Overview
Presente su candidatura después de leer los siguientes requisitos de habilidades y cualificaciones para este puesto.
Senior ML Engineer at Wallapop leads the evolution of the ML Platform and MLOps, partnering with data scientists and engineers to scale models for personalization, search, and safety. You shape the long-term ML roadmap, improve reliability, and integrate modern tools to serve millions of users. You’ll work across Data Science, Data Engineering, and DevOps in a fast-growing, Barcelona-based environment that values innovation and responsible scaling.
Compensaciones / Ventajas
phantom shares package
learning budget
language lessons (English, Catalan & Spanish)
Private Health Insurance
Flexible working hours
26 holidays per year
Responsabilidades
Iterate and maintain the ML Platform to improve speed, reliability, and maintainability
Define the long-term vision and roadmap for MLOps
Support Data Scientists with tooling for developing, deploying, and monitoring scalable models




Promote engineering best practices (coding standards, testing, CI/CD) within ML
Coordinate with Data Engineering and DevOps to align ML with infrastructure and data governance
Investigate and integrate new frameworks/tools (e.g., for LLMs or real-time inference) to keep stack modern
Requisitos principales
Proven experience building and maintaining production-ready ML platforms and pipelines xqbhyrx
Strong knowledge of AWS (SageMaker, Lambda, S3) and Kubernetes
Solid software engineering background with Python, Git, and CI/CD
Experience with real-time ML architectures using Kafka
Hands-on experience with vector databases or semantic search (OpenSearch, Vertex AI)
Cross-functional collaboration
Ability to explain complex technical concepts to diverse stakeholders
Problem-solving mindset
Python
Git
CI/CD

📌 MLOps Engineer (Barcelona)
🏢 Wallapop
📍 Barcelona