Machine Learning Engineer (m/f/d)
Machine Learning Engineer (m/f/d)
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
SIXT is a global market leader in the mobility space and sets the pace for innovation like nobody else. We are transforming the industry to become fully digitalized and offer our customers an answer to all mobility needs they have. Our vision is: Transform the world moves because people expect better. Join our Data Science team and make the magic happen. We drive business processes like pricing and many more with the use of sophisticated algorithms. For this purpose we design develop and maintain state of the art machine learning models and manifold optimization solvers as well as simulation models. As a member of this team your work will improve the experience of millions of our customers and have a direct impact on our business results. Apply now and join our journey and become a part of the SIXT family.
YOUR ROLE AT SIXT
- Develop further and maintain a solid infrastructure within the Data Science team with a focus on DevOps processes and cloud technologies.
- Establish and extend tools to automate our Data Science Tech Stack to continuously enhance MLOps processes including model deployment and data pipelines.
- Ensure a reliable and scalable deployment foundation for our Data Science ML models and algorithms and work closely with other departments like cloud infrastructure.
- Collaborate effectively with stakeholders from other departments to achieve our business goals.
- Build and maintain infrastructure as code (IaC) using tools like Terraform to manage cloud resources.
- Make data science experiments production-ready monitored robust and scalable
YOUR SKILLS MATTER
- Strong knowledge cloud technologies ideally in AWS
- Solid coding skills in Python and experience with continuous integration/continuous deployment approaches.
- Experience with infrastructure as code (IaC) ideally Terraform is a strong plus
- Familiarity with containerization technologies such as Docker and ideally container orchestration systems such as Kubernetes.
- Ideally knowledge in operational deployment of machine learning applications
- Ideally knowledge of data engineering including data modeling database systems and ETL processes.
- Ideally experience with monitoring and logging tools to detect and diagnose issues in machine learning models and the infrastructure supporting them.
- Excellent communication and collaboration skills with fluency in English and an appreciation for cultural diversity.
WHAT WE OFFER
- Generous Time Off Enjoy 28 days of vacation an additional day off for your birthday and 1 volunteer day per year
- Work-Life Balance & Flexibility Benefit from a hybrid working model flexible working hours and no dress code
- Great Employee Benefits Access discounts on SIXT rent share ride and SIXT along with partner discounts
- Training & Development Participate in training programs external conferences and internal dev & tech talks designed for your personal growth and development
- Health & Well-being Private health insurance to support your well-being
- Additional Perks Enjoy the Coverflex advantage system to enhance your employee experience
Additional Information :
About us:
We are a globally leading mobility service provider with a revenue of 4.00 billion and around 9000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental) SIXT share (car sharing) SIXT ride (taxi ride and chauffeur services) and SIXT (car subscription) giving our customers access to our fleet of 350000 vehicles the services of 4000 cooperation partners and around 5 million drivers worldwide. Together with our franchise partners we are present in more than 110 countries at 2000 rental stations. At SIXT top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
