This is a guest post co-written by Juan Francisco Fernandez, ML Engineer in Adevinta Spain, and AWS AI/ML Specialist Solutions Architects Antonio Rodriguez and João Moura.
InfoJobs, a subsidiary company of the Adevinta group, provides the perfect match between candidates looking for their next job position and employers looking for the best hire for the openings they need to fill. For this goal, we use natural language processing (NLP) models such as BERT through PyTorch to automatically extract relevant information from users’ CVs at the moment they upload these to our portal.
Performing inference with NLP models can take several seconds when hosted on typical CPU-based instances given the complexity and variety of the fields. This affects the user experience in the job listing web portal. Alternatively, hosting these models on GPU-based instances can prove costly, which makes the solution not feasible for our business. For this solution, we were

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