Senior Data Science / AI Engineer (with Databricks) (#3576)

Work type : Office / Remote Technical Level : Senior Job Category : Software Development

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 2,000 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.

Short Role Description : We are seeking a Senior Data Scientist / AI Engineer with expertise in Databricks to enhance our capabilities in developing advanced AI solutions for automotive claims management. You will leverage your analytical and machine learning skills to innovate and improve data-driven processes, working closely with data engineers and solution architects in a collaborative, international environment.

Key Responsibilities :

• Develop and implement advanced machine learning and AI models using Databricks.
• Collaborate with data engineering and solution architecture teams to define and refine data processing pipelines.
• Analyze complex datasets (structured, PDFs, images) to extract meaningful insights and predictive capabilities.
• Build and maintain vector databases, leveraging embeddings and AI model integrations.
• Actively participate in AI governance, ensuring best practices in model development, validation, and deployment.
• Document methodologies, experiments, and model architectures for reproducibility and knowledge sharing.
• Continuously evaluate emerging technologies and methodologies in AI to enhance capabilities.
• Present findings clearly and persuasively to technical and non-technical stakeholders.

What We Expect from You (Requirements) :

Nice to have :

We offer