FEV.io GmbH
Master's Thesis Expert-in-the-Loop AgentOps/LLMOps Pipeline for Systems Engineering Process Agents(m/w/x)
Full-timeWith HomeofficeNot specified
Aachen
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FEFEV.io GmbH
Master Thesis - AI Agent for Test Management Based on Regulatory Frameworks and User Requirements - A Case Study on Battery Testing(m/w/x)
Aachen
Full-timeWith Home Office
AI/ML
Nejo AI Summary
Designing and implementing an LLM-powered AI chat-bot for regulatory test management in battery testing. Solid programming skills and basic ML/AI knowledge with LLMs required. Up to 100% remote work, flexible hours, bridge days.
Requirements
- Solid programming skills (Python preferred, C++/Java a plus)
- Basic ML/AI knowledge, ideally with LLMs, IR, or recommender systems
- Basic understanding of software engineering concepts (APIs, data models, version control, testing) and cloud development (Azure preferred)
- Interest in or basic knowledge of battery systems and testing
- Analytical skills for translating requirements into formal constraints
- Independent work, complex problem structuring, scientific English documentation
- Interest in or basic knowledge of battery systems and testing
- German skill >B1
- Solid programming skills (Python preferred, C++/Java a plus)
- Basic ML/AI knowledge, ideally with LLMs, IR, or recommender systems
- Basic understanding of software engineering concepts (APIs, data models, version control, testing) and cloud development (Azure preferred)
- Interest in or basic knowledge of battery systems and testing
- Analytical skills for translating requirements into formal constraints
- Independent work, complex problem structuring, scientific English documentation
- Interest in or basic knowledge of battery systems and testing
- German skill >B1
Tasks
- Conduct a literature and state-of-the-art review
- Analyze regulatory documents, standards, and user requirements
- Translate requirements into machine-readable rules and constraints
- Design the system architecture for an AI chat-bot
- Implement the AI agent with LLMs
- Integrate interfaces to various data sources
- Develop algorithms and workflows for test recommendation
- Develop algorithms and workflows for automatic scheduling
- Compare AI-based results with a conventional scheduler
- Define quantitative evaluation criteria including utilization and waiting time
- Conduct a battery testing case study
- Assess technical feasibility for desired purposes
- Document results scientifically
- Prepare the Master thesis
- Prepare an internal presentation
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
Tools & Technologies
- Python
- C++
- Java
- Machine Learning / AI
- Large Language Models
- Information Retrieval
- Recommender Systems
- APIs
- Azure
Benefits
More Vacation Days
- Bridge days
Flexible Working
- Up to 100% remote work
- Flexible working hours
- Flex desk
Learning & Development
- FEV Academy
- LinkedIn Learning
Team Events
- Team events
- Parties
- Foosball
Modern Office
- Modern lounges
Ergonomic Workplace
- Electronically adjustable desks
Other Benefits
- Nintendo
Snacks & Drinks
- Coffee and tea
Free or Subsidized Food
- FEV canteen
- Canteen discounts
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of FEV.io GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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FEFEV.io GmbH
Master Thesis - AI Agent for Test Management Based on Regulatory Frameworks and User Requirements - A Case Study on Battery Testing(m/w/x)
Aachen
Full-timeWith Home Office
AI/ML
Nejo AI Summary
Designing and implementing an LLM-powered AI chat-bot for regulatory test management in battery testing. Solid programming skills and basic ML/AI knowledge with LLMs required. Up to 100% remote work, flexible hours, bridge days.
Requirements
- Solid programming skills (Python preferred, C++/Java a plus)
- Basic ML/AI knowledge, ideally with LLMs, IR, or recommender systems
- Basic understanding of software engineering concepts (APIs, data models, version control, testing) and cloud development (Azure preferred)
- Interest in or basic knowledge of battery systems and testing
- Analytical skills for translating requirements into formal constraints
- Independent work, complex problem structuring, scientific English documentation
- Interest in or basic knowledge of battery systems and testing
- German skill >B1
- Solid programming skills (Python preferred, C++/Java a plus)
- Basic ML/AI knowledge, ideally with LLMs, IR, or recommender systems
- Basic understanding of software engineering concepts (APIs, data models, version control, testing) and cloud development (Azure preferred)
- Interest in or basic knowledge of battery systems and testing
- Analytical skills for translating requirements into formal constraints
- Independent work, complex problem structuring, scientific English documentation
- Interest in or basic knowledge of battery systems and testing
- German skill >B1
Tasks
- Conduct a literature and state-of-the-art review
- Analyze regulatory documents, standards, and user requirements
- Translate requirements into machine-readable rules and constraints
- Design the system architecture for an AI chat-bot
- Implement the AI agent with LLMs
- Integrate interfaces to various data sources
- Develop algorithms and workflows for test recommendation
- Develop algorithms and workflows for automatic scheduling
- Compare AI-based results with a conventional scheduler
- Define quantitative evaluation criteria including utilization and waiting time
- Conduct a battery testing case study
- Assess technical feasibility for desired purposes
- Document results scientifically
- Prepare the Master thesis
- Prepare an internal presentation
Education
- Currently in higher educationOR
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
Tools & Technologies
- Python
- C++
- Java
- Machine Learning / AI
- Large Language Models
- Information Retrieval
- Recommender Systems
- APIs
- Azure
Benefits
More Vacation Days
- Bridge days
Flexible Working
- Up to 100% remote work
- Flexible working hours
- Flex desk
Learning & Development
- FEV Academy
- LinkedIn Learning
Team Events
- Team events
- Parties
- Foosball
Modern Office
- Modern lounges
Ergonomic Workplace
- Electronically adjustable desks
Other Benefits
- Nintendo
Snacks & Drinks
- Coffee and tea
Free or Subsidized Food
- FEV canteen
- Canteen discounts
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of FEV.io GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
FEV.io GmbH
Industry
Automotive
Description
Das Unternehmen hat es sich zur Aufgabe gemacht, die Automobilbranche zu revolutionieren und intelligente Mobilität für jedermann Realität werden zu lassen.
Not a perfect match?
- FEV.io GmbH
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Mandatory Internship/Bachelor Thesis/Maser Thesis Advanced RAG for Generative AI-Applications in the Automotive Industry(m/w/x)
Full-timeInternshipWith HomeofficeAachen - FEV Europe GmbH
Mandatory Internship/Bachelor Thesis/Master Thesis Generative AI for Measurement(m/w/x)
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Pflichtpraktikant/Bachelorand/Masterand Generative KI für die Messdatenanalyse(m/w/x)
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