Algorithm Development: Development and optimisation of machine learning and deep learning algorithms to solve complex business problems.
Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy.
Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work.
Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects and realize the intelligent upgrading of products.
Research and Innovations: Stay up-to-date with the latest advancement in AI and ML technologies. Explore and deploy n...