该职位来源于猎聘 岗位职责: 1、 Translate workflows into opportunities, where Al/ automation solutions can boost efficiency, clarity, or creativity. 2、Collect, preprocess, and analyze large datasets from terminal operations to identify patterns and provide insights and recommendations. 3、 Lead the data wrangling, design, development, and deployment of AI/ automation solutions tailored for payment related applications (e.g., automated reporting, anomaly detection, forecasting) 4、Evaluate, select, and implement appropriate AI/ML models and tools that fit highly-regulated reporting and Finance process automation. 5、Integrate AI tools with existing payment / operation systems, ensuring data accuracy and security. 6、Optimize and maintain AI models, ensuring they align with regulatory and audit requirements. 7、Create safe, low-stakes environments for testing new ideas, encouraging a culture of experimentation, not perfection. 任职要求: 1、University degree in Computer Science, Computer Engineering, Mathematics, Statistic, Information technology or equivalent. 2、 3+ years' hands-on experience in AI/ML engineering, data engineering or system analysis within Finance or large enterprise environments, ideally within fast-paced or global companies. 3、 Deep knowledge of modern Al tools (e.g. ChatGPT, Qwen, Claude, Notion Al, GitHub Copilot, etc.) and enthusiasm for staying ahead of the curve. 4、 Deep knowledge with models (e.g. LLM (Large Language Model), LSTM (Long Short-Term Memory), ARIMA (Autoregressive Integrated Moving Average), XGBoost, Random Forest, RL (Reinforcement Learning),etc) 5、 Knowledge of big data tools (e.g. Hadoop, Spark, Databricks) and cloud platforms (e.g. AWS, Azure, Google Cloud) 6、Excellent analytical skills with a data-driven approach to problem-solving. 7、Ability to work well independently and across teams. 8、 Good command of spoken and written English and Cantonese and Putonghua.