Senior Platform EngineerBuild and operate the platforms that make AI and machine learning work at scaleWe''re looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery.This is a hands-on senior platform role, focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production.While you''ll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role. Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale.What you''ll be doingYou''ll be responsible for building a production-grade AI / ML platform, not just running clusters.You will:Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teamsExtend Kubernetes with MLOps-specific capabilities, rather than treating it as a finished productProvideplatform-level support for:Model development and experimentationModel packaging, deployment, and promotionScalable inference and LLM-based workloadsBuild shared platform services that enable consistent, repeatable model deployment, even where day-to-day deployment is owned by MLOps or ML engineersWork closely with data scientists ..... full job details .....