AI & Machine Learning Engineer

RE:LAB is a design and innovation company specialized in shaping the interaction between people and complex technologies. To strengthen our R&D department and innovation activities, we are looking for an AI & Machine Learning Engineer to contribute to the research and development of intelligent software solutions. The role focuses on the design, experimentation, and implementation of AI-based applications, working across areas such as machine learning, generative AI, multimodal systems, and edge computing.

Responsibilities

Design and develop AI and Machine Learning solutions for research and industrial applications; Contribute to the development of applications based on Large Language Models and Generative AI; Design and implement Retrieval-Augmented Generation (RAG) solutions and knowledge-based AI systems; Explore and develop multimodal applications combining different types of data and inputs; Contribute to the deployment and optimization of AI models for edge and resource-constrained environments; Develop prototypes and proof-of-concepts to evaluate emerging AI technologies; Support testing, evaluation, and performance analysis of AI models and applications; Collaborate with multidisciplinary teams across software engineering, design, HMI, and research activities; Contribute to technical documentation and project deliverables

Requirements

Master's degree in Computer Engineering, Computer Science, Artificial Intelligence, or related technical fields; Good knowledge of Artificial Intelligence and Machine Learning principles; Strong programming skills, particularly in Python; Familiarity with modern AI frameworks and software development methodologies; Understanding of data processing, model evaluation, and experimentation workflows; Strong analytical and problem-solving skills; Curiosity toward emerging technologies and research-driven development; Ability to work effectively within multidisciplinary teams; Good command of the English language, both written and spoken

Nice to have

Experience with Large Language Models (LLMs) and Generative AI; Knowledge of RAG architectures, embeddings, vector databases, and information retrieval; Familiarity with multimodal AI, computer vision, speech, or natural language processing; Experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or similar; Familiarity with edge AI, model optimization, or deployment on embedded and resource-constrained platforms; Experience with cloud platforms, APIs, or containerized environments; Academic, research, or professional experience involving innovative AI applications