Senior MLE Engineer

Job Description At Oracle Health and AI (OHAI), we're not just building the future of healthcare applications - we're redefining it. Our diverse team of visionaries and innovators is at the forefront of cutting-edge AI technology, particularly Generative AI, where creativity meets precision. As pioneers in this space, we've consistently delivered industry-leading AI solutions, notably for the Oracle Clinical Digital Assistant, solidifying our reputation as trusted leaders in the field. Now, as we expand rapidly, we're channeling our expertise into transformative Generative AI solutions that promise to revolutionize healthcare for millions. Operating within a dynamic, agile environment, we enjoy strong backing from senior leadership and have a clear, impactful mission. Our close partnership with Oracle Cerner enables us to directly influence patient care on a massive scale, driving real change. As our Senior MLE Engineer, you'll be at the heart of this transformation, shaping the future of AI at OHAI. Your expertise in Large Language Models (LLMs) and Generative AI will be crucial in bringing our visionary solutions to life, delivering groundbreaking healthcare applications that will set new standards across the industry. Responsibilities Qualifications and Experience :  3-5 or 5+ years of experience working as a machine learning engineer delivering products in real world applications.   Demonstrated experience in designing and implementing scalable ML solutions, frameworks and pipelines for production.   Demonstrated experience in architecture design, deployment/monitoring, API and service engineering, workflow and tooling development.  Demonstrated experience in leveraging LLMs (such as code assist) to accelerate the above development activities.  Good technical understanding of Large Language Model, Machine Learning / Deep Learning architectures like Transformers, training methods, and optimizers.  Proven experience in coaching teams on engineering practices and PR reviews.  Commitment to staying up to date with the field and applying latest technologies to solve complex business problems and bringing them into production.  Preferred Qualifications:    Knowledge of healthcare and experience delivering healthcare AI products are a significant plus.  Having referrable products delivered before is a significant plus.  Education :  Masters or bachelor’s in computer science or related field with 3-5 or 5+ years relevant experience  Responsibilities :  AI Product Development: Partner with product managers to translate business and healthcare requirements into actionable AI projects. Technical Leadership: Collaborate with technical leaders and multinational AI teams to deliver high-impact features and services on schedule. Cross-Functional Collaboration: Engage with both internal medical experts and customers to deeply understand healthcare contexts and inform AI solution development. Project Delivery: Drive projects from concept to production, participating in planning, review, and retrospective meetings. System Architecture and Infrastructure : Design and build scalable systems to support data processing, training, and deployment of generative AI models, while efficiently managing compute resources. Deployment and Monitoring : Automate deployment of generative models to production and set up monitoring to track their performance, reliability, and operational health. API and Service Engineering : Develop performant, secure APIs and services that enable seamless integration and scalable access to generative AI model capabilities. Development Workflow and Tooling : Create tools and workflows that ensure experiment reproducibility, dataset management, and smooth collaboration throughout the model lifecycle. Software Engineering Best Practices : Apply software engineering standards - such as modular code, testing, and documentation - to ensure maintainability and stability of ML systems. Hands-on Programming and Code Review : Perform day to day programming task, deliver production quality codes, do PR reviews and set bars for PR review process, advocating for maintainability and robustness. Mentorship: Lead and mentor both junior and senior applied scientists, fostering growth and technical excellence. #LI-DNI Qualifications Career Level - IC4