Join Our Team as a Software Engineer - Machine Learning
OUTFITTERY, Europe's leading personal shopping service, is seeking a talented Software Engineer specializing in Machine Learning to join our dynamic team. In this role, you will be at the forefront of implementing, deploying, and maintaining machine learning solutions that drive our fashion AI and recommendation systems.
Key Responsibilities
- Manage and Maintain ML Microservices: Oversee services for fashion recommendations, article filtering, and dataset composition.
- Software Development: Monitor, modify, and enhance software components, including postprocessing algorithms and Flask endpoints.
- Collaboration: Work closely with data scientists to shape data-driven applications from ideation to deployment.
- Standards and Automation: Define development and testing standards and automate CI/CD processes.
- Communication: Effectively communicate design and implementation strategies to colleagues and senior management.
- Cross-Department Collaboration: Collaborate with IT, Product, Marketing, Sales, and Finance & Risk teams.
Your Profile
- Educational Background: Degree in Computer Science, Machine Learning, Physics, or a related field.
- Experience: Hands-on experience with large-scale AI systems, Python development, and database management.
- Technical Skills: Proficiency in MLOps practices, cloud platforms (AWS), and containerization (Docker, Kubernetes).
- Language Skills: Fluency in English; German is a plus.
What We Offer
- Flexible Working: Choose to work from home or the office, with the option to work abroad for up to 6 months.
- Mental Health Support: Access to individual psychological counseling through Likeminded.
- Team Events: Regular opportunities to connect with colleagues through fun team events.
- Employee Discounts: Enjoy a 40% discount on OUTFITTERY products and additional offers through our Corporate Benefits Platform.
- Lunch Vouchers: Receive up to €50 monthly for lunch as a tax-free benefit.
If you are passionate about machine learning and eager to contribute to innovative solutions in the fashion industry, we encourage you to apply. Please submit your application in English, including your salary expectations and possible starting date.
Benefits Extracted with AI
- Flexible working hours
- Remote work option
- Work abroad for up to 6 months
- Mental health support
- Regular team events
- Employee discounts
- Lunch vouchers
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