Education: BSc/MSc in Computer Science, Artificial Intelligence, Machine Learning, or a highly quantitative field (PhD preferred).
Experience: 2+ years of hands-on experience as an AI or ML Engineer, building a validated real product, ideally within a product-led biotech, health-tech, or SaaS company.
Technical Stack: Deep proficiency in Python and Typescript and standard ML frameworks (e.g., Langfuse, PyTorch, TensorFlow, JAX, Scikit-learn).
NLP/LLM Expertise: Proven experience working with Large Language Models, including fine-tuning, and RAG (Retrieval-Augmented Generation) architectures.
Cloud & Infrastructure: Familiarity with AWS/Azure/GCP and experience deploying models in Docker/Kubernetes environments.
Domain Knowledge: It is a plus to have experience working with biological, genomic, or clinical data is a significant advantage.
Autonomy: A self-starter mindset with the ability to navigate ambiguity and drive AI projects from concept to production without constant oversight.

AI Engineer - Remote (Spain)

Summary