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Scientific Innovator – AI-Driven Engineering(m/w/x)
Developing AI-driven engineering prototypes for condition monitoring and lifecycle optimization. Master's or PhD with applied research experience required. Python programming with PyTorch or TensorFlow.
Requirements
- Master’s or PhD in engineering, computational sciences, physics, or related fields
- Applied research or industrial development experience
- Skills in neural networks, GenAI/LLMs & agentic systems, surrogate models, data analytics, simulation (FEM/CFD), MLOps, or platform development
- Strong Python programming skills
- Experience with PyTorch or TensorFlow
- Familiarity with GenAI tooling (e.g., LangChain) is a plus
- Clear communication of complex topics in English/German
- Collaborative working style
Tasks
- Scout emerging technologies in AI, design automation, mechanical engineering, and simulation
- Develop prototypes and PoCs for neural networks, surrogate models, agentic workflows, and LLM-based engineering assistants
- Create AI-driven models for condition monitoring, predictive maintenance, and lifecycle optimization
- Integrate sensor data, simulation results, and engineering domain knowledge
- Formulate hypotheses, train models, validate results, and analyze data
- Transfer research into robust, scalable solutions for engineering and operations
- Collaborate closely with engineering and product development teams in DE/USA
- Document results and contribute to internal knowledge sharing
- Transfer to Wolfratshausen after a three-year program in Weinheim
- Focus on application and scaling of AI-supported engineering solutions in R&D
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- GenAI
- LLMs
- LangChain
- FEM
- CFD
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Scientific Innovator – AI-Driven Engineering(m/w/x)
Developing AI-driven engineering prototypes for condition monitoring and lifecycle optimization. Master's or PhD with applied research experience required. Python programming with PyTorch or TensorFlow.
Requirements
- Master’s or PhD in engineering, computational sciences, physics, or related fields
- Applied research or industrial development experience
- Skills in neural networks, GenAI/LLMs & agentic systems, surrogate models, data analytics, simulation (FEM/CFD), MLOps, or platform development
- Strong Python programming skills
- Experience with PyTorch or TensorFlow
- Familiarity with GenAI tooling (e.g., LangChain) is a plus
- Clear communication of complex topics in English/German
- Collaborative working style
Tasks
- Scout emerging technologies in AI, design automation, mechanical engineering, and simulation
- Develop prototypes and PoCs for neural networks, surrogate models, agentic workflows, and LLM-based engineering assistants
- Create AI-driven models for condition monitoring, predictive maintenance, and lifecycle optimization
- Integrate sensor data, simulation results, and engineering domain knowledge
- Formulate hypotheses, train models, validate results, and analyze data
- Transfer research into robust, scalable solutions for engineering and operations
- Collaborate closely with engineering and product development teams in DE/USA
- Document results and contribute to internal knowledge sharing
- Transfer to Wolfratshausen after a three-year program in Weinheim
- Focus on application and scaling of AI-supported engineering solutions in R&D
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- GenAI
- LLMs
- LangChain
- FEM
- CFD
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
EagleBurgmann Germany GmbH & Co. KG
Industry
Engineering
Description
The company focuses on providing high-quality industrial mechanic training and fostering technical skills and teamwork.
Not a perfect match?
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