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Hybrid Machine Learning Engineer, Data Acquisition

Zus health · Boston, MA, Estados Unidos De América · Hybrid

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Who we are

Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around.

As a Machine Learning Engineer within the Data Acquisition (DA) Team, you will play a critical role in bringing your ML expertise to Zus.  

The Data Acquisition team is responsible for building and running the microservices based infrastructure which connects with external health data networks to collect information about our patients and load it into the Zus data stores at high volume, as well as supporting those services used by customers and internal stakeholders to request that data.   You will be responsible for using your prior experience with large language models (LLMs) and MLOps to develop, deploy, and optimize solutions in collaboration with DA software engineering. You will work closely within this cross-functional team to design, implement, and scale machine learning solutions that address key business challenges. 

In your role as a ML Engineer, you will be responsible for conducting research to explore new methodologies and techniques, and integrating them into our product offerings.   You will develop prototypes to test and improve upon your innovations and develop feedback mechanisms to improve models with human oversight.  You will develop CI/CD pipelines, and automate workflows to ensure reliable and scalable model operations. You will be responsible for presenting your learnings and helping the team leverage these methods and technique