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Tier-1 brand and metro location with specialized ML requirements produce moderate competition.
Role requires specialized ML/LLM, RAG and database expertise, so background fit is highly industry-specific.
Explicit senior years plus many mandatory ML, LLM and database skills make shortlisting highly strict.
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Own design and development of machine learning algorithms and RAG-based applications integrated with Oracle products.
Develop, maintain, and optimize scalable, highly available AI/ML applications and related infrastructure in production environments.
Improve algorithm accuracy and runtime performance, and develop feedback systems to enhance AI recommendation accuracy.
Bachelor's/Master's/PhD in Computer Science, Computer Engineering, Applied Math, or related field.
Minimum 4 years of software engineering or related work experience.
Proficiency in machine learning concepts and coding in Python; experience with deep learning frameworks (TensorFlow, Keras).
Experience with Oracle database schema management, PL/SQL, C/C++; familiarity with NLP techniques, embeddings, vector search, and large language models.
Experienced in developing production-grade machine learning and Retrieval Augmented Generation (RAG) applications, including designing scalable, highly available solutions.
Strong background in AI/ML algorithm development, especially with NLP and transformer architectures, and hands-on familiarity with Oracle Cloud Infrastructure (OCI) services.
Able to own end-to-end ML system development and improvements aligned with Oracle's AI data platform demands, demonstrating advanced software engineering skills.