Jobs at Uplift People Consulting

We’re working with a Silicon Valley–origin AI company focused on taking AI out of notebooks and into production.This role sits at the intersection of machine learning, infrastructure, and reliability.The team is responsible for making sure AI systems are deployable, observable, scalable, and cost-efficient across cloud and hybrid environments.If you enjoy turning models into real, reliable systems, this role is built for that.What you’ll doDeploy and operate ML models in production environmentsBuild and maintain CI/CD pipelines for ML workloadsManage model serving, monitoring, logging, and alertingWork with backend and platform teams to productionize AI systemsImprove reliability, performance, and cost efficiency of AI deploymentsWhat we’re looking forExperience as an MLOps Engineer, ML Engineer, or Platform EngineerStrong understanding of Kubernetes, containers, and cloud infrastructureExperience with model deployment, serving, and monitoringFamiliarity with CI/CD, infrastructure-as-code, and automationComfortable owning production systems end-to-endNice to haveExperience with on-prem or hybrid AI deploymentsFamiliarity with model optimization, inference performance, or GPU workloadsExperience working with large-scale AI or data platforms Show more Show less