7 Job Postings
2025-03-13 - 2026-03-13
The common responsibilities for this position include implementing large language model engineering with a focus on inference optimization and model deployment, researching and applying large language model technologies such as AI-Agent, RAG, and LangChain, designing and optimizing model architecture to enhance performance based on business needs, constructing NLP technology platforms and tools to improve team R&D efficiency, and applying the latest research findings to large model systems. Additionally, conducting algorithm research and development in machine learning and deep learning, focusing on areas like recommendation systems, search ranking, natural language processing, computer vision, and risk control models is essential. Engaging in data mining and feature engineering by analyzing large datasets and creating a stable feature system for model input, establishing an online effect monitoring system to track model performance, performing attribution analysis, and swiftly addressing issues are also key responsibilities. Furthermore, exploring cutting-edge algorithms and technologies, overseeing model training, evaluation, deployment, and testing with large-scale data while continuously iterating and optimizing model performance to enhance algorithm metrics are part of the role.
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