Overview

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 / Incentivos 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

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

📌 Aws Engineer, DevOps, Machine Learning (Barcelona)
🏢 Wallapop
📍 Barcelona