Senior) MLOps Engineer; m​/f​/d

Continental
is a leading tire manufacturer and industry specialist. Founded in 1871, the company generated sales of €19.7 billion in 2025 and currently employs around 76,000 people in 54 countries and markets.

Tire solutions from the
Tires group sector
make mobility safer, smarter, and more sustainable. Its premium portfolio encompasses car, truck, bus, two-wheel, and specialty tires as well as smart solutions and services for fleets and tire retailers. Continental has been delivering top performance for more than 150 years and is one of the world’s largest tire manufacturers. In fiscal 2025, the Tiresgroup sectorgenerated sales of 13.8 billion euros.

Continental's tire division currently employs around 53,000 people worldwide and has 19 production and 16 development sites.

In Digital Solutions, we drive innovation for connected mobility and deliver cutting-edge digital products to our global fleet customers. As an 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 king 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.

This position is intended to be filled on a full-time basis. However, applications for part-time employment will be considered in accordance with business needs.

• 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

• Academic degree in Computer Science, IT, Engineering, Mathematics, or related field
• Several years of professional experience as a MLOps Engineer
• Strong programming skills in Python and SQL
• Expertise in CI/CD and automation tools (e.g., Git Hub Actions)
• Proficiency in containerization and orchestration (Docker, Kubernetes)
• Hands-on experience with ML model deployment and lifecycle management (MLflow, Sage Maker)
• 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 Dev Ops practices (testing, Git Ops, CI/CD design patterns)
• Experience with Agile project management methods (Scrum, Kanban)
• Proficient English language skills (written and spoken)
• Experience working in an international team (desirable)

Applications from severely handicapped people are welcome.

• Attractive compensation: We reward exceptional qualifications and experience with an above-tariff salary, with the option of an above-tariff salary
• Flexibility that fits your life: Whether mobile working, part-time models, flexible working hours, or sabbaticals – together we find a working model that suits your individual needs.
• Time off that truly matters: Enjoy 30 days of paid vacation per year.
• Secure your future: With our company pension plan, we already invest today in your financial security of tomorrow.
• Career with perspective: We actively support you in shaping your career through individual trainings, access to learning platforms…