Responsibilities

Inscríbase ahora, lea los detalles del trabajo desplazándose hacia abajo. Verifique que posee las habilidades necesarias antes de enviar una solicitud.

-

- Experiment & Build: Design, set up, and execute experiments focusing on LLMs, Agentic AI, model fine-tuning, and broader ML systems.

- Algorithmic Debugging: Actively investigate why a model isn’t converging, why outputs are inconsistent, or why results are unreliable across different ML architectures.

- Code Quality: Write clean, modular code (effective use of classes, functions, and documentation) following strict software engineering best practices.

- Autonomous Delivery: Deliver projects with a high degree of autonomy.

Requirements

-

- A Master's degree (required) in a highly technical and quantitative field such as Mathematics, Physics, Engineering, Computer Science,



or a rigorous double degree.

- You have zero gaps in your machine learning fundamentals.

- Extensive, highly proficient experience with Python and SQL.

- Strong track record working with Language Models, Agentic AI workflows, and deep expertise in model fine-tuning (experience with Knowledge Graphs is a plus).

- Highly capable of deploying solutions into production environments using tools like Docker and other containerization technologies.

- You are exceptionally smart, highly autonomous, and thrive in ambiguity. xcskxlj

- You can present complex research results clearly to both highly technical peers and non-technical business stakeholders.

#J-18808-Ljbffr

📌 Senior AI Research Engineer – Agents Team (Madrid)
🏢 Jobtailor
📍 Madrid