MACHINE LEARNING ENGINEER – HK–BASED

Job Responsibilities

- Conduct data analysis, feature engineering, and feature extraction for data within the financial industry

- Develop and implement cutting-edge machine learning algorithms focused on graph learning and time series analysis for applications such as transaction monitoring, anti-money laundering, and cryptocurrency analysis

- Maintain and optimize data pipelines, enhancing existing solutions through pre- and post-processing improvements, fine-tuning, performance evaluation, visualization, and testing

- Collaborate with cross-functional teams to identify and address customer needs and aspirations

- Proactively resolve ambiguity and tackle technical issues, driving innovation and efficiency in processes

Job Requirements

- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Statistics, or related fields

- Proficiency in at least one machine learning development framework, such as PyTorch, Keras, or TensorFlow, with hands-on experience in environment control

- Experience with programming, monitoring, visualization and project collaboration tools, including Python, VSCode, Conda, Git, and MySQL

- Knowledge of statistical machine learning and deep learning, particularly the models for graph and/or time series data, such as knowledge graph, spatial-temporal graph, and multivariate time series

- Interest in areas such as anomaly detection, federated learning, transfer learning, self-supervised learning, or uncertainty quantification

- Knowledge in LLM is a plus

- A passion for coding, programming, innovation, and problem-solving

- A keen interest in anti-money laundering practices and regulatory compliance

Proficient in written and spoken Chinese (Cantonese or Mandarin); fluency in English is a plus