About the role
In your role as Software Engineer - Machine Learning (all genders) at OUTFITTERY you will be responsible for implementing, deploying, monitoring and maintaining the infrastructure and software to enable Machine Learning (ML) solutions, e.g., in the area of fashion AI, recommendation systems, and others across all business domains. Together with the data science and engineering teams, you will implement best practices to improve our existing AI/ML infrastructure focusing on stability, efficiency, and scalability. You will apply your end-to-end understanding of ML applications and data product design. All of this in a diverse and international team. You will join a data team of eight data engineers, analysts and scientists who work closely with different units to solve business problems at hand.
Manage and maintain ML microservices for tasks like fashion recommendations, article filtering, and dataset composition.
Monitor, modify, and improve the software components of these services, including postprocessing algorithms for ML scores, flask endpoints serving the algorithms, deployment processes for services.
Work closely with data scientists on shaping our data driven applications through their entire lifecycle – from ideation and specification, architectural design, prototyping, testing, deployment and integration into productive systems.
Define and follow development and testing standards as well as automate CI/CD related processes.
Communicating design and implementation to colleagues and senior management in verbal, visual, and written media.
Collaborate with teams across the company, e.g., IT, Product, Marketing, Sales, and Finance & Risk.
About the company
OUTFITTERY is the biggest personal shopping service in Europe. We're for those who want a little more substance from style, more guidance and expertise - less rules and less routine. Because we believe that style is an unfolding story. We aim to inspire and empower - not dictate what to wear. We understand that style is a journey, and we're here to guide the way. Every customer gets a personal selection of clothes, which our stylists create out of more than 100 brands - always considering their wishes and budget. Our customers only pay for what they keep. Our mission is to empower anyone to unlock their true style.
