量化交易模型訓練框架開發

精通Tensorflow或Pytorch

高性能RDMA通信經驗

Experience in AI model deployment & performance tuning

Degree in Computer Science, Data Science or related field

Proficiency in Python & essential libraries like NumPy, Pandas

Lead design of ML training tools for seamless model backtesting to live trading transition

Master's or PhD in Financial Engineering, Computer Science, or related field required

Proficiency in C++, CUDA, and Python for finance/trading applications

Lead design of cutting-edge ML training tools

Master's or PhD in relevant field

Proficiency in C++, CUDA, and Python required

Performance bonus

Project commission

Medical and hospitalization insurance

Strong foundation in machine learning with hands-on experience

Expertise in working with large, complex supply chain datasets

Proficiency in Scikit-learn, TensorFlow, or PyTorch

Experience with PyTorch, Keras, or TensorFlow

Knowledge of statistical machine learning and deep learning

Interest in anomaly detection, federated learning, or uncertainty quantification

Research, implement, and optimize machine learning algorithms for complex scenarios.

Lead full lifecycle of solution building from business understanding to performance monitoring.

Master's degree or above in Computer Science, Statistics, or related fields required.

Apply machine learning techniques in financial markets

Develop and implement ML models for price prediction

Prior experience in quantitative trading highly preferred