About The Position
Do you want to be a part of changing healthcare? Oracle is excited to be using our resources, knowledge, and expertise—as well as our successes in other industries—and applying them to healthcare to make a meaningful impact. As people, we all participate in healthcare, it’s deeply personal, and we put the human at the center of each of our decisions. Improving healthcare for all requires bringing unique perspectives and expertise together to holistically tackle the biggest problems in global health including physician burnout, patient access to data, and barriers to quality care. Oracle Health Applications & Infrastructure (OHAI) is developing patient- and provider-centric solutions rapidly and securely. We leverage the power of Oracle Cloud Infrastructure (OCI) to deliver robust, scalable solutions across patient, provider, payer, public health, and life sciences sectors. At OHAI, you’ll work with experts across industries and have access to cutting-edge technologies. We apply artificial intelligence, machine learning, large language models, learning networks, and data intelligence in an applied, scalable, and embedded way. Join us in creating people-centric healthcare experiences. About the Team As part of the Oracle Health Foundations Organization, you’ll join a high-impact Operational Intelligence team focused on building AI-driven systems that transform operational data into proactive, scalable decision platforms. We work across incidents, change records, support tickets, telemetry, and performance signals to improve the reliability, resilience, and stability of Oracle Health’s products. Our team is advancing production-grade anomaly detection systems, real-time signal processing, and GenAI-powered intelligence services that move beyond reactive alerting toward contextual insight generation and semi-autonomous operational workflows. We are building scalable AI infrastructure on the Oracle AI Data Platform that detects performance abnormalities early, surfaces root-cause insights, reduces operational toil, and enables proactive intervention at scale. As a Senior Software Developer – Machine Learning Engineer, you will lead the architecture and implementation of production ML systems and intelligent services. This is a high-ownership, high-visibility role where strong software engineering fundamentals meet applied machine learning—helping define the future of agentic operational intelligence within Oracle Health.
Responsibilities
- Architect, build, and deploy scalable anomaly detection systems across operational data sources (incidents, change records, support tickets, telemetry, and performance signals).
- Develop and operationalize machine learning services that integrate seamlessly into observability, monitoring, and operational pipelines.
- Build GenAI-powered intelligence services, including automated summarization, contextual signal correlation, and workflow automation capabilities.
- Design and implement infrastructure that enables real-time detection, insight generation, and semi-autonomous operational workflows under defined guardrails.
- Own the end-to-end ML engineering lifecycle, including data ingestion, feature pipelines, model packaging, deployment, monitoring, scaling, and reliability improvements.
- Guide architectural decisions related to distributed systems, model serving, streaming pipelines, observability integration, and AI platform utilization.
- Partner closely with data scientists, SRE, product, and operations teams to translate complex operational requirements into scalable, production-ready AI systems.
- Ensure reliability, performance, and maintainability of ML services in high-availability cloud environments.
- Mentor engineers and contribute to engineering excellence through code quality, testing standards, and deployment best practices.
- Stay current with advancements in ML systems engineering, anomaly detection infrastructure, applied GenAI, and agentic AI architectures—leading evaluation and adoption where appropriate.
Benefits
- True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
