Researcher in Artificial Intelligence, specialized in LLMs

Eurecat is the second Research & Technology Organisation in Spain and one of the largest applied research and technology transfer organisation in Southern

Europe. It brings together the experience of more than 800 professionals who generate an annual turnover of 69 million euros and provides services to more than 2,000 companies. Eurecat integrates advanced digital capabilities and experience in biotechnology, industry and sustainability and collaborates with industry in R+D+I activities and projects, offering advanced scientific and technological services and specialized knowledge to respond effectively to the technological needs of very different business sectors, accelerating innovation, reducing both risks and spendings on scientific and technological infrastructures. The technology center participates in more than 200 large national and international consortium projects of high strategic R&I, has 230 patents and 10 spin-offs. Eurecat has eleven centers in Catalonia and presence in Madrid, Malaga and Chile.

Are 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 (Water & Climate Change AI Solutions).

We are seeking a highly motivated engineer with a hybrid profile in LLMs and ML to 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 an AI Researcher (Water & Climate Change AI Solutions) 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 is specialized 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 our private customers as well as for relevant European research projects Check out our portfolio:

Applied Artificial Intelligence - Eurecat (applied-artificial-intelligence-)

Applied Artificial Intelligence Eurecat Technological Centre

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 to our weekly thematic sessions to be aware of Eurecat areas of knowledge. 
• Language's training (English, Catalan and Spanish) 
• Company's commitment to work-life balance 

REQUIREMENTS:

Postgraduate qualifications (e.g., a Master's or PhD) will be considered an advantage for this position, though they are not required.

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.