Tai Wo Management Limited Hiring! Full Time AI - Machine Learning Engineer in Kowloon, Hong Kong, Earn up to HKD 38,000 - Ricebowl

Responsibilities:

• Design and develop Smart Mobility & Smart City IoT related software with integrated AI/ML capabilities
• Develop, train, fine-tune, and optimize machine learning and deep learning models for real-world IoT
• Design, implement, and benchmark AI algorithms tailored to Smart Mobility
• Build and maintain end-to-end ML pipelines
• Document and maintain the functionality of the software and AI model system(s)
• Troubleshoot, debug, and upgrade existing software and AI/ML system(s), including model retraining and performance tuning
• Ensure that the software and AI system(s) are updated with the latest features, frameworks, and state-of-the-art techniques
• Perform proof-of-concept (POC) for the latest technologies, AI models, or research ideas
• Collaborate with cross-functional teams (data, hardware, product) on impactful city-scale commercial projects

Requirements:

• Studying in Computer Science / Computer Engineering / Artificial Intelligence / Data Science or relevant discipline(s) / Bachelor's or higher degree in Computer Science / Computer Engineering / AI / Data Science or relevant discipline(s)
• Experience in JavaScript, e.g. NodeJS (Back-end)
• Hands-on experience in Python and common AI/ML libraries and frameworks such as PyTorch, TensorFlow, Keras, scikit-learn, Hugging Face, OpenCV, or similar
• Solid understanding of machine learning and deep learning fundamentals (supervised/unsupervised learning, neural networks, CNNs, RNNs/Transformers, model evaluation metrics)
• Experience with data processing tools (e.g., NumPy, Pandas) and ability to work with large-scale, real-world datasets
• Familiarity with AI deployment would be a bonus
• Comfortable working in an agile environment
• Good team player
• Fluent in English, with good written and oral communication skills

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