Machine Learning Engineer - Senior / Principal/ Senior Principal
Job Description
Oracle Health AI (OHAI) is seeking a Machine Learning Engineer to join their team focused on transforming healthcare through advanced AI and ML technologies. This role combines cutting-edge AI development with real-world healthcare applications, leveraging Oracle's cloud infrastructure and healthcare expertise. The position involves designing and implementing scalable ML solutions, working with Large Language Models, and building next-generation healthcare products.
As a Machine Learning Engineer, you'll be responsible for developing AI solutions that improve patient outcomes and streamline clinical workflows. You'll collaborate with product managers, technical leaders, and medical experts to translate healthcare requirements into actionable AI projects. The role requires expertise in ML system architecture, model deployment, and API development.
The ideal candidate brings 3-5+ years of ML engineering experience, strong technical understanding of ML/DL architectures, and a track record of delivering production-quality code. Healthcare domain knowledge is a plus. You'll work in a collaborative environment, mentoring team members while staying current with the latest AI technologies.
Oracle offers competitive benefits, work-life balance, and opportunities for global impact. Join us in using AI to solve some of healthcare's most challenging problems while working with industry-leading cloud infrastructure and data platforms. This is a chance to shape the future of healthcare technology while growing your career at a world-class technology company.
Responsibilities For Machine Learning Engineer - Senior / Principal/ Senior Principal
- Partner with product managers to translate business and healthcare requirements into actionable AI projects
- Collaborate with technical leaders and multinational AI teams to deliver high-impact features
- Design and build scalable systems for data processing, training, and deployment of generative AI models
- Develop performant, secure APIs and services for generative AI model capabilities
- Create tools and workflows for experiment reproducibility and dataset management
- Perform programming tasks, deliver production quality code, conduct PR reviews
- Lead and mentor both junior and senior applied scientists
Requirements For Machine Learning Engineer - Senior / Principal/ Senior Principal
- 3-5 or 5+ years of experience as a machine learning engineer
- Experience in designing and implementing scalable ML solutions and pipelines
- Experience in architecture design, deployment/monitoring, API engineering
- Experience with LLMs and code assistance
- Understanding of Machine Learning/Deep Learning architectures like Transformers
- Masters or bachelor's in computer science or related field
- Knowledge of healthcare and experience delivering healthcare AI products (preferred)
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