Search Jobs
Search by job, company or skills
Search by job, company or skills
As a Principal Machine Learning Engineer, you should be proficient in Data Structures and Algorithms, Java, object-oriented principles, building distributed systems, vector databases, containerization, orchestration, and cloud-native architectures. You will collaborate with cross-functional teams to build scalable, reliable, and production-ready solutions. Oracle is investing heavily in Generative AI, and as a Senior ML Engineer, you must have a good understanding and experience in leveraging the capabilities of Large Language Models.
In this role, you will design, develop, and build scalable services that leverage the latest and greatest advancements in GenAI to solve complex business problems intelligently. Your expertise will be pivotal in developing Conversational AI solutions, Agentic flows using LLM and other cutting-edge Machine learning techniques to shape up and enhance users experience with AI/ML/GenAI capabilities. You will also partner with product managers, software engineers, and operation teams to leverage engineering innovations to simplify the business requirements into scalable solutions.
The ideal candidate is highly technical, proficient in Java, Python, Data Structures, Algorithms, Kubernetes and has experience in building scalable solutions particularly around ML and AI/GenAI, but can lead across the full stack, along with good product sense and business understanding, to map the technology choices to the context of each initiative.
Career Level - IC4
Login to check your skill match score
Date Posted: 22/11/2024
Job ID: 101111419
Oracle Corporation is an American multinational computer technology corporation headquartered in Austin, Texas.In 2020, Oracle was the second-largest software company in the world by revenue and market capitalization.The company sells database software and technology (particularly its own brands), cloud engineered systems, and enterprise software products, such as enterprise resource planning (ERP) software, human capital management (HCM) software, customer relationship management (CRM) software (also known as customer experience), enterprise performance management (EPM) software, and supply chain management (SCM) software.
