Responsibilities
- Iterate and maintain Wallapop’s ML Platform, identifying opportunities to improve speed, reliability, and maintainability. You will help execute the long-term vision and roadmap for MLOps.
- Work hand-in-hand with Data Scientists to support their efforts, ensuring they have the tooling to develop, deploy, and monitor scalable models efficiently.
- 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 (e.g., for LLMs or real-time inference) to keep our stack modern and effective.
Requirements
- Solid experience contributing to and maintaining production-ready ML platforms and pipelines. You understand the lifecycle from experimentation to monitoring.
- Solid understanding of AWS components (SageMaker, Lambda, S3) and container orchestration with Kubernetes.
- Strong software engineering background with proficiency in Python, Git, and CI/CD workflows. You write robust, testable code.
- Experience with real-time ML architectures, leveraging tools like Kafka for low-latency ingestion and inference.
- Hands-on experience with vector databases or semantic search infrastructure (e.g., OpenSearch, Vertex AI), including indexing and retrieval tuning.
- Familiarity with the broader ML toolkit, such as orchestration/tracking tools (Flyte, MLFlow, Feast) and standard libraries (Pandas, Scikit-learn, TensorFlow/PyTorch).
- Professional proficiency in English, with the ability to communicate technical concepts clearly to diverse stakeholders.
Nice to Have
- Hands-on experience working with LLMs, RAG architectures, and libraries like LangChain or LlamaIndex.
- Familiarity with Big Data technologies like Spark or Beam.
- Experience with Data Engineering tools such as Airflow, dbt, or Datahub.
- Experience with other cloud platforms like GCP or Azure in addition to AWS.
Work Arrangement
Hybrid — Barcelona
Additional Information
- All our jobs are 📍 Barcelona based.
- We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office.
- Each team self-organizes to decide on cadence and in-person/remote rituals.
- Professional proficiency in English is required.
- TOP hardware of your choice (latest Apple or Windows).
- Relocation package (monetary support and legal advice) and visa sponsorship, if applicable.
Visa sponsorship available
