Description
Gridware is hiring a Senior ML Infrastructure Engineer to work with its Automation, ML, Operations, and Analytics teams on production model deployment and monitoring infrastructure. The role involves building scalable deployment tooling, observability systems, testing frameworks, simulation environments, and CI/CD pipelines, while collaborating with Data Engineering and Platform Engineering. Candidates need at least five years of production ML infrastructure experience, strong Python software engineering skills, AWS and Kubernetes experience, and familiarity with feature stores, model registries, or MLFlow. The position does not offer visa sponsorship and lists a base salary of $190,000-$210,000.
