Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Description and Requirements
Job Responsibilities
Maintaining and improving the existing system to meet complexed and rapidly changed business scenario.
Establish the AI center to utilize AI technology for business functions such as demand forecasting, inventory monitoring, and process automation.
Review business requirement document and develop automation solutions by using Java / SQL and other similar programming languages.
Job Requirement:
Bachelor or above Degree in Computer Science, Computer or Software Engineering, or related field. 5+ years of experiences AI or Java software development. Responsible for designing innovative and highly efficient AI system architectures tailored to complex business scenarios, utilizing AI algorithms to enhance the system's decision-making capabilities and prediction accuracy, thereby meeting diverse business needs. Good communication skills, good language skills in English. Proficient in Python and familiar with PyTorch/TensorFlow frameworks.
Understanding of fundamental data structures and algorithms, with strong coding standards.
Basic Java coding skills are preferred.
Solid understanding of machine learning (e.g., classification/clustering) and deep learning (e.g., RNN/Transformer) theories. Understanding of basic Agent architectures (e.g., task planning, memory management, tool invocation). Familiarity with frameworks such as LangChain and AutoGPT is preferred. Knowledge of RAG (Retrieval-Augmented Generation), MCP/A2A multi-agent collaboration technologies. Familiarity with mainstream large models (e.g., GPT, DeepSeek, LLaMA, ERNIE Bot) and fine-tuning methods. Basic experience in Prompt Engineering, capable of optimizing model outputs through prompt tuning. Understanding of lightweight model deployment (e.g., OLLMA, model quantization).
Additional Locations: * China - Tianjin - 天津（Tianjin） * China * China - Tianjin * China - Tianjin - 天津（Tianjin）