Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Platform/MLOps Engineer in United States.
This role sits at the intersection of advanced AI infrastructure and next-generation manufacturing, where software, robotics, and machine learning converge to redefine how modern factories operate. You will help build and scale the core platform that powers AI-driven inspection, computer vision, and deep learning systems used in real-world industrial environments. The work involves designing highly reliable MLOps pipelines that support training, deployment, and inference at scale, including GPU-based workloads running in Kubernetes. This is a high-impact engineering position where your contributions directly influence production systems used by leading global manufacturers. You will collaborate closely with robotics, platform, and AI teams in a deeply technical, fast-paced environment. The role is ideal for engineers who enjoy solving complex distributed systems challenges while working on cutting-edge AI applications. It combines strong software engineering rigor with real-world physical deployment impact.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Platform/MLOps Engineer in United States.
This role sits at the intersection of advanced AI infrastructure and next-generation manufacturing, where software, robotics, and machine learning converge to redefine how modern factories operate. You will help build and scale the core platform that powers AI-driven inspection, computer vision, and deep learning systems used in real-world industrial environments. The work involves designing highly reliable MLOps pipelines that support training, deployment, and inference at scale, including GPU-based workloads running in Kubernetes. This is a high-impact engineering position where your contributions directly influence production systems used by leading global manufacturers. You will collaborate closely with robotics, platform, and AI teams in a deeply technical, fast-paced environment. The role is ideal for engineers who enjoy solving complex distributed systems challenges while working on cutting-edge AI applications. It combines strong software engineering rigor with real-world physical deployment impact.