutions address regulatory requirements and evolving risk……
At least 2 years of hands-on experience in AI engineering and/or applied machine learning. Build and consume RESTful APIs using frameworks such as FastAPI or……
A high degree of comfort and fluency with computers and technology and an understanding of how technology is applied to business and regulatory problems or an……
Experience with machine learning / deep learning. Familiarity with PyTorch or TensorFlow. Interest in applied research and publications. What you’ll be doing:…
A high degree of comfort and fluency with computers and technology and an understanding of how technology is applied to business and regulatory problems or an……
3+ years experience building production-grade machine learning systems, data infrastructure, or research platforms. Contributions to open-source ML projects.…
MS or PhD in a STEM discipline, preferably in applied mathematics/statistics. Machine learning experience is a plus. Proficiency in Python is a must.…
Bachelors, master's or PhD level in a discipline such as computer science, machine learning, applied statistics, mathematics, engineering or artificial……
A high degree of comfort and fluency with computers and technology and an understanding of how technology is applied to business and regulatory problems or an……
Classes will be held on weekdays day-time and /or Saturdays. The School, operating on a self-financed basis, offers a wide range of full-time and part-time……
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
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