Middle Data Science/AI Engineer
Middle Data Science/AI Engineer
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Job Description
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 1000 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 inhouse 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 highperformance software solutions that integrate datadriven 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 insurancerelated processes. You will leverage stateoftheart 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 forwardthinking international environment where datadriven innovation meets realworld impact.
Key Responsibilities
- Collaborate within a crossfunctional team of 30 data scientists and AI/ML experts to drive research and innovation in the image processing & recognition field
- Develop and deploy cuttingedge 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 companys 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 Scikitlearn OpenCV (for computer vision)
- Transformers (HuggingFace) LangChain (for LLMbased applications)
- Custom Foundation Models (insurancespecific)
Testing
- Unit Testing: Jest (frontend) PyTest (backend/data science)
- E2E Testing: Cypress Selenium
Testing Methodology: TestDriven Development (TDD)
CI/CD & Version Control: Git GitLab CI/CD Pipelines
Data Storage & Management: SQL Server AWS S3 MongoDB
Cloud & Infrastructure: onpremise infrastructure strategic migration to AWS
Collaboration & Communication:
Agile ceremonies (daily standups 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 nontechnical stakeholders.
- Bonus: Experience within the insurance or automotive industries.
- Language: Excellent English communication skills (written and verbal); German is a plus.
We offer*:
- Flexible working format remote officebased or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program tech talks and trainings centers of excellence and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other locationspecific benefits
*not applicable for freelancers
Employment Type
Full Time
