Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.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 currently building a future-ready Gen2 cloud Data Science service platform. At the core of this platform, lies Cloud AI Cloud Service.
What OCI AI Cloud Services are: A set of services on the public cloud, that are powered by ML and AI to meet the Enterprise modernization needs, and that work out of the box. These services and models can be easily specialized for specific customers/domains by demonstrating existing OCI services.
Key Points: Enables customers to add AI capabilities to their Apps and Workflows easily via APIs or Containers, Useable without needing to build AI expertise in-house and Covers key gaps – Decision Support, NLP, for Public Clouds and Enterprise in NLU, NLP, Vision and Conversational AI.
You’re Opportunity: As we innovate to provide a single collaborative ML environment for data-science professionals, we will be extremely happy to have you join us and share the very future of our Machine Learning platform - by building an AI Cloud service.
We are addressing exciting challenges at the intersection of artificial intelligence and innovative cloud infrastructure. We are building cloud services in Computer vision for Image/Video and Document Analysis, Decision Support (Anomaly Detection, Time series forecasting, Fraud detection, Content moderation, Risk prevention, predictive analytics), Natural Language Processing (NLP), and, Speech that works out of the box for enterprises. Our product vision includes the ability for enterprises to be able to customize the services for their business and train them to specialize in their data by creating micro models that enhance the global AI models.
Develop scalable infrastructure, including microservices and backend, that automates training and deployment of ML models.
Building core of Artificial Intelligence and AI services such as Vision, Speech, Language, Decision, and others.
Brainstorm and Design various POCs using AI Perpetual AI Services for new or existing enterprise problems.
Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs and understanding theirs and addressing external and internal shareholder product challenges.
Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes.
Experiment with ML models in Python using machine learning libraries (Pytorch, TensorFlow, Jax), BigData, Hadoop, HBase, Spark, etc.
Leverage Cloud technology – Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology.
Career Level - IC3