AI /ML Solutions Engineer

Siemens Energy

USonsitePosted Jun 17, 2026

Skills

tableaupandaspythonnumpyml

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.

How You’ll Make An Impact

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/AI solutions, platforms, and reference use cases and evaluate their applicability before developing new solutions.

Contribute to the AI initiative pipeline and support building simple business cases (effort vs. benefit).

Translate business requirements into technical specifications for AI/analytics solutions.

Collaborate with IT/ Digitalization and engineering teams to integrate AI solutions into production and office environments, existing applications, or dashboards.

Work with external partners (e.g. software vendors, startups, universities, consulting partners) to evaluate, pilot, and integrate external AI solutions where they add value.

Work closely with end users to understand requirements, validate prototypes, and refine solutions.

Prepare and deliver trainings or user guides to help colleagues use AI tools and dashboards effectively.

What You Bring

Bachelor’s or Master’s degree in Data Science, Computer Science, Industrial Engineering, Applied Mathematics, or related field.

Approximately 3–5+ years of experience in data analytics, AI/ML, or digitalization, ideally with exposure to manufacturing or operations.

Hands-on experience with:

Programming: Python (pandas, NumPy, etc.) , SQL and VB.NET

Data visualization / dashboarding tools (e.g. Power BI, Tableau, or similar)

Proven experience delivering AI/analytics solutions from concept or prototype to production or regular business use.

Solid understanding of manufacturing or operations processes (e.g. production, logistics, planning) and related data preferred.

Strong written and oral communication skills.

Ability to work collaboratively in a team environment.

About The Team

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.

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Rewards

Career growth and development opportunities; supportive work culture

Company paid Health and wellness benefits

Paid Time Off and paid holidays

401K savings plan with company match

Family building benefits

Parental leave

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