Data Scientist/AI Engineer (LLM/RAG)

We’re seeking a highly skilled Data Scientist/AI Engineer to join our passionate team and contribute to the development of cutting-edge RAG models and large language models, leveraging advanced techniques in Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG). 

As a Senior Machine Learning Engineer specializing in Conversational AI, you will play a pivotal role in architecting, developing, and deploying state-of-the-art models to power our conversational AI product suite. You will collaborate closely with multi-functional teams including product managers, software engineers, and data scientists to ensure the magnificent integration of machine learning capabilities into our solutions.

Career Level – IC3

Responsibilities
   • You will collaborate closely with cross-functional teams including product managers, software engineers, and data scientists to ensure the seamless integration of machine learning capabilities into our solutions
   • Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation in conversational AI systems
   • 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 technology, Construction & utilities domain.
   • Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to enhance the capabilities and performance of our conversational AI products
   • Collaborate with software engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance
   • Conduct research and stay abreast of the latest advancements in machine learning, NLP, and conversational AI to drive innovation and maintain competitive advantage
   • Provide technical leadership and mentorship to junior members of the machine learning team, fostering a culture of continuous learning and growth
 

Key Responsibilities:
   • Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation in conversational AI systems.
   • Use & build vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts.
   • Fine-tuned and optimized use of large language models such as Cohere for specific use cases in the technology & Industries (Construction, Utilities) domain.
   • Implement and experiment with powerful NLP, NLU, and NLG techniques to enhance the capabilities and performance of our conversational AI products.
   • Collaborate with software engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance.
   • Conduct research and stay abreast of the latest advancements in machine learning, NLP, and conversational AI to drive innovation and maintain competitive advantage.
   • Provide technical leadership and mentorship to junior members of the machine learning team, fostering a culture of continuous learning and growth.

Qualifications:
   • Master’s degree or higher in Computer Science, Engineering, Mathematics, or related field. Advanced degree preferred.
   • 5+ years of experience in machine learning engineering, with a focus on building and deploying conversational AI solutions.
   • Confirmed expertise in developing RAG models, working with vector databases, and fine-tuning large language models.
   • Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or JAX.
   • 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.
   • 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
   • Experience with OCI/AWS and related services is desirable.
 

Life at Oracle: 

An Oracle career can span industries, roles, countries and cultures, giving you the opportunity to take on new roles and challenges, while blending work and life. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. To cultivate the talent that makes this happen, we work hard to build a vibrant and inspiring workplace that celebrates diverse, hardworking teams where everyone can contribute. We look after each other, and value giving back to the community. We have flexible work arrangements and offer benefits including generous paid parental leave and comprehensive premium medical insurance.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

https://www.oracle.com/corporate/careers/diversity-inclusion/

#LI-JC1

#LI-REMOTE

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range: from $86,700 to $199,500 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer