Accelerate recruiter search parameters with localized vector comparison pipelines. Instantly extract technical skills, rank similarity scores, and cluster candidates using PyTorch models running directly on AMD Developer Cloud GPUs.
Transforms parsed candidate text and job descriptions into vector spaces using SentenceTransformers (`BAAI/bge-large-en-v1.5`) for semantic similarity analysis.
Groups applicant vectors into semantic tech cohorts using PyTorch K-Means algorithms running directly on the GPU to locate technical profiles.
Protects private GPU endpoints using a secure Next.js Backend-for-Frontend (BFF) proxy that abstracts internal APIs from the client context.