Das ist der Job
That said, there is so much untapped potential with respect to personalization and recommendation.
Darum lohnt es sich
OrtGermany - BerlinVertragFull timeJob-KategorieSoftware Engineering - Backend
THE ROLE & THE TEAM
Lounge by the company is a rapidly growing part of the company, now turning over billions of euros each year.
Our team thrives on a multidisciplinary approach, and while this role is primarily focused on data engineering development, we highly value individuals who are adaptable and willing to contribute to other areas as needed, fostering a truly collaborative environment.
< You will be a data engineer, working alongside backend engineers and data scientists to build large-scale recommender systems.
As the largest online fashion retailer in Europe, we require a skilled engineer who can design, build, and maintain Machine Learning pipelines at a global scale.
You will play a key role across the entire ML lifecycle, from designing and implementing robust batch and streaming preprocessing pipelines to enabling efficient model training and distribution for our real‑time recommender systems.
This is a very good opportunity to build a data product that has a measurable impact on the business outcomes and the user experience. You will have significant input into architectural decisions, and help to implement state of the art ML recommender algorithms. There are very few roles that offer this unique synthesis of scale and ML complexity.
