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Workster is partnering with a global leader in the mobility space, transforming the industry with cutting-edge innovations and a fully digitalized approach. Join their Data Science team and help drive business processes like pricing with sophisticated algorithms. Make a direct impact on millions of customers and the company’s business results.
Your Role
* Develop and maintain a solid infrastructure within the Data Science team, focusing on DevOps processes and cloud technologies.
* Establish and extend tools to automate the Data Science Tech Stack to continuously improve MLOps processes, including model deployment and data pipelines.
* Ensure a reliable and scalable deployment foundation for Data Science machine learning models and algorithms, collaborating closely with other departments like cloud infrastructure.
* Work with stakeholders across departments to achieve business goals and enhance the overall performance of the company’s systems.
* Build and maintain infrastructure as code (IaC) using tools like Terraform to manage cloud resources.
* Make data science experiments production-ready, ensuring they are monitored, robust, and scalable.
Your Qualifications
* Strong knowledge of cloud technologies, ideally in AWS, with 3 years experience in this domain
* Solid coding skills in Python and experience with continuous integration/continuous deployment (CI/CD) approaches.
* Experience with Infrastructure as Code (IaC), ideally Terraform, is a strong plus.
* Familiarity with containerization technologies such as Docker and container orchestration systems like Kubernetes.
* Ideally, knowledge of the operational deployment of machine learning applications.
* Ideally, experience in data engineering, including data modeling, database systems, and ETL processes.
* Experience with monitoring and logging tools to detect and diagnose issues in machine learning models and supporting infrastructure.
* Excellent communication and collaboration skills, fluency in English, and an appreciation for cultural diversity.
The 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 services like rent, share, ride, and SIXT+, along with partner discounts.
* Training & Development: Participate in training programs, external conferences, and internal dev & tech talks for personal growth.
* Health & Well-being: Private health insurance to support your well-being.
* Additional Perks: Enjoy the Coverflex advantage system to enhance your employee experience.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Analyst, Engineering, and Information Technology
* Industries
IT System Data Services and IT Services and IT Consulting
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