Engineering Manager - Machine Learning

**What you’ll do:** ------------------- Eaton Corporation’s Center for Connected Intelligent Solutions has an opening for an Engineering Manager who is passionate about their craft. The Engineering Manager will be responsible to lead our MLOps ML QA and DevOps team in designing, implementing, and optimizing machine learning operational processes and infrastructure. The candidate shall possess a strong background in machine learning, software engineering, and team leadership to drive the successful deployment and management of machine learning models in production environments. This position requires expertise in machine learning lifecycle, software engineering, on premise and cloud infrastructure deployments, as well as strong leadership skills. "Job Responsibilities The Manager will be responsible for: * Lead and manage a team of ML Engineers to Validate, develop, deploy, and monitor machine learning models in production. * Collaborate with cross\-functional teams, including data science, engineering, and operations, to understand business requirements and translate them into scalable ML solutions. * Architect and implement end\-to\-end machine learning pipelines for model trainin...