AI ENGINEER, IT IN MADRID | CAREERS AT MADRID

Overview Are you interested in joining a dynamic and international team of professionals to transform education? IE Universitys IT Department is looking for a AI Engineer  to join its team!    \u202fThe Artificial Intelligence Engineer, preferably with 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 Purpose At 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 spirit of innovation and entrepreneurship has allowed us to drive change and constantly stay at the cutting edge of higher education.
And through diversity, we have harnessed the power of people while also understanding and embracing the importance of humanities.
Our People At IE we are.
People-driven Change Builders Autonomy Enthusiasts Communication Enthusiasts Knowledge Champions We are looking for a person to join a full-time position in Madrid.
Responsibilities Your role as AI Engineer will involve.
Development of Advanced AI Models.
\u202fDesign, 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.
\u202fDevelop 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.
\u202fLead AI projects from conception to implementation, coordinating multidisciplinary teams, managing resources, and ensuring objectives and deadlines are met.
Integration of AI Solutions.
\u202fCollaborate 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.
\u202fStay 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.
Optimization and Scalability.
\u202fAdjust hyperparameters, refine neural network architectures, and optimize data pipelines, ensuring efficient use of computational resources (GPUs/TPUs) and leveraging cloud infrastructures (AWS, Azure, GCP) for horizontal and vertical scalability.
Qualifications To thrive in this role, you should have.
Educational Background.
\u202fPhD in Computer Science, Engineering, Mathematics, or related fields.
Professional Experience.
\u202fOver 4 years of demonstrable experience in developing and implementing AI and deep learning solutions, with a strong track record in Deep Learning projects.
Technical Skills.
Proficiency in programming languages such as Python and R.
Experience with AI frameworks like TensorFlow, PyTorch, and Keras.
Knowledge of MLOps, best deployment practices, and pipeline management tools (MLflow, Kubeflow, Airflow).
Experience handling big data and distributed ecosystem tools (Apache Spark, Hadoop) and knowledge of NoSQL databases.
Specialization in LLM and RAG.
\u202fProven experience in developing and applying Large Language Models and Retrieval-Augmented Generation techniques, including the use of LangChain or Directus.
Project Management.
\u202fAdvanced skills in planning, executing, and overseeing AI projects, including team coordination and resource management.
Cloud Infrastructure.
\u202fExperience working with cloud infrastructures (AWS, Azure, GCP) and utilizing GPU/TPU environments for training and optimization.
Languages.
\u202fAdvanced English proficiency (C2 level), both written and spoken.
Preferred Qualifications.
Specialized AI Areas.
\u202fExperience with advanced techniques in natural language processing (NLP), computer vision, recommendation systems, and/or reinforcement learning.
Publications and Contributions.
\u202fPublications in recognized AI conferences or journals, and/or contributions to open-source projects or active participation in AI communities.
DevOps and Containerization.
\u202fKnowledge of DevOps and containerization tools such as Docker and Kubernetes.
It's time to bring your best and make your mark.
u202fNow the choice is yours!     If you want to be part of this educational revolution,\u202fwe invite you to apply and be part of our amazing team at  IE University.