Senior ML Engineer

At Oracle Cloud Infrastructure (OCI), this role is centered on reimagining enterprise cloud operations by automating incident detection, diagnosis, and resolution using AI and GenAI. As an ML Engineer, you will design and build intelligent AI solutions that proactively manage cloud environments and enhance operational excellence.

Key Responsibilities

• Lead AI Agent Development : Drive the end-to-end design and development of AI agents tailored for cloud operations, ensuring scalability, reliability, and alignment with customer needs.
• Tooling & Infrastructure : Architect and implement tools and frameworks that accelerate AI agent development, experimentation, deployment, and monitoring.
• Model Assessment : Design and execute robust methodologies to evaluate agent performance, safety, and accuracy across diverse operational scenarios.
• Meta Prompting Innovation : Develop advanced meta prompting techniques to dynamically adapt prompts and maximize LLM utility in varied, real-time operational contexts.
• GenAI / LLM Integration : Integrate cutting-edge LLM technologies into OCI systems, leveraging fine-tuning, retrieval-augmented generation (RAG), and other advanced techniques.
• Cross-Functional Collaboration : Partner with product, UX, and engineering teams to align technical solutions with business priorities and user experience.
• Customer Engagement : Collaborate directly with enterprise customers to gather requirements, validate solutions, and ensure agent effectiveness in production environments.

Required Qualifications

Preferred Qualifications

Skills Required

Python, MLops, Pytorch