Middle Data Science/AI Engineer

The Company (Location: Langenfeld, Germany):

Since 2002, the client has been a market leader in automotive claims management, processing over 18 million vehicle claims annually with a global team of more than 1,000 employees. Operating in over 30 countries, the company specializes in digital solutions that optimize vehicle damage processing for insurance companies, car dealerships, repair shops, leasing firms, and automotive manufacturers. By leveraging automation, advanced technologies, and industry expertise, the client continuously enhances efficiency and accuracy in claims handling. An in-house research and development team drives innovation, tailoring solutions to local market needs while advancing digital transformation in the industry. At the core of this evolution is a strong development team, building scalable, high-performance software solutions that integrate data-driven processes with human expertise to reshape automotive claims management.

Your Role

As a Middle AI Engineer, you will play a key role in shaping the future of digital automotive claims management by developing advanced AI and machine learning models. Working within a diverse and collaborative team of 30 data scientists, you will explore innovative research approaches and build intelligent systems that enhance the accuracy and efficiency of insurance-related processes. You will leverage state-of-the-art techniques in computer vision, large language models (LLMs), and multimodal AI to create impactful solutions tailored to the specific needs of the insurance and automotive industries.

Your responsibilities will include developing foundation models and intelligent systems that are capable of processing complex data inputs, improving claim automation, and supporting digital transformation. This is an opportunity to apply your deep technical expertise in a forward-thinking, international environment where data-driven innovation meets real-world impact.

Key Responsibilities

• Collaborate within a cross-functional team of 30+ data scientists and AI/ML experts to drive research and innovation in the image processing & recognition field
• Develop and deploy cutting-edge machine learning and AI models, including computer vision, LLMs, and multimodal solutions.
• Design and train proprietary foundation models tailored to automotive and insurance industry needs.
• Translate complex technical concepts into scalable digital solutions that enhance claims processing efficiency.
• Continuously evaluate and integrate emerging AI technologies to ensure high performance and accuracy.
• Contribute to the company’s R&D efforts to advance AI innovation and digital transformation.

Tech Stack & Tools

Languages & Frameworks:

• Frontend: ReactJS, TypeScript, JavaScript, Redux, HTML, CSS 
• Backend & Data Science: Python (for data modeling and AI), Java (where applicable for backend services)
• Experience with Docker

Machine Learning / AI

• TensorFlow, PyTorch, Scikit-learn, OpenCV (for computer vision)
• Transformers (HuggingFace), LangChain (for LLM-based applications)
• Custom Foundation Models (insurance-specific)

Testing

• Unit Testing: Jest (frontend), PyTest (backend/data science)
• E2E Testing: Cypress, Selenium
  
  

Testing Methodology: Test-Driven Development (TDD)

CI/CD & Version Control: Git, GitLab CI/CD Pipelines

Data Storage & Management: SQL Server, AWS S3, MongoDB

Cloud & Infrastructure:  on-premise infrastructure, strategic migration to AWS

Collaboration & Communication:

Agile ceremonies (daily stand-ups, retrospectives, sprint planning), Code Reviews, Open Source contributions

What We Expect from You

• Qualifications: Degree in mathematics, computer science, data science, engineering, physics, or a related field.
  
  
• Experience: 3+ years in data science with proven experience in ML, DL, and data analysis using Python.
  
  
• Expertise: Proficient in applying data science methods, building predictive models, and deploying AI solutions.
  
  
• Working Style: Strong analytical mindset, proactive attitude, and ability to communicate complex topics clearly to both technical and non-technical stakeholders.
  
  
• Bonus: Experience within the insurance or automotive industries.
  
  
• Language: Excellent English communication skills (written and verbal); German is a plus.