Lead MLOps Engineer for Autonomous Rail AI

Parallel Systems is seeking an experienced MLOps/ML Infrastructure Engineer to lead the design and development of scalable systems powering autonomy and perception pipelines for autonomous, battery-electric rail vehicles. You will own ML infrastructure from training to deployment, enabling rapid, reliable model iteration in both R&D and production environments, with a hybrid onsite requirement in Los Angeles.