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We deliver technology to some of the best startups and companies in the world through diverse empowered teams of technologists that want to create change in the digital world.
Athenaworks was created to be a safe place for all people from all areas of life. A place where teams are gender-balanced and compensated equally. And a place where careers are unrestrained regardless of cultural, educational, or geographical background.
We value people with strong technical skills that are collaborative, curious, results-driven, and take ownership. We embrace people that want to be themselves, have daily flexibility, grow, learn, and make a difference wherever the opportunity presents itself.
So We Hope This Sounds Like You. Because We Are Always Looking For Exceptional Senior Applied Machine Learning Engineer To Work In Immersive Client Projects That Will Challenge Your Abilities. This Position Requires
Role Overview
We are seeking a senior-level engineer to design and deliver intelligent automation capabilities for large-scale document review workflows governed by strict privacy and compliance requirements. This role focuses on applying machine learning, computer vision, and natural language techniques to understand, classify, and transform complex document sets within an established data and processing pipeline. This role includes large-scale text analytics and document intelligence across millions of scanned pages. You will design systems to identify structural and semantic similarities, group related documents, detect recurring content patterns, and surface trends across similar document collections. The work requires building scalable clustering, embedding, and pattern-discovery pipelines that transform unstructured and semi-structured page-level data into actionable insights.
You will work hands-on with high-volume, heterogeneous document collections to improve accuracy, consistency, and throughput of privacy-driven review processes. The work emphasizes practical ou
Postúlate en Kit Empleo: kitempleo.cl/empleo/1cq30m