(Senior) MLOps Engineer (m/f/d) - REF97172N

Join Continental's Digital Solutions Department as an MLOps Engineer.

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 instrumental in transforming machine learning solutions into robust, scalable, and production-ready systems that generate real business value.

You will work at the intersection of Machine Learning, Cloud Engineering, and DevOps, building and operating the platforms, automation, and tooling that enable our Data Science teams to deploy and manage machine learning models efficiently and reliably. If you are passionate about production-grade ML systems, workflow automation, and enabling AI at scale, this is the role for you.

This position offers the opportunity to take ownership of critical MLOps capabilities, collaborate with experienced data professionals, and shape the future of AI-driven solutions within a global organization.

Main responsibilities:

• Design, implement, and maintain CI/CD pipelines for machine learning models, from experimentation to production deployment
• Build, operate, and continuously improve scalable MLOps infrastructure using modern cloud technologies and infrastructure-as-code practices
• Develop and automate end-to-end machine learning workflows, including model training, validation, deployment, monitoring, and retraining
• Manage and optimize the ML model lifecycle using MLflow, ensuring reproducibility, traceability, and operational excellence
• Implement monitoring, observability, and feedback mechanisms to ensure model performance, reliability, and continuous improvement
• Collaborate closely with Data Scientists and Data Engineers to productionize machine learning solutions and establish MLOps best practices
• Drive standardization, automation, and continuous improvement across machine learning development and deployment processes
• Contribute to the evolution of Continental's MLOps platform and engineering standards

• Academic degree in Computer Science, IT, Engineering, Mathematics, or a related field
• Several years of hands-on experience as an MLOps Engineer in an industrial or commercial environment
• Proven experience operating and supporting machine learning solutions in production environments
• Strong hands-on experience with MLflow, including experiment tracking, model registry, deployment, and lifecycle management
• Proven MLOps expertise in deploying scalable solutions on AWS or Azure using Infrastructure as Code (IaC)
• Demonstrated experience designing and implementing workflow automation solutions and ML pipeline orchestration
• Strong programming skills in Python and SQL
• Expertise in CI/CD and automation tools (e.g., GitHub Actions)
• Proficiency in containerization and orchestration technologies (Docker, Kubernetes)
• Experience with workflow orchestration tools such as Airflow and monitoring solutions such as Grafana
• Solid understanding of software engineering and DevOps best practices, including testing, version control, GitOps, and CI/CD design patterns
• Experience working in Agile environments (Scrum, Kanban)
• Proficient English language skills (written and spoken)
• Experience working within international and cross-functional teams is considered a plus

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: This position is generally intended to be filled on a full-time basis. At the same time, we are open to individual part-time arrangements, provided they are compatible with the requirements of the role. With flexible working hours, mobile working, and sabbaticals, we will 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 such as LinkedIn Learning, and a wide range of development opportunities.
• Borderless opportunities: As an EU citizen, you can work remote from other EU countries for up to 40 days per year – offering greater freedom and international flexibility.
• Exclusive employee benefits: Take advantage of attractive discounts and a wide range of employee benefits.
• Stay fit – nationwide: With our comprehensive range of health and wellness initiatives, you stay active – wherever you are in Germany.
• Sustainable mobility: Use our “JobRad” bike leasing program and secure your preferred bicycle at attractive conditions – for more fitness, climate protection, and enjoyment on your daily commute.
• A family-friendly culture: We support you with various offers that help balance work and family life, such as on-site childcare places and free emergency childcare services.
• Support when it matters most: The Fürstenberg Institute provides you with a confidential external point of contact for professional advice and support in both personal and professional matters.
• A work environment that embraces diversity: Look forward to working in a diverse and international environment through collaboration with our global locations.

For more information about the employee benefits you can expect at Continental, please visit our benefits page. If you would like to learn more about our location, feel free to visit our site page: Continental Hannover Stöcken / Hannover Corporate Headquarters.

Diversity, Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.

If this sounds like a perfect match for you and if you want to become the next supporter of our core values: Trust, for one another, passion to win and freedom to act - we are looking forward to receiving your application.

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