AI /ML Solutions Engineer
About the role
A Snapshot of Your Day The Grid Technologies Switch Gear (GT SG) business unit located in Richland, MS. is seeking an experienced, self-driven AI /ML Solutions Engineer. As a member of the Operations team the AI Solutions Engineer is responsible for designing, building, and implementing AI- and data-driven solutions across the factory, office, and wider operations. The role works closely with Operations, Digitalization, and external partners to turn real business problems into practical AI use cases, develop prototypes, and industrialize successful solutions into daily operations. A key part of the role is to review and leverage existing Siemens Energy solutions and platforms before developing new ones.
Grid Technologies Our Grid Technology division enables a reliable, sustainable, and digital grid. The power grid is the backbone of the energy transition. Siemens Energy offers a leading portfolio and solutions in HVDC transmission, grid stabilization and storage, high voltage switchgears and transformers, and digital grid technology.
Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Responsibilities
- Work with production and office teams to identify opportunities for AI and advanced analytics (e.g. planning optimization, document automation, quality inspection).
- Analyze processes and data availability to assess feasibility and expected impact of potential use cases.
- Review existing Siemens Energy digital