Skills & stack
Languages
Python
Tools & Infra
AWS
Kafka
Kubernetes
Skills
MLFlow
PyTorch
TensorFlow
About the role
Wallapop is hiring a mid-level MLOps Engineer for hybrid work in Barcelona, Spain. You will help evolve its machine-learning platform to support Personalization, Search, Trust & Safety, and Logistics.
Work format
This is a full-time position with a minimum of 6 office days per month. Each team decides its attendance cadence.
Skills and tools
- Python
- AWS
- SageMaker
- Lambda
- S3
- Kubernetes
- Git
- Kafka
- OpenSearch
- Vertex AI
- Flyte
- MLFlow
- Feast
- Pandas
- Scikit-learn
- TensorFlow
- PyTorch
- LangChain
- LlamaIndex
- Spark
- Beam
- Airflow
- dbt
- Datahub
- GCP
- Azure
What to prepare
- Prepare a production ML pipeline walkthrough covering deployment, monitoring, and infrastructure decisions.
- Choose a Python code sample that demonstrates testing and CI/CD practices.
Responsibilities
- Support data scientists with tooling for model development, deployment, and monitoring.
- Promote coding standards, testing, and CI/CD practices across ML development.
- Align infrastructure and data governance with Data Engineering and DevOps.
- Evaluate and integrate frameworks for LLMs and real-time inference.
Requirements
- Experience maintaining production ML platforms and pipelines, from experimentation through monitoring.
- Knowledge of AWS services, including SageMaker, Lambda, and S3, plus Kubernetes orchestration.
- Python programming skills, Git experience, and CI/CD expertise for testable code.
- Experience with Kafka-based real-time ML architectures for low-latency ingestion and inference.
- Vector database or semantic-search experience, including indexing and retrieval tuning.
- Familiarity with Flyte, MLFlow, Feast, Pandas, Scikit-learn, TensorFlow, and PyTorch.
- Professional English proficiency and the ability to explain technical concepts to stakeholders.
Nice to have
- LLM and RAG experience, including LangChain or LlamaIndex.
- Familiarity with Big Data technologies such as Spark or Beam.
- Experience with Data Engineering tools such as Airflow, dbt, or Datahub.
- Experience with GCP or Azure alongside AWS.
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W
Wallapop
Verified
Product
Wallapop is Spain's leading second-hand marketplace app, connecting buyers and sellers of used goods since 2013. Headquartered in Barcelona with a team spanning 26+ nationalities, its engineering org
- Location
- Barcelona, Spain
- Team size
- 501-1000
- Remote policy
- Hybrid
Overview
- Seniority
- Middle
- Remote policy
- Hybrid
- Location
- Barcelona, Spain
- Employment
- Full-time
- Posted
- Aug 10, 2026