SMTS - ML Engineer

At Oracle Cloud Infrastructure (OCI) were reimagining how enterprise cloud operations workand 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 were automating incident detection diagnosis and resolutionpushing the boundaries of AI and GenAI in cloud operations.

As a Senior ML Engineer youll design and build intelligent AI solutions that proactively manage cloud environments enhance operational excellence and deliver world-class customer experiences.

If youre passionate about solving complex technical challenges and shaping the future of the autonomous cloud this is your moment.

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 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.

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

Bachelors or Masters 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.

Why Join Us

Be at the forefront of designing AI Agents and the infrastructure that powers them.

Shape the future of AI-powered cloud operations at Oracle.

Work with cutting-edge AI technologies and solve impactful real-world problems.

Collaborate with a world-class team of engineers researchers and product leaders.

Competitive compensation benefits and career growth opportunities.

Career Level - IC3