MLOps Engineer
Core
Build and maintain Wallapop's ML Platform and MLOps practice to support complex solutions in Personalization, Search, Trust & Safety, and Logistics for millions of users.
Role type
MLOps Engineer
Builds
Scalable ML platforms and pipelines for a second-hand marketplace
Domain
E-commerce / Marketplace / Machine Learning
Deliverable
production ML models
Required skills
Python, Git, CI/CD, AWS (SageMaker, Lambda, S3), Kubernetes, Kafka, Vector databases (OpenSearch, Vertex AI), ML orchestration/tracking (Flyte, MLFlow, Feast), Pandas, Scikit-learn, TensorFlow/Pytorch
Preferred skills
LLMs, RAG architectures (LangChain, LlamaIndex), Big Data (Spark, Beam), Data Engineering tools (Airflow, dbt, Datahub), GCP, Azure
Responsibilities
Iterate and maintain the ML Platform to improve speed, reliability, and maintainability; Partner with Data Scientists to provide tooling for developing, deploying, and monitoring scalable models; Adopt and promote engineering best practices (coding standards, testing, CI/CD) within the ML domain; Partner with Data Engineering and DevOps to align ML development with company-wide infrastructure and data governance standards; Investigate and integrate new frameworks and tools for LLMs or real-time inference
Seniority
Mid-Senior, hands-on IC
