Software Developer 4 at Oracle Risk Management Services

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Python, Kubernetes, Microservices, Backend, ML Models, Computer Vision, NLP, Speech, Decision Support, Pytorch, TensorFlow, Jax, BigData, Hadoop, Spark

Industry

IT Services and IT Consulting

Description

Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.Oracle Cloud Infrastructure (OCI) is a strategic focal point for Oracle, offering comprehensive cloud services across IaaS, PaaS, and SaaS. As part of OCI's AI Services, we're creating the future-ready Cloud AI Service, a suite of ML-powered services to modernize enterprises. These services seamlessly integrate with existing OCI offerings, enabling easy AI integration without AI expertise. Join us in crafting the future of Machine Learning by building AI Cloud services that address key gaps in Decision Support, NLP, Vision, and Conversational AI for public clouds and enterprises. Collaborate on challenging AI-cloud intersections, designing scalable infrastructure, and developing AI core services while utilizing modern technologies like Java, Python, Kubernetes, and more. Be a driving force in this dynamic growth journey, contributing to a cutting-edge AI experience on Oracle Cloud. 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. What You’ll Do Design / 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. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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Responsibilities

The role involves designing and developing scalable infrastructure, including microservices and backend systems, to automate the training and deployment of Machine Learning models for core Artificial Intelligence services like Vision, Speech, and Language. Responsibilities also include brainstorming and designing Proofs of Concept (POCs) using Perpetual AI Services for enterprise problems and leading research to improve backend development processes.