Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). OCI is developing powerful, generative AI services for organizations worldwide. Oracle will provide native generative AI services to help organizations automate end-to-end business processes, improve decision-making, and enhance customer experiences. Built on Oracle Cloud Infrastructure (OCI) and bringing to bear Oracle’s unique Supercluster capabilities, Oracle generative AI services will span applications to infrastructure and aim to provide the highest levels of security, performance, and value in the industry.

What OCI Generative AI Cloud Services are: Generative AI refers to technology that is capable of producing text, image, audio, and video based on user’s needs. OCI is building Generative AI cloud service on public cloud, that are powered by Large Language Models to meet the Enterprise needs. It will deliver:

Unrivalled data security, privacy, and governance: OCI’s generative AI service will allow customers to have complete control and ownership of their data. In addition, unlike other generative AI offerings, Oracle’s generative AI services will not mix customer data. As a result, a given business’ competitive advantage will always remain its own. Tools for accessing data provenance and lineage will be available as well. Embedded generative AI services: By making generative AI pervasive across its portfolio of cloud applications—including ERP, HCM, SCM, and CX—Oracle will enable customers to take advantage of the latest innovations within existing business processes. Oracle will deploy new models for Healthcare and Public Safety and embed generative AI throughout its industry-specific applications. These AI services will boost knowledge workers’ productivity and efficiency while freeing up time for ideation, creativity, and beneficial tasks and improving the overall employee experience. In addition, Oracle will embed generative AI capabilities into its database portfolio in the same way that it introduced machine learning features in Oracle Database and MySQL HeatWave. Generative AI available wherever customers need it: Customers can use the generative AI service in OCI and leverage all the advantages of public cloud to scale solutions on demand, customize models, and create private model endpoints for their business. In addition, Oracle will deliver generative AI services to organizations’ data centers, enabling them to combine generative capabilities together with their on-premises data and applications.

Your Opportunity: As we invent to provide a complete, end-to-end platform for generative AI, with advanced security, best-in-class data management, and a comprehensive portfolio of cloud applications able to address any business problem, we will be extremely happy to have you join us and share the very future of our Generative AI platform by building a cloud native Generative AI service.

As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. You will be responsible for tasks associated with the developing, designing and debugging of software applications or operating systems.

What You’ll Do

Develop Generative AI services and enterprise specific services around Generative AI with best-in-class security for customers. Develop scalable infrastructure, including microservices and backend for UI, dashboards and other interactive applications. Participate in cloud native development involving identity, logging, tagging, limits, service gateway, private network and other infrastructure concepts Participate in on-call duty and production operations on rotation

Qualifications

Bachelor’s or master’s degree or equivalent experience (preferred) in Computer Science, Computer Engineering, or related technical field. proven experience in developing enterprise applications, distributed systems preferably in cloud environment Expert in at least one high level language such as Java or Python (Java preferred)  Working knowledge in at least one UI framework, e.g., react JS, angular etc Practical experience in design, implementation and production deployment of distributed systems using microservices architecture and API’s using common frameworks like Spring Boot (Java), Vertex.io etc Working knowledge of current techniques and approaches in machine learning and statistical or mathematical models  Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, Heroku or similar technology. Experience or willingness to learn and work in Agile and iterative development and DevOps processes. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algorithms, and excellent problem-solving skills.

Additional Preferred Qualifications         

Experience with Cloud Native Frameworks tools and products is a plus Having an impressive set of GitHub projects or contributions to open source technologies is a plus Hands-on experience or knowledge in Machine Learning Engineering, ML framework, ML Ops or Data Science

Career Level - IC3