Oracle Health Applications & Infrastructure (OHAI) is seeking a Machine Learning Engineer to join their Health Foundations Organization. This role focuses on using machine learning and intelligent automation to improve the performance and reliability of Oracle Health's cloud platforms. You'll be part of a high-impact team building systems that detect anomalies, predict incidents, and enable proactive intervention at scale.
As a Machine Learning Engineer, you'll contribute to the design and delivery of production-grade ML models and services that enhance system observability, incident prediction, and product resilience. The role involves working with cutting-edge technologies including artificial intelligence, machine learning, and large language models to create people-centric healthcare experiences.
Oracle is leveraging its extensive resources and expertise to make a meaningful impact in healthcare. The company focuses on tackling major challenges like physician burnout, patient access to data, and barriers to quality care. You'll work in a collaborative environment with experts across industries, using advanced technologies to develop patient- and provider-centric solutions.
This position offers a strong growth path toward deeper technical ownership and leadership, working with cross-functional teams including software engineers, site reliability engineers, and product teams. The role requires expertise in Python, ML frameworks, and cloud-native environments, with a focus on developing and deploying ML-based solutions that drive real-world impact in healthcare technology.