The Applied AI organization mission is to design and AI solutions for data that are simple for all personas, including users, analysts, DBAs and developers and useful for all apps and all workloads. We are in aggressive growth journey with a team of highly energetic, technology savvy engineers and are looking to grow further to meet the demands of building a powerful AI data platform. You should be comfortable working in a fast-paced environment which requires agility, ability to adapt as priorities shift, and a passion to deliver high quality solutions. You will be part of a team of smart, motivated, diverse people.
The candidate will also work on the Database Knowledge Assistant (DBKnw). The assistant accurately answers questions about the Oracle Database and related products and services. It improves productivity for developers, support, customers, and partners. DBKnw consolidates the content from various data silos, divides this content into chunks, stores embeddings for these chunks in the Oracle Database, and uses the AI Vector Search capabilities in Oracle AI Database 26ai to find similar content chunks when generating answers using the OCI Generative AI Service.
Job Description:
Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.
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 defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems.
Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. Leading contributor individually and as a team member, providing direction and mentoring to others. BS or MS degree or equivalent experience relevant to
functional area with 4+ years of software engineering or related experience.
As a member of this team, you will implement machine learning based solutions and algorithms and apply them to improve various software engineering process at Oracle.
Requirements:
BS/MS/PhD degree in computer science, computer engineering, applied math or related field
Proficiency with machine learning algorithms and concepts
Proficiency with coding in Python
Proficiency with Oracle database schema management and operation
Familiarity with code development in PL/SQL, C, C++
4+ years of work experience
3+ years of experience in developing or using deep learning frameworks e.g. TensorFlow, Keras, etc.
Strong programming skills with proven experience designing, prototyping, and delivering machine learning solutions into production
Designed and supported RAG based production class application
Excellent written and oral communication skills
Strong interpersonal skills and willingness to be a team player
Strong analytical skills and an independent thinker
Familiarity with natural language processing (NLP) techniques and models ideally with transformer architectures
Previous experience with crawling and parsing documents in HTMl, pdf, other format
Familiarity with embeddings and vector search
Familiarity with working with large language models
Familiarity with chunking strategies
Familiarity with prompting strategies
Familiarity with Siamese Networks and Triplet Loss
Familiarity with Retrieval Augmented Generation (RAG) pipeline and optimization strategies
Familiarity with various LLM reference-based and reference-free evaluation techniques
Familiar with various OCI services
Maintain and optimize ML application in production environment to handle high volume requests
Responsibilities:
Own the development of machine learning algorithms
Design and implement RAG based and Agentic applications
Design scalable and highly available machine learning and RAG based and Agentic applications
Improve the accuracy of existing algorithms to an acceptable level
Broaden existing algorithms to work well with various Oracle products
Improve the run-time of existing algorithms
Develop and maintain necessary infrastructure to run and maintain the ML based applications
Develop a feedback system to improve the accuracy of the recommendation system or AI application
Career Level - IC3