Senior Data Scientist/AI Engineer

1 Month ago • 5 Years + • Artificial Intelligence

Job Summary

Job Description

As a Senior AI Engineer, you'll develop advanced AI/ML models for automotive claims management. Collaborating with a team of 30 data scientists, you'll use computer vision, LLMs, and multimodal AI to improve claim automation and efficiency. Responsibilities include developing foundation models, processing complex data, and integrating emerging AI technologies. This role requires expertise in Python, TensorFlow, PyTorch, and experience with LLMs and custom foundation models. You'll contribute to R&D efforts and translate technical concepts into scalable digital solutions.
Must have:
  • 5+ years in data science with ML/DL experience
  • Proficient in Python, TensorFlow, PyTorch
  • Experience with LLMs and computer vision
  • Develop and deploy AI/ML models
  • Strong analytical and communication skills
Good to have:
  • Experience in insurance or automotive industries
  • German language skills
  • Experience with Java, ReactJS, TypeScript
Perks:
  • Flexible working format
  • Competitive salary
  • Personalized career growth
  • Professional development tools
  • Education reimbursement
  • Corporate events

Job Details

The Company (Location: 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 Senior 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.
  • 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
  • TensorFlow, PyTorch, Scikit-learn, OpenCV (for computer vision)
  • Transformers (HuggingFace), LangChain (for LLM-based applications)
  • Custom Foundation Models (insurance-specific)
  • Unit Testing: Jest (frontend), PyTest (backend/data science)
  • E2E Testing: Cypress, Selenium

Requirements: 

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

We offer*:

  • Flexible working format - remote, office-based 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 location-specific benefits

*not applicable for freelancers

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