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(Junior) Ml Ops Engineer
3 meses atrás
Legal Entity: Continental Solution Center Portugal, Unipessoal, LDA. (0581)
Referral Bonus: Yes
Working Time: Full Time
Job Flexibility: Hybrid Job
Company Description Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2023, Continentalgenerated sales of €41.4 billion and currently employs around 200,000 people in 56 countries and markets.
Job Description At Continental Tires we want to make analytical excellence integral part of all processes which can provide impact on leveraging business value. As Tire IT in cooperation with our domain expert from the Business units we identify business problems which can be supported and solved by using Advanced Analytics and Artificial Intelligence methods. Only with data insights we will be able to adapt to changes and mitigate risks in constantly changing economy.
As 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. You will work closely together with our Lead ML Ops, in Hanover.
If you'd love to join a global team that works on the latest technologies and creates value-added solutions for customers, Continental is the perfect match for you.
Your main responsibilities will be:
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.
Qualifications Academic degree in Computer Science, Data Science, or similar studies;
Minimum 2 years of IT or Industry working experience;
Expertise in Data Engineering and Data Management;
Expertise in Cloud Systems and Cloud Architectures (eg., AWS, Azure);
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 (is a plus);
Reliable team player with structured self-organized workstyle;
Very good communication skills;
Experience with Agile methodologies;
Experience in working in a multinational company (is a plus);
Proficient English language skills (written and spoken).
Additional Information Our offer:
Integration in a dynamic international work environment and team;
A wide range of application domains for ML & AI;
Agile and collaborative workstyle;
Continuous professional training and excellent possibilities of personal and professional development.
Ready to drive with Continental? Take the first step and fill in the online application.
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