Responsibilities:

• 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