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Senior ML / AI Engineer

Senior ML / AI Engineer

Astrafy SAMadrid, Comunidad de Madrid, España
Hace 12 días
Descripción del trabajo

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.
  • #J-18808-Ljbffr

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    Senior Engineer • Madrid, Comunidad de Madrid, España

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