Machine Learning Ops

Website Continental


We are one of the world’s leading suppliers to the automotive industry, developing solutions to realize people’s dreams of day-to-day mobility. Driver safety, sustainability and industrialization of the technology of the future are just some of our areas of activity where we already make a significant difference in people’s daily lives. What moves us is to know that our technology helps to make the world a better and safer place.

At Continental Tires we want to make analytical excellence an integral part of all processes that have impact on leveraging business value. In cooperation with our domain experts from the Business Units we identify business problems which can be supported and solved by using methods from Advanced Analytics and Artificial Intelligence. Only with data insights we will be able to adapt to changes and mitigate risks in a constantly changing economy.



As a Machine Learning (ML) Ops, you will work in a global team of Data Scientists delivering their methods and processing know-how to diverse areas all over the tire business. Our new Data Science Hub in Portugal will be integral part of this team, working closely together with our Lead ML Ops in Hanover.

The following responsibilities are:

  • Operate the analytical environment for Continental Tires;
  • Support data driven projects to realize Data Science use cases in the analytical environment;
  • Understand the data landscape of Continental tires;
  • Optimize and improve the processes for Data Science projects and products;
  • Support Data Science projects with Data Engineering.



  • University degree in Computer Sciences, Data Science or similar studies;
  • Expertise in Data Engineering and Data Management;
  • Expertise in cloud systems and cloud architectures;
  • Good knowledge of Continuous Integration and Continuous Deployment (CI/CD) processes;
  • Good knowledge of Kubernetes, Docker Container and similar architectures;
  • Strong capability to extract data from diverse sources like common RDB, Streaming, APIs or SAP systems;
  • Good knowledge of data intensive IT architectures;
  • Knowledge of methods from Machine Learning, Artificial Intelligence (can be a plus);
  • Reliable team player with structured self-organized workstyle;
  • Good communication skills;
  • Strong English language skills (written and spoken);
  • Minimum 2 years of IT or Industry working experience;
  • Experience in a multinational company (is a plus).



  • Integration in a challenging and international work environment, featured by the existence of state-of-the-art technologies;
  • An attractive remuneration package and benefits;
  • Continuous professional training and excellent possibilities of personal and professional development.



If you meet the requirements send your application at:




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