Description
Continental is hiring a MLOps Engineer for its Digital Solutions Department to design, deploy, and maintain scalable machine-learning pipelines and infrastructure. The role covers CI/CD, cloud-based infrastructure-as-code, automated deployment and monitoring, model performance feedback, collaboration with data scientists and engineers, and technical leadership. Candidates need a relevant academic degree, more than three years of MLOps experience, strong Python and SQL skills, and expertise with CI/CD, containerization, cloud platforms, ML deployment tools, monitoring, and DevOps practices. The position offers a flexible working model and opportunities for development and learning.
