Senior Machine Learning Engineer
Há 4 dias
Farfetch Group Overview
">FARFETCH exists for the love of fashion. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers.
">We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone. We are FARFETCH for All.
">Tech at Farfetch
">We're on a mission to build the technology that powers the global platform for luxury fashion. We operate a modular end-to-end technology platform purpose-built to connect the luxury fashion ecosystem worldwide, addressing complex challenges and enjoying it.
">We're empowered to break traditions and revolutionise, with the freedom and autonomy to make a difference for our customers all over the world.
">The Role
">We are seeking a highly skilled and motivated Machine Learning Engineer to join our team in building an advanced personalization platform for online services, leveraging large-scale data and state-of-the-art Machine Learning techniques.
">You will work within a dynamic, interdisciplinary team comprising software engineers, data scientists, and other machine learning engineers, reporting directly to the engineering leadership.
">Your role will focus on implementing and optimising machine learning models for search, recommendations, and hyper-personalization, with a strong emphasis on information retrieval and recommendation systems.
">The platform serves millions of requests daily, powered by Python microservices and processes billions of data points to hyper-personalise the customer experience.
">Your Responsibilities
">- ">
- Work with technical partners to implement the end-to-end architecture;">
- Surface the team's output through the construction of ETLs, APIs and web interfaces;">
- Design model serving solutions and develop machine learning-based applications, services, and APIs so as to productionize machine learning models;">
- Partner with the Data Scientists and Software Engineers to provide an end-to-end solution for machine learning-based projects;">
- Continuously optimise machine learning models and pipelines to improve performance and efficiency, and develop monitoring strategies to ensure reliability;">
- Foster the technological evolution of services and improve their end-to-end quality attributes.">
What You'll Need
">To be successful in this role, you will need:
">- ">
- BSc, MSc, or PhD in relevant fields such as Computer Science, Machine Learning, Data Science, or related disciplines;">
- 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, 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);">
- Experience Continuous Integration & Continuous Deployment processes and platforms, software design patterns and APIs;">
- Experience with Kubernetes;">
- A person that enjoys staying on top of all the best practices and tools of modern software engineering, while being an advocate of code quality and continuous improvement.">
Compensation
">We offer a competitive salary of €80,000 per year, depending on experience.
">Location
">This role is based in Porto, Portugal, a vibrant second city known for its history and creative yet cosy environment.
">Benefits
">We offer a range of benefits, including:
">- ">
- A generous pension scheme;">
- A flexible working hours policy;">
- A comprehensive health insurance plan;">
- A meal allowance;">
- A annual bonus.">
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