Data Engineer

【What you need to participate in】

• Research on the core algorithms of deep learning (including various neural network structures and applications), including model training and optimization.
• Implement and deploy various AI algorithms, and carry out the training, tuning, and deployment of algorithm models such as object detection, semantic segmentation, and instance segmentation for images and point clouds.
• Be familiar with the principles and algorithms of deep learning and common machine learning algorithms. Be able to skillfully use models such as clustering, classification, regression, and ranking to solve challenging problems, and have practical experience in big data processing.
• Investigate leading AI technology solutions in the industry, including but not limited to CV/NLP/3DGS/MLOps, etc., engage in related work in the above - mentioned fields, and continuously improve algorithm performance.

【What we require of you】

• Have a relevant major in computer science, artificial intelligence, etc. (preference for bachelor's degree or above).
• Have an in - depth understanding of machine learning and deep learning, and be familiar with common deep - learning models and optimization methods.
• Master Pytorch proficiently, and have excellent coding styles and habits.
• Have experience in engineering implementation, and preference for those with Docker/Kubernetes deployment experience.
• Have strong learning ability and keep up with industry trends.
• Have strong problem - analysis and abstraction abilities, and preference for those with good engineering experience.
• Master data structures and algorithms proficiently.
• Be able to use spoken English as a working language.