Machine Learning Engineer Technical Lead

ADEVINTA + Seguir empresa
Barcelona - España 02/08/2022

Descripción de la oferta de empleo

Company Description

We’re Adevinta, a global leader in digital marketplaces. Our household name brands, including marktplaats in The Netherlands, in Germany and leboncoin in France, reach hundreds of millions of people every month.

We’re all about matchmaking, and our sites help people find whatever they’re looking for in their local communities - whether it’s a car, an apartment, a sofa or a new job. Every connection made or item found makes a difference by creating a world where people share more and waste less.

Our brands are supported by global Tech Hubs in Paris and Barcelona. Their goal is to develop common global product and innovation platforms which all of our brands can use. This means using cutting edge technology to create highly scalable, customisable and secure products and components that free up development time and leverage our access to global data.

Job Description

CRE is the team behind Unicron, a modern data science, machine learning (ML) and big data platform, which runs on top of Kubernetes that we manage through GitOps.

We built Unicron as an internal response to all Adevinta Global and marketplace teams to help them process petabytes of data and easily build amazing machine learning models at scale. Today, we’re currently managing 70+ Kubernetes clusters with minimum overhead.

We help Adevintans adopt good practices, reusing artifacts such as templates, libraries and other accelerators to make their life way easier. We’re looking for an experienced machine learning engineer to join us as a technical lead. In this influential role, you can take our data engineering and machine learning capabilities to a new level.

Key responsibilities:
• Coach ML squad team members, undertake code reviews and provide advice and guidance when necessary
• Work with other teams to understand current processes and missing opportunities around data engineering and machine learning development, and then find solutions
• Help define a machine learning golden path, supported by best practices, proven processes and technology
• Evaluate and select the best technology to be offered as-a-service in the Unicron platform
• Help onboard teams to our platform and services, track their progress and learn from their feedback
• Build highly reliable, secure and scalable solutions for data science and machine learning, on top of a wide spectrum of technologies, e.g. AWS, GCP or Azure, Kubernentes, Docker, Airflow, Hadoop, Python, Go or Rust, GitHub, CI/CD tools
• Monitor and automate the operations and production of large-scale distributed systems


• Passionate about platform development and modern engineering practices
• Extensive experience of applying machine learning modeling to create data products and MLOps
• Experience of managing small to medium size teams
• Experience with AWS and/or other cloud providers
• Experience with machine learning technologies such as Kubeflow, Vertex AI, SageMaker, MLFlow and/or Neptune
• Experience with infrastructure and containers platforms such as Docker and Kubernetes
• Able to communicate your findings in a concise way to a technical and non-technical audience
• Comfortable working in an iterative incremental framework
• Knowledge in any machine learning field like Natural Language Processing, Computer Vision or Forecasting is a plus

Additional Information

What you’ll get from us
• Competitive compensation package
• A unique position in an international and dynamic environment
• Opportunity to shape the way we work. Your feedback and opinions are valued at all levels of the organization
• The chance to be a key player in a growing, highly skilled team
• Great colleagues and a healthy working environment
• Flexibility to work when and how you want - flexible hours, autonomy to set your own agenda, choice of phone and computer

Otros detalles de la oferta

Imprescindible Residir: Provincia Puesto

Formación Mínima: Ingeniero Tecnico

Nivel Profesional: Empleado

CVs inscritos en el proceso: 5

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