Job Description
Job Responsibilities:
- Design and develop enterprise-level AI application systems to drive the deep integration of artificial intelligence into manufacturing and business scenarios.
- Build systems such as intelligent quality inspection, predictive maintenance, knowledge Q&A, and intelligent production scheduling based on large language models (LLMs), machine learning, and computer vision technologies.
- Oversee AI model deployment, system performance optimization, and stability assurance to ensure system scalability and sustainable operation, with the ability to resolve performance bottlenecks and accuracy degradation issues.
- Build enterprise-level AI capability platforms, such as Agent systems, RAG knowledge bases, data hubs, and capability hubs.
- Perform model compression and performance optimization to meet model performance and quantification requirements.
- Collaborate across teams to ensure the stable implementation of model optimization solutions in products.
- Participate in discussions with clients and product teams to identify new business use cases and value opportunities through POCs and rapid experiments.
- Write technical documentation, experiment reports, and method summaries to support team decision-making and knowledge accumulation.