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. Additionally, you may perform other related responsibilities as needed. You will lead a team of senior and junior members and guide them to deliver the roadmap on time with high quality.
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. Additionally, you may perform other related responsibilities as needed. You will lead a team of senior and junior members and guide them to deliver the roadmap on time with high quality.
