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.
Thought Leadership and Knowledge Sharing
At Astrafy, we value curiosity and community. Our engineers contribute to the AI/ML
ecosystem by sharing insights through blog posts and social media (e.g., Medium, LinkedIn).
You'll be encouraged to write technical articles, showcase project learnings, and help
position Astrafy as a thought leader in applied AI.
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
Tipo de puesto: Jornada completa, Contrato indefinido
Preguntas para la solicitud:
- Are you elegible to work in the EU?
Ubicación del trabajo: Teletrabajo híbrido en 28020 Madrid, Madrid provincia
