Senior Applied Scientist - Oracle Health and AI @ Oracle
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Job Details
Overview
At Oracle Health and AI, we're redefining the future of healthcare applications with cutting-edge AI technology, especially in Generative AI. As a Senior Applied Scientist, you will play a pivotal role in shaping groundbreaking AI solutions and transforming patient care in partnership with Oracle Cerner.
Responsibilities
- Lead the architectural design of scalable and reliable AI solutions.
- Guide projects from research to full-scale production.
- Influence strategic decisions at an executive level.
- Collaborate with diverse, multinational teams.
- Leverage breakthroughs in generative AI and deep learning.
- Design, review, and mentor in AI solution development.
- Develop production-level code and advocate best practices.
- Participate in planning, reviews, and continuous improvements.
- Identify risks and ensure alignment between business and engineering.
Qualifications and Experience
Applicants should have extensive experience designing and deploying scalable AI models, leading AI projects, and managing cross-functional teams. You should also have deep technical knowledge in Machine Learning, Deep Learning, and generative AI including LLMs and related technologies, as well as a robust publication record in top-tier journals or conferences.
Preferred Qualifications
Experience in the healthcare domain and familiarity with computer vision and multimodal modelling is highly valuable.
Education
Advanced degree in Computer Science, Mathematics, or a related field is preferred. Candidates with a Master’s or Bachelor's degree and significant experience will also be considered.
Key skills/competency
- Generative AI
- Large Language Models
- Deep Learning
- Machine Learning
- Healthcare AI
- Architectural Design
- Project Management
- Team Leadership
- Research
- Innovation
How to Get Hired at Oracle
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant Generative AI projects and leadership roles.
- Showcase technical expertise: Emphasize skills in LLMs and deep learning frameworks.
- Prepare for interviews: Be ready to discuss AI strategy and project management.
- Research Oracle: Understand their culture, mission, and healthcare innovations.