AI Integration Engineer | AI-Integration Engineer (w/m/d)
Amprion GmbH
Job Summary
As an AI Integration Engineer at Amprion, you will play a pivotal role in transitioning AI solutions from MVP and delivery phases into stable, productive operations. Your day-to-day responsibilities involve defining infrastructure standards for deployment, integration, and operation, effectively bridging the gap between ML Engineers, Data Scientists, and Business IT clusters. You will be responsible for the entire model lifecycle management, including release processes, drift detection, and performance optimization. A key part of this role is ensuring that monitoring and lifecycle management are integrated from the start, adhering to EU AI Act requirements. This position is particularly attractive for professionals looking to shape the technical and organizational framework of AI in a critical infrastructure environment, offering a 38-hour work week, flexible working conditions, and a clear path for professional development within the energy sector.
Required Skills
Education
University degree in Computer Science, Business Informatics, Engineering, or a comparable qualification in Software, Data, or Cloud/AI Engineering.
Experience
- 3-5 years of professional experience in technical integration, operation, or architecture of data-driven or AI solutions
- Professional experience in complex corporate IT landscapes
- Practical experience in building and operating CI/CD pipelines and MLOps environments
- Experience collaborating with Data Scientists, ML Engineers, and IT operations teams
Languages
Additional
- Knowledge of EU AI Act requirements; experience with GPU utilization and batch/streaming processing; ability to work independently in a structured manner.
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