Engineer, Machine Learning Operations, with minimal guidance, works independently and with cross-functional partners-including biostatisticians, bioinformatics scientists, AI scientists, and software engineers-to deploy, operate, and scale machine learning solutions in production for advanced cancer screening and precision oncology applications. This role serves as a key resource, applying in-depth practical knowledge of ML Operations, software engineering, and cloud infrastructure to solve complex problems across multiple projects, ensuring AI/ML models are production-ready, observable, and aligned with the companys mission to help eradicate cancer.