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Working student (f/m/d) - ai & data engineering support

Erlangen
Studentenjob
Siemens Energy
Aushilfe
Inserat online seit: 13 März
Beschreibung

Working student (f/m/d) - AI & Data Engineering Support

About the Role

Location Germany Bayern Erlangen Remote vs. Office Hybrid (Remote/Office) Company Siemens Energy Global GmbH & Co. KG Organization Gas Services Business Unit Service Europe & Africa Full / Part time Part-time Experience Level Student (Not Yet Graduated)

Location: ERL S SP 15Mode of Employment: Part-time / Fixed TermA Snapshot of Your Day In the AI & Data Engineering Support role, you will assist the AI engineering team in developing, testing, and maintaining AI‑driven tools for data monitoring, documentation access, and operational insights. You will contribute to AI prototypes, data quality checks, and knowledge‑retrieval solutions that improve access to technical and operational information. Guided by senior engineers, you’ll support experiments, tooling, and automation while gaining hands‑on experience with applied AI, data engineering, and enterprise data environments in industrial and energy operations, including power plant settings.How You’ll Make an Impact
1. Assist in developing and testing AI-based tools and prototypes using LLMs and Python
2. Support prompt development, evaluation, and improvement for AI-assisted knowledge retrieval and summarization
3. Help implement simple automation scripts for data analysis and pipeline monitoring
4. Support development and testing of AI agents or AI-supported workflows under supervision
5. Assist in evaluating AI outputs and documenting performance, limitations, and potential improvements
What You Bring
6. Analytical and structured problem-solving mind set
7. Curiosity for new technologies and AI developments
8. Ability to learn quickly and work independently on clearly defined tasks
9. Initial experience through coursework, university projects, internships, or personal projects
10. Experience with Git or collaborative development environments is beneficial
11. Interest in how AI and data analytics can support engineering and industrial operations

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