Applied Scientist 4

About Oracle and OHAI

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence.

About ODA

Within the larger Oracle Health & AI organization, the Oracle Digital Assistant (ODA) is an Assistant platform that enables developers to create their own skills and digital assistants using the Conversational AI and Generative AI capabilities exposed to them in a low-code paradigm. The ODA team has been powering conversational AI experiences for all internal Oracle teams and several external customers for the past 7 years and is evolving rapidly to provide Generative AI solutions for the healthcare and enterprise domains. We operate in an agile environment with a substantial charter, high visibility, and support from senior leadership.

About the team

We are looking for ML scientists, Data Engineers, Software Development Engineers, Product/Program Managers and ML engineers with a strong background in machine learning to build industry-leading solutions. You will work with huge volumes of data to solve/enable solving real-world problems in the Healthcare domain that are productionized into our Health AI products. Your solutions will be productized as features in the end products. These are new teams that we are putting together in India Center from scratch and the work will span across New Feature Development for CDA Specialty Expansion & Innovation, Language & Region Expansion, Software Development across front-end, back-end, test automation and mobile, ML Engineering, MLOps, LLMOps, Applied ML Sciences and ML Research, with a huge focus on GenAI capabilities. There is a huge emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers.

Qualifications

• Ph.D. Degree preferred.
• Experience having led multiple projects leveraging LLMs, GenAI and Prompt Engineering Exposure to real-world MLOps deploying models into production adding features to products
• Knowledge of working in a cloud environment
• 5+ Years of Experience
• Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot

Career Level - IC4

Responsibilities

• Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras) and understanding of LLMs, LLMOps and Generative AI - to be able to deliver per specifications; complete assignments without assistance by exercising judgment & appropriate actions
• Knowledge of Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP. Hands-on develop ML models using the above techniques
• Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up; Able to prepare data pipelines and feature engineering pipelines to build robust models
• Combine ML Sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across Healthcare domain
• Drives selection of methods and techniques to drive solutions
• Demonstrate strong program management to be able to multi-task effectively
• Be able to mentor & lead junior data scientists effectively
• Contribute to peer reviews, team learning, meeting product objectives and develop best practices for the organization
• Strong research record preferred demonstrated, through publications
• Scientific thinking and ability to invent: Prior experience creating intellectual property through patents desirable
• Identify and investigate new technologies, prototype and test solutions for product features and design/validate patterns that deliver a compelling experience
• Take responsibility for technical problem solving to meet product objectives and develop best practices
• Ability to resolve complex business problems in creative and effective ways
• Strong experience in LLM Systems and LLMOps. Prior experience with Prompt Engineering and RAG systems