(Senior) ML Ops Engineer

Join Continental’s Digital Solutions Department as a MLOps Engineer

In Digital Solutions, we drive innovation for connected mobility and deliver cutting-edge digital products to our global fleet customers. As a MLOps Engineer, you will be at the forefront of transforming machine learning into scalable, production-ready solutions.

You will design, deploy, and maintain robust ML pipelines, ensuring seamless integration of models into production environments and optimizing their performance at scale. Working closely with Data Scientists, Data Engineers, and cross-functional teams, you will enable AI-driven insights that power smarter, safer, and more efficient mobility worldwide.

Main responsibilities:

• Design and manage CI/CD pipelines for ML models from development to production;
• Build and maintain scalable ML infrastructure on cloud platforms using infrastructure-as-code;
• Automate deployment, monitoring, and rollback processes for reliability and reproducibility;
• Implement monitoring and feedback loops for model performance and continuous improvement;
• Collaborate with data scientists and engineers to integrate ML models and standardize workflows;
• Provide technical leadership and mentorship, fostering knowledge sharing and best practices.