AI Modeling Specialist

We are Lenovo. We do what we say. We own what we do. We WOW our customers. 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. About The Role Our Global Supply Chain (GSC) team is looking for an AI Modeling Specialist to leverage AI models for our Supply Chain systems and products. This role with focus on delivering PoCs and AI models to implement new LLM and vision-language models. This position will be hybrid 3 days per week at our Morrisville, NC location. Key Responsibilities Be responsible for the design, development and optimization of LLM Agent architecture, including the realization of core modules such as planning, memory, tool calling, reflection, and multi-agent collaboration. Design and implement the ability of Agents to call external tools (APIs, databases, code execution, search, RAG, etc.) to improve their problem-solving capabilities for complex tasks. Contribute to building enterprise-level AI platforms and explore real-world applications such as product recommendation, semantic search, or multimodal understanding. Track and apply cutting-edge research in LLMs and multimodal learning to improve model performance. Collaborate closely with Algorithm, Product, and Data teams to accelerate AI transformation across the business. Basic Qualifications 2+ years of Experience training large datasets with PyTorch and Tensorflow 2+ years of Experience developing Deep Learning models Master’s degree or above in Computer Science, AI, Electrical Engineering, or a related discipline Preferred Qualifications Experience with multimodal tasks (e.g., image-text, vision-audio integration) Experience with Deep Learning Architectures (e.g., Transformer, BERT, ViT, CLIP, BLIP) Experience with model fine-tuning techniques like LoRA, QLoRA, and Prompt Tuning Familiar with distributed training frameworks such as DeepSpeed, FSDP, Megatron-LM Hands-on Experience with high-performance computing platforms (A100/H100 clusters) Familiarity with open-source LMMs such as OpenCLIP, LLaVA, MiniGPT, InternVL Knowledge of model compression, AI safety, and data governance Strong engineering mindset and ability to drive project execution independently. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Show more Show less