Job Description

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

• 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.

Qualifications

• Academic degree in Science, Engineering, Mathematics or any related field;
• 2+ years of working experience as a ML Ops Engineer;
• Strong programming skills in Python and SQL;
• Practical knowledge in CI/CD and automation tools (e.g., GitHub Actions);
• Proficiency in containerization and orchestration (Docker, Kubernetes);
• Hands-on experience with ML model deployment and lifecycle management (MLflow, SageMaker);
• Good knowledge of cloud platforms (AWS or Azure) and infrastructure-as-code practices;
• Familiarity with monitoring and performance tracking tools (Grafana) and workflow orchestration (Airflow);
• Solid understanding of software engineering and DevOps practices (testing, GitOps, CI/CD design patterns);
• Experience with Agile project management methods (Scrum, Kanban);
• Reliable team player with structured self-organized workstyle;
• Proficient English language skills (written and spoken).

Additional Information

Our offer:

• Integration in a challenging and international work environment;
• Flexible working model;
• Agile and collaborative working style;
• Continuous opportunities for personal development and learning.

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.