Machine Learning Engineer
Core
Lead the evolution of Wallapop's ML Platform and MLOps practice to support complex solutions in Personalization, Search, Trust & Safety, and Logistics for millions of users.
Role type
Senior Machine Learning Engineer (MLOps & Platform)
Builds
Scalable ML platforms, MLOps infrastructure, and tooling for model development and deployment.
Domain
Collaborative economy marketplace (Spain, Italy, Portugal) / Machine Learning Engineering
Deliverable
production ML models | infrastructure
Required skills
Production ML platform ownership, AWS SageMaker/Lambda/S3, Kubernetes, Python, CI/CD, real-time ML architectures, Kafka, vector databases, semantic search, ML orchestration/tracking tools
Preferred skills
LLM integration, real-time inference optimization
Technologies
AWS (SageMaker, Lambda, S3), Kubernetes, Kafka, OpenSearch, Vertex AI, Flyte, MLFlow, Feast
Responsibilities
Iterate and maintain the ML Platform for speed and reliability; Define long-term MLOps vision and roadmap; Partner with Data Scientists to provide efficient development and monitoring tooling; Define and promote engineering best practices in the ML domain; Partner with Data Engineering and DevOps on infrastructure alignment; Investigate and integrate new frameworks and tools for LLMs or real-time inference.
Seniority
Senior, hands-on IC
