Data / ML Engineer
Data / ML Engineer
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Job Description
Continentals digital capabilities are growing every day. Our Information Technology Research and Development team is on the cutting edge of all things digitalization and we want you to join us!
Are you a Data Enthusiast who thrives on mastering technical challenges and pushing the boundaries of whats possible At Continental RnD IT were a team of dedicated professionals who are deeply passionate about our work. We believe in creating innovative solutions while maintaining a collaborative and enjoyable work environment.
Our IT R&D organization constantly establishes new technology to help R&D Tires design and develop the best-performing and most sustainable tires on the market. Naturally we work in close partnership with the Tire Research and Development team to ensure the solutions we build help the Tire team be the most efficient and effective it can be.
If you love to learn grow and be on the forefront of creating modern technology tools Continental is the perfect match for you.
You will be part of a versatile team of data and analytics specialists that provides IT solutions to ensure and accelerate Continentals internal digitalization. Contribute to our goals for reliable data solutions based on excellent data integrity availability and quality through your support with operating and maintaining our modern cloud-based data analytics landscape.
In this exciting job you will work on the following tasks:
- Design develop and maintain scalable data processing flows
- Support the development of new predictive models establish automated AI/ML pipelines and streamline the model lifecycle from training and validation to deployment
- Industrialize further develop and operate data and machine learning solutions to integrate them into Tire R&D processes and services
- Collaborate closely with Tire R&D experts and data scientists to understand business challenges and translate them into technical requirements
Your Profile
- Academic degree in computer science engineering data science or related studies
- Advanced knowledge of data warehouses data-driven use cases and applications
- Proficiency in Python and SQL with advanced skills in database technologies
- Familiarity with relevant machine learning libraries (e.g. TensorFlow PyTorch scikit-learn)
- Hands-on experience with ETL processes or tools (e.g. Matillion KNIME Talend)
- Experience with DevOps principles Agile methodologies and the software development lifecycle
- Professional working proficiency in English (written and spoken)
- Excellent problem-solving and critical thinking skills
- Willingness to work independently
- Solution-oriented thinking
Qualifications :
- Academic degree in computer science engineering data science or related studies
- Several years of work experience in the field
- Proven experience in the end-to-end lifecycle management of machine learning models encompassing development testing deployment and monitoring
- Proficiency in Python and SQL R is a plus
- Familiar with relevant machine learning libraries (e.g. TensorFlow Pytorch scikit-learn pandas)
- Experience with DevOps principles agile methodologies and software development lifecycle
- Experiences with MLOps tools and frameworks are a plus
- Experiences with AWS or Azure infrastructure-as-code and automation solutions are a plus
- Professional working proficiency in English (written and spoken)
- Excellent problem-solving and critical thinking skills
- Willingness to work independently
- Solution-oriented thinking
Applications from severely handicapped people are welcome.
Additional Information :
Initial salary depends on experience and skills of the candidate:
Experienced candidate: TT11: 2 719 variable part
Fresh graduate: TT10: 2 450 variable part
Salary increase within the knowledge and experience gained to more than 3 000 / monthly average.
Ready to drive with Continental Take the first step and fill in the online application.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
