* AI Infrastructure & Deployment : Build scalable AI pipelines leveraging Azure ML, Kubernetes, and distributed computing.
Implement vector search using databases like Milvus to optimize AI outputs with Lenovo’s internal knowledge base.
Performance Optimization : Monitor and improve model performance for accuracy, speed, and cost efficiency.
Cross-Team Collaboration : Work closely with AI Strategists, engineers, and designers to ensure usability and alignment with business goals.
Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or a related field.
Experience : 5+ years in AI / ML engineering with a track record of building and deploying AI models.
Strong proficiency in PyTorch, TensorFlow, Hugging Face Transformers, and OpenAI APIs.
Familiarity with tools like Azure ML, Kubernetes, LangChain, and Milvus.
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