Senior ML Engineer

Job Description
At
Oracle Cloud Infrastructure (OCI)
, we're reimagining how enterprise cloud operations work—and we want you to be part of it.

OCI is a hyperscale cloud platform where operations are central to customer success. To scale and stay ahead, we're automating
incident detection, diagnosis, and resolution
—pushing the boundaries of
AI and GenAI
in cloud operations.

As an
ML Engineer
, you'll design and build intelligent AI solutions that proactively manage cloud environments, enhance operational excellence, and deliver world-class customer experiences.

If you're passionate about solving complex technical challenges and shaping the future of the autonomous cloud,
this is your moment.
Responsibilities
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
Overall 5+ years with 2+ years of experience in Machine Learning Engineering, with hands-on experience in building AI agents and production-grade ML systems.

Proven expertise in large language models (LLMs), transformers, and GenAI technologies.

Demonstrated experience in prompt engineering and developing prompting strategies for LLM-based applications.

Demonstrated ability to evaluate and optimize AI agent performance in real-world, mission-critical environments.

Solid programming skills in Python and practical experience with ML frameworks such as PyTorch or TensorFlow.

Deep understanding of MLOps practices, including model deployment, scalability, observability, and lifecycle management.

Excellent problem-solving skills with a bias for action and execution.

Ability to convince technical leaders and executives.

Strong written and verbal communication skills, including direct collaboration with enterprise customers and cross org teams.

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field

Preferred Qualifications
Experience building AI assistants or conversational agents for enterprise applications.

Experience working with multi-agent systems, reinforcement learning, or autonomous decision-making frameworks.

Familiarity with LLM fine-tuning, RAG (Retrieval-Augmented Generation), or Vector Database integration.

Background in cloud operations, DevOps, or infrastructure monitoring domains.

Familiarity with Oracle Cloud Infrastructure or other major cloud platforms.

Contributions to open-source ML projects and/or Publications or patents in ML, NLP, or AI agent systems.

Qualifications
Career Level - IC3

About Us
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and 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- or by calling 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.