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Urgent! Senior ML/AI Engineer - Local Job Opening in madrid

Senior ML/AI Engineer



Job description

Your profile

  • 5+ years of hands-on experience in ML/AI engineering or data science roles
  • 3+ years of experience with Google Cloud Platform (GCP), including hands-on use of Vertex AI and BigQuery
  • Proven experience delivering production-grade models and scalable ML systems
  • Strong knowledge of ML algorithms, model development, deployment, and lifecycle management
  • Proficiency in Python and ML frameworks such as TensorFlow or PyTorch
  • Expertise in MLOps tooling and automation, ideally with tools like Kubeflow, MLflow, or Vertex AI Pipelines
  • Experience applying LLMs, especially in Retrieval Augmented Generation (RAG) workflows
  • Familiarity with data preprocessing, model tuning, and performance optimization
  • Clear communicator with the ability to translate complex ideas to technical and non-technical audiences
  • Fluent in English (French or Spanish is a plus)
  • Eligible to work in Europe
Bonus Skills
  • Experience with LangChain, LangGraph, or dbt
  • Prior involvement in consulting or client-facing data/AI projects
  • Contribution to open-source, or published content in AI/ML communities
Why us?

At Astrafy, our values shape everything we do:

  • Generosity – we give back through open-source projects and community initiatives.

  • Transparency – every voice matters, and we commit together once decisions are made.

  • Growth – we put learning above ego, creating space to experiment and improve.

  • Ownership – we work with purpose, take responsibility, and celebrate real impact.

  • Trust – we care for each other as people, not just colleagues.

  • Ever-learning – we dedicate time to training, innovation, and sharing knowledge.

Join us to grow, contribute, and make a difference — inside and outside the company.

Your mission

Your Mission

As a Senior ML/AI Engineer at Astrafy, you will lead the design, deployment, and scaling of ML/AI models in production.

You'll work cross-functionally with both technical and business teams to craft tailored, high-impact AI solutions that drive real-world value.

This is a high-ownership role where you'll act as both a technical expert and a strategic thinker — ensuring delivery of robust, scalable models while aligning closely with stakeholder needs and business KPIs.

On the Business Side

  • Partner with clients and internal stakeholders to understand strategic objectives and uncover ML/AI opportunities.

  • Assess feasibility by analyzing available data sources and proposing realistic and impactful solutions.

  • Define project goals, success criteria, and measurable KPIs in alignment with business needs.

On the Technical Side

  • Lead the design and development of machine learning models using PyTorch, TensorFlow, or similar frameworks.

  • Implement best-in-class MLOps practices to automate the training, deployment, and monitoring of models (e.g., with Kubeflow).

  • Build and optimize scalable pipelines for data ingestion, model training, evaluation, and inference.

  • Ensure full automation from preprocessing to production, with robust testing and CI/CD integration.

  • Collaborate closely with data engineers and platform teams to ensure model performance, reliability, and maintainability.

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