Senior ML Ops Engineer (Machine Learning Infrastructure)

Parallel Systems is looking for an experienced MLOps/ML Infrastructure Engineer to lead the design and development of scalable systems that support autonomous battery‑electric rail vehicle perception and autonomy pipelines. The role involves owning the end‑to‑end ML infrastructure stack, building cloud‑based platforms, and collaborating with robotics and software engineers to enable reliable model training, deployment, and monitoring in both R&D and production environments.