As a Machine Learning Engineer on the Generative AI Services team, you will lead the architecture, design and development of distributed, scalable, and high-performance systems for AI model training, fine-tuning, and inference. Working closely with partner teams, applied scientists and software engineers, you will build and optimize next-generation AI infrastructure that powers large-scale generative AI workloads. In this role, you will lead analyzing model architectures to improve performance, efficiency, and scalability, while leveraging cutting-edge technologies to develop state-of-the-art AI systems and onboard frontier models. You will also benchmark, diagnose, troubleshoot, and resolve issues across the AI model lifecycle, including training, fine-tuning, and serving, ensuring reliable and efficient production deployments. You will contribute to open source frameworks such as vLLM, and SGLang and strengthen the position of OCI.