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