The candidate will develop and maintain secure, scalable backend applications and databases while building integrations with healthcare partners. They will also manage ETL processes, ensure data quality, and deploy applications on AWS.
The Senior Machine Learning Engineer will lead technical initiatives, mentor team members, and design end-to-end predictive models for biological data. They are responsible for the full machine learning lifecycle, from research and prototyping to production deployment and monitoring.
Design, build, and deploy end-to-end predictive models while managing the full machine learning lifecycle. Collaborate with domain experts to translate research literature into production-grade systems that handle complex biological data.
