Oracle Data Science Job Alerts | Bangalore

Qualifications

• Master’s degree or PhD in Computer Science, Engineering, Mathematics, or related experience.
• 2+ years of experience in data science
• Focus on building and deploying language AI
• Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or R.
• Experience with cloud platforms (e.g., AWS, OCI) and containerization technologies (e.g., Docker, Kubernetes).
• Solid understanding of NLP fundamentals and experience with NLU/NLG techniques such as sentiment analysis, entity recognition, and text generation.
• Preference for expertise in developing RAG models, working with vector databases, and fine-tuning large language models.
• Excellent problem-solving abilities and a pragmatic approach to building scalable and robust machine learning systems.
• Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders
• You are comfortable with ambiguity. You have a strong sense of ownership, can define your own workplan, set goals for others, and can drive projects to completion.
• You are excited to learn new technologies and stay on the cutting edge of what’s possible
• You have taken a product or platform from 0 to 1, you know what it takes to launch something

About the Job

Oracle seeking a highly skilled Data Scientist to modernize OHAI’s Revenue Cycle product portfolio with AI native applications. As a Senior Data Scientist specializing in AI/ML, you will play a pivotal role in architecting, developing, and deploying state-of-the-art models to power our Revenue Cycle product suite.

You will collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to unlock machine learning capabilities in all our products. Our new platform will be built directly on Oracle Cloud Infrastructure (OCI) based on cloud native principles. We build to scale globally, leveraging state-of-the-art tooling, with zero downtime.

Key Roles & Responsibilities:

• Design and develop solutions for
  • medical language learning through language models
  • medical code and group code (per various specifications) using large language model
  • contract interpretation
  • transforming rules and workflows into decision tree using deep learning ML models
  • risk detection/anomaly detection using deep learning ML model
• Work with Engineering team for training data acquisition and data analysis
• Follow the process for ML use case evaluation and planning
• Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval
• Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts
• Fine-tune and optimize large language models such as Cohere for specific use cases in the healthcare.
• Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to solve various use cases.
• Collaborate with engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance