.OverviewAre you interested in joining a dynamic and international team of professionals to transform education?
IE University's IT Department is looking for a AI Engineer to join its team!The Artificial Intelligence Engineer should preferably have a PhD and a strong track record in the development and implementation of advanced AI solutions.
The ideal candidate will lead innovative projects, collaborate with multidisciplinary teams, and apply machine learning and deep learning techniques to solve complex challenges in various academic and research sectors.
Proven experience in applying Large Language Models (LLM) and developing Retrieval-Augmented Generation (RAG) techniques is absolutely mandatory, as well as advanced project management skills.
Expertise in developing and deploying projects using LangChain or Directus for LLMs and RAG techniques is also required.Why IE University?With 50 years of experience and founded by and for entrepreneurs, IE University has turned business education on its head through disruptive teaching.
We count on high-level faculty who bring real-world experience into the classroom and foster a hands-on approach to learning.Our PurposeAt IE University, we foster positive change through education, research, and innovation.
As a transformative educational institution, we empower students to make their mark on the world.
We provide them with the skills, knowledge, and environment needed to make a difference, and they join a supportive and international community that lasts a lifetime.Our PeopleAt IE we are:People-drivenChange BuildersAutonomy EnthusiastsCommunication EnthusiastsKnowledge ChampionsWe are looking for a person to join a full-time position in Madrid.ResponsibilitiesYour role as AI Engineer will involve:Development of Advanced AI Models: Design, train, and optimize deep learning models, including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), LSTM, Transformers, and GANs, applied to areas such as computer vision, natural language processing, and recommendation systems.Implementation of LLM and RAG Techniques: Develop and integrate Large Language Models and apply Retrieval-Augmented Generation techniques to enhance the accuracy and relevance of AI solutions in academic and research projects.AI Project Management: Lead AI projects from conception to implementation, coordinating multidisciplinary teams, managing resources, and ensuring objectives and deadlines are met.Integration of AI Solutions: Collaborate with engineering and academic teams to implement AI solutions into existing systems and services, ensuring scalability, efficiency, and alignment with institutional goals.Research and Development: Stay updated on the latest trends and advancements in artificial intelligence, proposing and developing new techniques and tools that add value to the university and its research projects