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AI Modeling Specialist

Job in Morrisville, Wake County, North Carolina, 27560, USA
Listing for: Lenovo
Part Time position
Listed on 2026-05-26
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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 focuses 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 Deep Speed, 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.

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