Senior Member Technical Staff

Tools for accessing data provenance and lineage will be available as well.

Powerful and impactful models: Oracle s generative AI services leverage Cohere s pioneering foundational LLMs and can be customized and improved based on Oracle s unique industry knowledge and data insights.

In addition, customers can further refine these models using their own data to increase accuracy for specific business use cases.

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 play-test, 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 innovate 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.

We are addressing exciting challenges at the intersection of generative artificial intelligence and innovative cloud infrastructure.

Our product vision includes the ability for enterprises to be able to customize Generative AI services for their business and fine tune them to specialize in their data.

As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems.

Provide technical leadership to other software developers.

Specify, design and implement modest changes to existing software architecture to meet changing needs.

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.


* Deploy and scale Gen AI model on OKE cluster.


* Maintain OCI s Generative AI offerings in production and provide on-call monitoring & support to customers
* Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs and understanding theirs and address external and internal shareholder s product challenges.

Qualifications
* Bachelor s or master s degree or equivalent experience (preferred) in Computer Science, Computer Engineering, or related technical field.


* Expert in at least one high level language such as Java/C#/C++ (Java preferred)
* Expert in at least one scripting language such as Python, JavaScript, Shell (Python and JavaScript preferred)
* Proficiency in at least one UI framework, eg, react JS, angular will be an added advantage
* 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.


* You enjoy a fast-paced work environment

Additional Preferred Qualifications

* Experience with Cloud Native Frameworks tools and products is a plus

* Working knowledge of current techniques and approaches in machine learning and statistical or mathematical models
* Having an impressive set of GitHub projects or contributions to open source technologies is a plus
* Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, Heroku or similar technology.


* Exposure to data stores such as Hadoop and other NoSQL technologies like Cassandra