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……
Minimum 1 year’s research experience in natural language processing, natural language understanding, deep learning, and/or machine learning with proven track……
Develop retrieval, ranking, and recommendation systems to improve content quality and relevance. The team is transforming traditionally static experiences into……
Flat hierarchy with trust, ownership, and continuous learning. We bring together the world’s most hands-on engineers to build faster than anyone else.…
Skilled in systems engineering and industrial process design. Flat hierarchy with trust, ownership, and continuous learning. What We’re Looking For*.…
Maintain accurate documentation of systems, procedures, and configurations. Familiarity with monitoring tools, ticketing systems, and ITIL processes.…
Work with software engineers to integrate AI into web/mobile applications using Python. Azure AI Stack specialists / LangChain specialists / Agentic AI……
Leveraging 46+ trillion data points and advanced machine learning models, Pattern optimizes and automates key levers of ecommerce growth—including advertising,……
Interacting with clients, managers, peer engineers, laboratory personnel, and non-technical staff. In this role, you will be expected to be a highly qualified……
Our mission is to redefine home blood pressure monitoring through the integration of *acoustic data, pressure data, and AI systems*, delivering a new generation……
The technology developed spans from pipeline hydraulics to machine learning and optimization. Our team aims to develop a “Distributed data acquisition and……
Work with software engineers to integrate AI into web/mobile applications using Python. Azure AI Stack specialists / LangChain specialists / Agentic AI……
Develop, test, deploy & maintain our external & internal system. Develop, implement and test the mobile applications. Report preparation with data analysis.…
Create the orders with the datacenters, track status, then pass the data into our configuration management system and ensure the machines are setup in a timely……
Strong engineering ability to translate research into scalable, production-level systems. Participate in LLM training and RAG system, staying current with……
Development, productization and refinement of machine learning models. Distillation of high-grade datasets that enable data science and machine learning.…
Coursework or basic knowledge in machine learning or NLP. Assist in building AI tools such as coding assistants, automation scripts, and knowledge Q&A systems.…
Develop, test, and productionize predictive signals across asset classes using a combination of statistical methods, machine learning, and AI agent–driven……
You will be following the leads of our Senior Data Science Engineer to conduct machine learning to improve the accuracy of our computer vision system.…
Solid programming foundation, proficient in Python, familiar with at least one mainstream machine learning framework, and grasp basic machine learning algorithm……
You run experiments, implement ideas from recent research, synthesize papers into hypotheses, and work with engineers to understand how research translates to……
Label every reviewed case as TP / TN / FP / FN with structured root-cause annotations — this data directly feeds ROCA's continuous learning pipeline.…
Familiarity with machine learning techniques and data analysis. Design and implement efficient blockchain address clustering algorithms, supporting multi-chain……
Integrate machine learning models and risk scoring engines into backend systems. Understanding of distributed systems, and Spring microservices, dubbo.…
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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