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Forward Deployed Engineer – AI
IBM
Detroit, MI
Strong Python and SQL skills, with hands-on experience building GenAI and agentic AI applications, including LLMs, RAG, and multi-step workflows using tools such as LangChain, LangGraph, or…
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Senior Forward Deployed Engineer – AI
IBM
Detroit, MI
Strong Python and SQL skills, with hands-on experience building GenAI and agentic AI applications, including LLMs, RAG, and multi-step workflows using tools such as LangChain, LangGraph, or…
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AI Platform Engineer
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2+ years of experience with Python and/or Java.
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…segmentation applied to real-world sensor data. - Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow). - Proven ability to develop…
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Dearborn, MI
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1+ year of experience developing Python-based data pipelines and leveraging AI development tools to automate workflows, support agentic AI capabilities, and improve engineering productivity.
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Postdoctoral Scholar-Fixed Term
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Midland, MI · Grand Rapids, MI
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Experience with application development and testing using one or more programming or scripting languages (e.g., .Net, C#, Python)
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Experience in programming languages such as C, C++, Java, Swift, or Kotlin, and scripting languages such as Python, Javascript, or Hack
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Closed listing

Siemens Energy

AI /ML Solutions Engineer

Atlanta, GA, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: Approximately 3–5+ years of experience in data analytics, AI/ML, or digitalization, ideally with exposure to manufacturing or operations.
Posting language: English
Posted: Oct 2, 2026

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Original job description

Archived listing. The details below describe a past opening.

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 C#.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

https://jobs.siemens-energy.com/jobs

Equal Employment Opportunity Statement

Siemens Energy is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local

law.

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Skills

ML
Design prototypes
Inspection
Computer science
Industrial engineering
Data analysis
Python
pandas
NumPy
SQL
Data visualization
Microsoft Power BI
Tableau
Logistics
Communication skills

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