Teams at Saviynt

The AI Platform Engineer will own distributed training and inference operations using Ray on GPUs, manage the lifecycle of machine learning models, optimize performance, and integrate reinforcement learning. Key responsibilities include overseeing the Ray ecosystem, configuring training and inference systems, and ensuring quality and performance metrics are met throughout the model lifecycle.

Lead the design, development, and implementation of AI security products. Collaborate across teams, drive engineering processes, and maintain existing services. Influence product direction and act as a technical expert.

The Principal Software Engineer will design, implement, and lead AI security product development, focusing on scalable software solutions across cloud platforms and driving engineering best practices.