Farfetch is a leading global marketplace for the luxury fashion industry. The Farfetch Marketplace connects customers in over 190 countries and territories with items from more than 50 countries and over 1,400 of the world’s best brands, boutiques, and department stores, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace.
TECHNOLOGY
We're on a mission to build end-to-end products and technology that powers an incredible e-commerce experience for luxury customers everywhere, understanding the motivations and needs of our customers and partners, to designing and testing hypotheses, to creating industry-leading experiences for luxury customers.
PORTO
Our office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals.
THE ROLE
We are looking for a Machine Learning Engineer to join our Data Science Product Matching team: the main objective of Product Matching is to determine which of our competitors are selling the same products as us and what these products are, to support the definition of competitiveness strategies and enable a more efficient reaction. You will report to a Software Engineer Lead and you will work with other Machine Learning Engineers, Data Scientists, Product Manager and other technical teams, both here in Portugal and across our other locations, shaping the technical direction of a critically important part of Farfetch. Your role will involve getting data science solutions ready for use and integrating them into our internal business products or operational systems.
WHAT YOU'LL DO
Work with Machine Learning Engineers, Data Scientists and Software Engineers to create production-quality Machine Learning pipelines and solutions with an emphasis on Performance, Scalability, Reliability and Maintainability
Build components and libraries that will improve existing solutions and improve the delivery of new ones
Continuously optimize machine learning models and pipelines to improve performance and efficiency, and develop monitoring strategies to ensure reliability
Surface models and their outputs through the construction of ETLs and APIs.
WHO YOU ARE
Experience implementing end-to-end data products with Data Engineering and Machine Learning components - from the system design to construction, deployment, orchestration and monitoring
Experience writing production quality code in Python 3, including, for example, dependency management and testing frameworks
Familiarity with the engineering aspects of some of popular Machine Learning practices, libraries and platforms (e.g. MLflow, Databricks, Spark, MLlib, PyTorch, Numpy, Pandas, TensorFlow and Scikit-learn among others).
Ces cookies sont nécessaires au fonctionnement du site web et ne peuvent pas être désactivés dans nos systèmes. Vous pouvez configurer votre navigateur pour qu'il bloque ces cookies, mais certaines parties du site risquent alors de ne pas fonctionner.
Sécurité
Expérience utilisateur
Cookies ciblés
Ces cookies sont placés par nos partenaires publicitaires via notre site web. Ils peuvent être utilisés par ces entreprises pour créer un profil de vos intérêts et vous montrer des publicités pertinentes ailleurs.
Google Analytics
Google Ads
Nous utilisons des cookies
🍪
Notre site web utilise des cookies et des technologies similaires pour personnaliser le contenu, optimiser l'expérience de l'utilisateur, individualiser et évaluer la publicité. En cliquant sur OK ou en activant une option dans les paramètres des cookies, vous acceptez cela.
Les meilleurs emplois à distance par courriel
Rejoins 5'000+ personnes qui reçoivent des alertes hebdomadaires avec des emplois à distance!