Developer AI Solutions

Developer, AI Solutions (HK$40K - $50K) (Ref. No.: 27547)

Our client, a Financial Institution, is looking for high-caliber person to fill the position.

Job Duties
• Data Engineering and Preparation; Conduct data collection, cleaning, and feature engineering; Establish data pipelines and ensure data quality and governance compliance
• Model Development and Validation; Research, prototype, and implement machine learning and deep learning models; Customize off-the-shelf or open-source AI tools (e.g. Azure ML, Hugging Face, Watsonx, Dify) for business needs; Perform rigorous validation, hyperparameter tuning, and bias/error analysis; Integration and Deployment; Collaborate with IT teams to containerize models, build APIs, and integrate AI services into the company’s technology stack, adhering to CI/CD best practices
• Performance Monitoring and Optimization; Implement monitoring frameworks to track model performance, drift, and resource utilization; Continuously refine models to maintain accuracy, efficiency, and compliance with governance policies
• Knowledge Sharing and Support; Create technical documentation, run workshops, and support internal teams in understanding and leveraging AI tools; Contribute to the development of AI standards and playbooks
• Research and Innovation; Stay current with academic research and industry trends; Pilot cutting-edge AI techniques and recommend their adoption where they deliver clear business value
• Perform other duties as assigned by supervisor(s)

Job Requirements
• University degree preferably in Information Technology, Computer Science Fintech, Artificial Intelligence, or related disciplines
• Minimum of 3 years of hands‑on experience in machine learning, data science, or AI engineering roles, preferably within enterprise environments
• Portfolio of deployed models (GitHub, case studies)
• Proficiency in Python or R, machine learning frameworks and libraries (TensorFlow, PyTorch, scikit-learn), SQL, and experience with cloud AI/ML services (AWS, Azure, GCP) and MLOps (Docker, Kubernetes, MLflow)
• Strong problem‑solving skills, statistical knowledge, and familiarity with data governance and ethical AI considerations
• Effective communicator capable of translating technical details into business‑relevant insights
• Good command of written and spoken English and Chinese, with proficiency in Putonghua is an advantage