Job Description:
As a member of this team, you will work on implementing model registration capabilities and developing tools that provide built-in support for managing both embedding and generative models inside Oracle Database.
You will collaborate with core database engineers to design APIs and infrastructure that allow customers to discover, run, attach, and monitor AI models directly within the database environment.
Your contributions will help close the gap between vector databases and enterprise AI needs by bringing model lifecycle management into the data layer.
You will have these responsibilities:
- Design and implement model registration capabilities within Oracle Database
- Build tools and APIs to manage embedding and generative models in-database
- Enable developers to attach models to vector and relational columns
- Improve performance, scalability, and reliability of AI vector search features
- Explore and evaluate new model providers and integrations
- Track competitive landscape and industry trends in vector search and generative AI
- Collaborate with core database engineering teams to ensure seamless integration
- Develop monitoring and observability capabilities for model execution
- Ensure governance, security, and compliance best practices are maintained
- Participate in cloud deployment and lifecycle management of AI capabilities
Desired Skills:
- Strong proficiency in machine learning concepts and AI systems
- Solid understanding of vector search, embeddings, and Retrieval-Augmented Generation (RAG)
- Proficiency with database schema management and relational systems
- Strong programming skills in Python
- Experience with PL/SQL, C, C++, Java, or similar (at least 2 preferred)
- Experience working with cloud services and distributed systems
- 6+ years of software development experience
- 3+ years of experience with deep learning frameworks (TensorFlow, PyTorch, Keras, etc.)
- Strong understanding of algorithms and data structures
- Familiarity with DevOps practices (Git, CI/CD, Terraform, automation)
- Understanding of networking fundamentals and security best practices
- Strong analytical skills and ability to work independently
- Excellent written and verbal English communication skills
Preferred Skills:
- Familiarity with NLP systems and generative AI architectures
- Experience designing and implementing AI/ML-based systems
- Experience building or optimizing RAG pipelines
- Knowledge of model lifecycle management and MLOps practices
- Experience integrating external AI model providers
- BS/MS/PhD in Computer Science, Computer Engineering, Applied Math, or related field
Responsibilities -
- Design and implement model registration capabilities within Oracle Database
- Build tools and APIs to manage embedding and generative models in-database
- Enable developers to attach models to vector and relational columns
- Improve performance, scalability, and reliability of AI vector search features
- Explore and evaluate new model providers and integrations
- Track competitive landscape and industry trends in vector search and generative AI
- Collaborate with core database engineering teams to ensure seamless integration
- Develop monitoring and observability capabilities for model execution
- Ensure governance, security, and compliance best practices are maintained
- Participate in cloud deployment and lifecycle management of AI capabilities
Career Level - IC4
