We are a boutique search firm connecting exceptional Talent with the most innovative companies and products that positively impact our societies. We present a tailor‑made solution between fine consulting and versátil Talent search process outsourcing:
- Fractional Talent Acquisition Advisory
- Recruitment operation tooling
- On‑demand Talent Search
Company summary
Our client is a high‑growth European tech scale‑up on a mission to redefine how the world consumes. They believe in a collaborative economy where smart technology makes sustainable, second‑hand trade the global norm.
Operating as a major cross‑border marketplace in Spain, Italy, and Portugal, they manage a massive ecosystem with hundreds of millions of products. Their goal is to blend the trust of traditional classifieds with the seamless convenience of a modern marketplace.
In this role, you will:
- Iterate and maintain the ML Platform, identifying opportunities to improve speed, reliability, and maintainability. You will define 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.
- Define 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.
For this job, you must:
- Proven experience building and owning production‑ready ML platforms and pipelines. You understand the full lifecycle from experimentation to monitoring.
- Deep 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
📌 Machine Learning Engineer (Barcelona)
🏢 Fledge
📍 Barcelona
Postulate a este anuncio
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.