Principal Engineer
1 week ago
Oracle Cloud Infrastructure (OCI)
is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). OCI is developing powerful, generative AI services for organizations worldwide. Oracle will provide native generative AI services to help organizations automate end-to-end business processes, improve decision-making, and enhance customer experiences, in collaboration with Cohere, a leading AI platform for enterprise. Built on Oracle Cloud Infrastructure (OCI) and leveraging Oracle’s unique Supercluster capabilities, Oracle generative AI services will span applications to infrastructure and aim to provide the highest levels of security, performance, and value in the industry.
What OCI Generative AI Cloud Services are:
Generative AI refers to technology that is capable of producing text, image, audio, and video based on user’s needs. OCI is building Generative AI cloud service on public cloud, that are powered by Large Language Models to meet the Enterprise needs.
What You’ll DoDevelop Generative AI services and enterprise specific services around Generative AI with best-in-class security for customers.Develop scalable infrastructure, including microservices and backend for UI, dashboards and other interactive applications.Benchmark and evaluate Generative AI Services.Work in various MLOps tools in Python using machine learning libraries like MLflow, Kubeflow, Optuna, Sigopt and various other techniques for model and data versioning.Deploy and scale Gen AI model on OKE cluster.Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs and understanding theirs and address external and internal shareholder's product challenges.Leverage Cloud technology – Oracle Cloud (OCI), AWS, GCP, Azure, Heroku or similar technology.
QualificationsBachelor’s or master’s degree (preferred) in Computer Science, Computer Engineering, or related technical field.10+ years experience developing commercial software in a distributed environment.Expert in at least one high level language such as Java/C#/C++ (Java preferred)Expert in at least one scripting language such as Python, JavaScript, Shell (Python and JavaScript preferred)Expert in at least one UI framework, e.g., react JS, angular etcPractical experience in design, implementation and production deployment of distributed systems using microservices architecture and API’s using common frameworks like Spring Boot (Java), Vertex.io etcWorking knowledge of current techniques and approaches in machine learning and statistical or mathematical modelsPractical experience in Big Data technologies – Spark, Spark streaming, Hadoop, Object Storage (S3), KafkaPractical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, Heroku or similar technology.Experience or willingness to learn and work in Agile and iterative development and DevOps processes.Strong drive to learn and master new technologies and techniques.Deep understanding of data structures, algorithms, and excellent problem-solving skills.You enjoy a fast-paced work environment.
Additional Preferred QualificationsExperience with Cloud Native Frameworks tools and products is a plusHaving an impressive set of GitHub projects or contributions to open source technologies is a plusHands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies like Cassandra
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