We are seeking an experienced Large Language Model (LLM) Architect to join our team. The ideal candidate will be responsible for designing, developing, and optimizing large-scale language models to enhance our AI capabilities. This role involves working closely with data scientists, engineers, and product managers to deliver state-of-the-art AI solutions

Job Scopes:

• Design and optimize large language models, devise fine-tuning strategies, and streamline the training process.
• Explore deep learning architectures like Seq2Seq, Transformer, and advanced techniques including Fine-tuning, Prompt Engineering, and Soft Prompting (SFT).
• Develop systems for efficient model training and deployment, involving data preprocessing, parallel training, and resource management.
• Establish performance evaluation systems and monitor training metrics to ensure model quality and iteration efficiency.
• Lead and collaborate with cross-functional teams to apply large model technology in practical business scenarios.

Job Requirements:

• Degree or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields.
• Strong in deep learning theory and mainstream frameworks like PyTorch and TensorFlow.
• Proven experience in developing and deploying large language models, with a deep understanding of natural language processing (NLP) techniques.