Document and maintain the functionality of software and AI model systems, including operational handover materials. Comfortable working in an agile environment.…
Experience in Python-based ML frameworks or AI deployment pipelines. The project develops an AI-assisted virtual reality English speaking training system for……
This is a full-time role based in Hong Kong (Hybrid). Working knowledge of LLMs and agentic systems (RAG/vector search, prompt design, evaluation, safety);……
Design, deploy, and maintain infrastructure to support AI and Large Language Model (LLM) workloads, including GPU-based computing environments and model-serving……
Adapts departmental plans and priorities to address resource and operational challenges. Background in enterprise architecture, solution design, or digital……
Building AI-driven solutions such as automated workflows, AI agents, and LLM-based applications. Implementing AI pipelines and integrations using tools such as……
Continuously improve model reliability, relevance, and UX by tuning prompt flows. Deploy GenAI models on AWS/GCP/Azure using services like SageMaker, Bedrock,……
Collaborate with data engineers to align BI models with backend data structures. Optimize semantic data models to improve report performance and responsiveness.…
Use a customer-centric approach to lead architectural design decisions. Available to overlap with India-based team working hours (IST timezone alignment……
Knowledge on code design pattern prepared, e.g. object-oriented design, MVC model. On job-training will be provided. Web Apps integration (e.g. YouTube TV).…
Contribute to the design and execution of experiments in reasoning model training, post-training alignment, test-time scaling, or systematic model evaluation —……
You will be working with our Senior Data Scientist / Computer Vision Engineer to assist in model training and optimization pipeline for real-time analysis of……
Identify service competency gaps based on customer insights, lessons learned, and operational experience and develop capability‑building initiatives.…
Machine learning, statistics & generative AI (from model design to deployment). Hands-on experience ingesting and processing data, building models, and……
This role is 100% Remote, Work from Home based. Establish and enforce secure-by-design deployment workflows to ensure infrastructure integrity and software……
Deep understanding of transformer architectures, large language model pretraining dynamics, and post-training methodology — including the shift from RLHF toward……
Knowledge of MLOps concepts: model registry, experiment tracking, reproducible training, automated retraining, and monitoring. Is this role right for you?…
Roles are based in Hong Kong & full relocation package provided. Awareness of evaluation techniques for model quality and benchmarking, including tools like……
Implement and maintain MLOps pipelines for model training, testing, deployment, monitoring, and versioning. Develop and integrate AI services using Python and……
Change Management and Adoption: Ensure successful adoption of AI/ML solutions by managing organizational change, assisting with user training, and conducting……
Experience in Python-based ML frameworks or AI deployment pipelines. The project develops an AI-assisted virtual reality English speaking training system for……
Performance incentives: Annual bonus based on individual performance. Develop and maintain an expansive library of automatons and alpha models.…
Familiarity with high-performance computing (HPC) and distributed large-scale model training is a plus. Work extensively with quantitative researchers to……
Provide reports, analysis, research and design documents on relevant projects as directed. Our Land Supply / Municipal team is a dedicated and experienced team……
Ensure illustration calculations correctly reflect approved product designs, assumptions, and rules as defined in actuarial Excel models and business……
Strong understanding of machine learning fundamentals, including supervised and unsupervised learning, model evaluation, feature engineering and model……
AI/LLM engineer: Experience integrating large language models for applications such as customer support chatbots, document processing, or decision assistance.…
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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