Senior ML Ops Architect / Engineer (gn)

With ControlExpert, a solvd Group company based in Munich, you are at the forefront when it comes to innovation in automotive damage management. Since our foundation in 2002, we have handled over 18 million vehicle damage annually - with more than 1,000 employees worldwide. Our mission is to automate the process with the help of state-of-the-art digital and AI-based tools, creating a leading global platform for insurers. This platform serves as a central point of contact to ensure a seamless and smooth customer experience. As a digitalization expert, we combine AI-based processes and the latest technologies with the knowledge of our automotive experts. Together with our company's own research and development department, we work to realize our version: Drivers around the world will get their damage fairly replaced on the same day. Would you like to help shape the future of technology? Then become part of ControlExpert, a solvd Group company! Location: Langenfeld

Design and optimise the entire machine learning lifecycle in our engineering or Architecture team ensure seamless integration and efficient implementation of ML processes from data preparation to monitoring of models in productive operation Develop automated ML pipelines using leading technologies such as Kubernetes, Docker, SageMaker and MLflow, DataBricks Support the implementation of the processes and tools for quality assurance and efficiency enhancement of the ML models by CI/CD, including automated testing and monitoring Work with our Data Scientists and DevOps engineers to optimize data preparation, feature engineering and model development and seamlessly integrate it into the production environment Design systems for performance monitoring and troubleshooting in production-ML models to ensure maximum reliability and performance

Qualification: Complete university studies in computer science, engineering, mathematics, physics or a comparable field Expertise & know-how: At least 5 years of experience in a similar role focusing on machine learning operations, AI-Architect, DevOps for ML systems or data engineering, and preferably deep knowledge in snowflake or databricks Personality & Working: Proven ability to work in interdisciplinary teams, strong communicative ability and the ability to clearly convey complex technical content IT knowledge: Comprehensive knowledge of modern ML technologies and frameworks as well as experience with DevOps practices, including automation, container technologies, cloud and orchestration Language: flowing German and English skills

You want our Benefits at a glance? Click here! a strong onboarding ensures your perfect start Work-Life Balance: Flexible working time design with home office share of ~60% Personal development: large open spaces and many design possibilities Occupational pensions and benefits Bike leasing with JobRad many employee events (sport events, afterwork, digi talks, celebrations, etc.) for a delicious lunch at the fair price our own kitchen Corporate Benefits: Attractive discounts and vouchers JOBV1_EN