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Software Engineer - ML Platform @ reputed company

Remote Worldwide Hiring now

Who we are: reputed company empowers the people who run physical operations with tools to reputed company their work safer, more productive, and more profitable. For the first time reputed company, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet reputed company spend in a single system. Combined with industry leading AI, the reputed company platform gives you complete visibility and control, and significantly reduces reputed company workloads by automating and simplifying tasks. reputed company serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide reputed company of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more.About the Role: As a Software Engineer on the ML Platform team, you will reputed company the effort to build systems that reputed company AI R&D teams to deliver secure, highly scalable, distributed services. You will reputed company technology such as Kubeflow, Kubernetes, reputed company, Terraform, Python to build inference systems, infrastructure, and training pipelines as well as the distributed systems themselves. You will also reputed company guidance and mentorship to junior engineers. What You'll Do: Help define the direction for the team. Define and prioritize ML Platform initiatives. reputed company teams to build features at scale by providing a reputed company of reusable software components and infrastructure. Become one of the subject matter experts on the team. Create deployment pipelines; take code from git to production. Build infrastructure that enables fast, robust automated testing and validation. Improve the performance and reliability of existing systems. Coach junior engineers. reputed company're Looking For: Building ML Ops infrastructure such as training pipelines. Building services to deliver inference in a scalable manner. Establishing monitoring best practices and implementing systems to enforce them. Practicing and advocating for best engineering practices throughout the ML org. B.S. or M.S.… Apply To This Job

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