Machine Learning Engineer - Scale Up - 2nd hand Marketplace

fledge; Barcelona; Híbrido; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Fledge is recruiting for a lead ML Platform Engineer to join a high-growth European tech scale-up redefining sustainable, second-hand trade. You will own the ML platform and collaborate with Data Scientists to deploy scalable models.

The role requires strong Python, AWS, Kubernetes, and CI/CD experience, plus fluency in English and Spanish. Hybrid Barcelona-based role with cross‑team collaboration across Data Eng and DevOps.

Formación

• Production-ready ML platforms and pipelines experience.
• Strong Python, Git and CI/CD skills.
• Experience with AWS components and Kubernetes.
• Real-time ML architectures with Kafka.
• Experience with vector databases (OpenSearch, Vertex AI).
• Proficiency in English and Spanish.

Responsabilidades

• Iterate and maintain the ML Platform; define the long-term vision and roadmap for MLOps.
• Collaborate with Data Scientists to provide tooling for development, deployment and monitoring of models.
• Define and promote engineering best practices (coding standards, testing, CI/CD) within ML.
• Partner with Data Engineering and DevOps to align ML with infrastructure and data governance.
• Investigate and integrate new frameworks and tools (LLMs, real-time inference) to keep stack modern.

Conocimientos

AWS SageMaker

Kubernetes

Python

Git

CI/CD

Kafka

OpenSearch

Vertex AI

Vector databases

Pandas

Scikit-learn

TensorFlow

PyTorch

English

Spanish

GCP/Azure

Herramientas

LangChain

LlamaIndex

Spark

Beam

Airflow

dbt

Datahub

GCP

Azure

Descripción del empleo

Barcelona, Full-time, Hybrid

Fledge

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 flexible 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. 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 and Spanish, with the ability to explain complex technical concepts to diverse stakeholders.

What Would Be A Plus

• 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.

Diversity, Equity, Inclusion, and Belonging

We are committed to enabling everyone to feel included and valued, and we trust our partners to do the same. We believe both the company and its culture are strongest when composed of diverse experiences and backgrounds.

All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.

Important

If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best, please let us know so we can discuss how we can best support you and make any necessary adjustments.

In case of any doubts or questions, please contact - [e-mail]