About the job

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We are Lenovo. We do what we say. We own what we do. We WOW our customers.

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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).

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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.

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About The Role

Our Global Supply Chain (GSC) team is looking for anAI 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.

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Key Responsibilities

• Responsible for training, fine-tuning, and optimizing large-scale language and multimodal models (e.g., vision-language, video-text models) with Python and Java.
• Build robust training pipelines including data processing, distributed training, checkpointing, and deployment.
• 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.
  
  

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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
  
  

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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.

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