4 jobs found in Stuttgart

Holman is a global leader in the automotive industry, serving both business and private customers. "The Holman Way" means that since 1924, we have consistently done what is right for our employees, our customers, and the community. Holman's story began nearly a century ago with a single Ford dealership in New Jersey. Today, headquartered in Mount Laurel, New Jersey, Holman is one of the largest family-owned automotive service companies in North America, with more than 100,000 employees in North America, the UK, and Germany. Our German team of approximately 300 people, based in Stuttgart and Eschborn, works together to develop tailored solutions for numerous customers. Holman offers a unique range of automotive-related services, including industry-leading fleet management and leasing, vehicle manufacturing and conversion, component manufacturing and productivity solutions, powertrain sales and logistics services, commercial and personal insurance and risk management, and...

This technology company develops highly specialized sensor systems for industrial applications worldwide. The combination of hardware expertise, data analysis, and artificial intelligence makes its solutions unique. Research, development, and practical application go hand in hand here. Innovation arises from deep technical understanding and the courage to pursue new approaches. The environment is international, dynamic, and technologically demanding. Your tasks Development and optimization of machine learning models for sensor data Analysis of large datasets and feature engineering Collaboration with hardware and software teams Validation, testing and deployment of ML models Documentation and continuous improvement of existing algorithms Your profile Studies in computer science, data science, mathematics or a comparable field Excellent knowledge of Python and common ML frameworks Experience with signal processing and...

Your tasks Provision and further development of the tooling infrastructure: Creation of a unified tooling landscape to support developers, to enable efficient work and to reduce technical hurdles. Cross-departmental DevOps collaboration and establishment of best practices: Promoting the DevOps mindset, implementing best practices, and ensuring smooth collaboration and continuous improvement. Design, operation and automation of the CI/CD infrastructure: Setup, maintenance and further development of CI/CD pipelines including build servers and artifact store to ensure stable and automated software deployment processes. Management, expansion and scaling of the cloud infrastructure: Ensuring scalability, security and efficiency to support growing professional and technical requirements. Your profile Solid system knowledge and technology experience: experience with Linux, Docker and cloud platforms such as GCP or AWS; knowledge of...