Oracle

Software Developer 3

Job Description

About Org:

Oracle’s Observability and Management platform (O&M) provides a suite of services that Monitor, analyze, and manage multi-cloud applications and infrastructure environments with full-stack visibility, prebuilt analytics, and automation.

Oracle Cloud Infrastructure (OCI) Stack Monitoring in O&M is used to track the performance of the resources in a tenancy. It provides an enterprise-wide view of the of the stack running on OCI. The team provides discovery and monitoring service for cloud-scale applications, bringing together data from servers, databases, tools, and services to present a unified view of an entire stack. It provides next-generation integrated monitoring, management, and analytics solutions for IT organizations. It enables organization to gain an end-to-end view of applications from end-users to the underlying infrastructure, effectively manage diverse IT environments and drive DevOps efforts.

 

About Position:

The candidate we are looking for is a passionate Generative AI engineer with foundational experience in AI technologies, machine learning, and data processing.

The candidate will play a key role in the OCI Stack Monitoring team. As a team member, you will collaborate with senior engineers to develop AI models and solutions that drive innovation in content generation, automation, and problem-solving.

You will leverage ML / GenAI to enhance observability, automate anomaly detection, automate root cause analysis, implement intelligent noise reduction, and optimize performance in the field of cloud monitoring.

 

Responsibilities:

  • Assist in designing and implementing generative AI models.
  • Support data preprocessing tasks, including cleaning, augmenting, and creating synthetic datasets for model training.
  • Collaborate with cross-functional teams to integrate AI solutions into products and services.
  • Analyse model performance, troubleshoot issues, and optimize algorithms for better accuracy and efficiency.
  • Stay updated on advancements in generative AI research and tools to apply innovative techniques to projects.

 

Education and Experience Requirements:

  • Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Proficiency in Python; familiarity with AI frameworks such as TensorFlow or PyTorch.
  • Foundational understanding of generative models and natural language processing.
  • Experience with data preprocessing techniques and working with large datasets.
  • Basic knowledge of deploying AI applications on cloud platforms.
  • Strong problem-solving abilities, analytical thinking, teamwork, and effective communication skills.
  • Exposure to ethical AI practices and considerations in model development is a plus.

Career Level - IC3


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