Researcher in Artificial Intelligence, specialized in LLMs

OverviewAre you ready to take on cutting-edge challenges in AI by designing, benchmarking, and applying state-of-the-art Machine Learning (ML), Large Language Models (LLMs), and Agentic AI solutions? Join our team at the Applied Artificial Intelligence Unit of Eurecat. We are seeking a highly motivated engineer with a hybrid profile inLLMs and MLto help shape the future of AI and drive digital transformation across sectors. If you are passionate about cutting-edge AI research, real-world impact, and bridging LLMs with broader ML techniques, we want to hear from you As a member of our team, you will: Design and implement cutting-edge LLM-based solutions, including fine-tuning transformer models, LLM workflows, agents, and integrating generative AI into real-world applications. Develop and benchmark Agentic AI and Retrieval-Augmented Generation (RAG) solutions, enabling autonomous reasoning, memory handling, and efficient knowledge retrieval. Apply classical ML techniques (regression, classification, clustering, feature engineering) and modern Deep Learning approaches (CNNs, RNNs, Transformers, GNNs) to develop models for time series forecasting, anomaly detection, and predictive maintenance, among others. Conduct research and experimentation with the latest advancements in NLP, ML, and generative AI, staying ahead of the curve in interpretability, efficiency, and responsible AI. Lifecycle maintenance and continuous improvement of deployed ML and RAG solutions in production environments, ensuring ongoing efficiency and quality. Apply state-of-the-art AI techniques to projects in knowledge extraction, document understanding, multimodal AI, and AI-driven content generation. Contribute to AI research and innovation, publishing findings and collaborating with the broader AI/ML community. Lead and collaborate on AI-driven projects, working within multidisciplinary teams to develop impactful, scalable, and responsible AI solutions. What Eurecat can offer you Our group specializes in applied research and development on ML and AI solutions. The Applied Artificial Intelligence Unit of Eurecat develops innovative solutions (algorithms, methods, platforms) based on a combination of artificial intelligence and knowledge management technologies, especially for the industrial, energy and sustainability sectors. We have over 12 years of experience pushing the adoption of state-of-the-art AI and ML solutions for private customers as well as European research projects. And … Permanent contract Hybrid work (3 home office/2 work in the office) Flexible Schedule Shorter workday on Friday and Summer Schedule Flexible remuneration package (health insurance, transport, lunch, studies - training and kindergarten) Eurecat workers can join the Eurecat Academy courses Eurecat workers can attend our weekly thematic sessions to expand knowledge areas Language training (English, Catalan and Spanish) Commitment to work-life balance Requirements PhD is a requirement. Educational background: ML, AI, NLP, Computer Science, or related fields (Physics, Mathematics, Engineering). Experience and other requirements: Minimum of 1 year of experience in LLM development and ML model design. Passion for AI, NLP, and LLMs. Solid knowledge of classical ML algorithms (SVMs, Random Forests, XGBoost, clustering, dimensionality reduction) and Deep Learning architectures (CNNs, RNNs, Transformers, GNNs, Autoencoders). Experience with time series analysis and forecasting (ARIMA, Prophet, RNN/LSTM/Transformer-based models). Proficiency in Python and experience with ML/NLP libraries such as scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, OpenAI API, Langchain, Sentence Transformers. Open-minded and multidisciplinary: eager to explore new applications of AI. Dynamic communication skills, allowing you to effectively convey complex ideas and collaborate with colleagues from diverse backgrounds. Willingness to travel when needed to engage with clients, partners, and researchers worldwide. Languages: English. Desirable Catalan and/or Spanish. Seniority levelNot Applicable Employment typeFull-time Job functionResearch IndustriesTechnology, Information and Internet#J-18808-Ljbffr