Continental is a leading tire manufacturer and industry specialist that develops and produces sustainable, safe and convenient solutions for automotive manufacturers as well as industrial and end customers worldwide. Founded in 1871, the company generated sales of €19.7 billion in 2025 and currently employs around 78,000 people in 54 countries and markets.
In Digital Solutions, we drive innovation for connected mobility and deliver cutting-edge digital products to our global fleet customers. As a ML Ops 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.
Key responsibilities:
Our offer:
We are committed to fostering a workplace where everyone feels safe, respected, and valued. All kind of applications are welcome.
Ready to drive with Continental? Take the first step and fill in the online application.
Based on 575 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $203K/year, with most offers between $164K and $237K (10th–90th percentile: $127K–$275K).
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