Our client is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. They are the largest quantum software company in the EU, with 250+ employees worldwide and growing, delivering advanced solutions trusted by leading integral enterprises across several critical industries, including finance, energy, manufacturing, telecom, and industrial sectors.

Job Overview
We are seeking a skilled and experienced Manager with a strong technical background in data science or AI to join their team. In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and deployment in production environments of machine learning, vision, or Generative AI systems, as well as working closely with cross-functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of AI technologies.

Required Qualifications:
Master's or Ph.D.



in Artificial Intelligence, Computer Science, Data Science, Physics, Engineering, or related fields, with 5+ years of relevant industry experience.
2+ years of successful project management experience in leading and managing engineering teams in a technology-driven company.
3+ years of hands-on experience with data science, Generative AI, deep learning (e.g., computer vision, LLMs, etc.), or software engineering technologies in an industrial, non-academic environment.
Proven experience in the design and implementation of ML or AI systems, including RAG and Agentic AI solutions, and deploying them in cloud-based production environments.
Proven experience with LLM models, including fine-tuning and alignment techniques to specialize them on different tasks, or pruning and other model compression techniques.
Excellent command of Python, Docker and Git.
Experience with GitHub/Gitlab workflows and functionaliti

📌 Manager Services AI (España)
🏢 Sabia Personal
📍 España