PhD Researcher in Artificial Intelligence, specialized in LLMs & ML

Eurecat; Barcelona; Híbrido; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A leading technology research center in Barcelona is seeking a highly motivated engineer specializing in Machine Learning and Large Language Models (LLMs). The role involves designing innovative AI solutions, conducting cutting-edge research, and ensuring efficient deployment of ML technologies. A PhD and at least one year of relevant experience are required. This position offers a permanent contract with a hybrid work model, flexible hours, and various employee benefits.

Servicios

Permanent contract

Hybrid work

Flexible Schedule

Flexible remuneration package

Language training

Formación

• Minimum of 1 year of experience in LLM development.
• Solid knowledge of classical ML algorithms and Deep Learning architectures.
• Proficiency in Python and experience with ML/NLP libraries.

Responsabilidades

• Design and implement LLM-based solutions.
• Develop and benchmark Agentic AI and RAG solutions.
• Conduct research in NLP and generative AI.

Conocimientos

LLM development

Machine Learning

Python

NLP

Dynamic communication skills

Educación

PhD in ML, AI, NLP, Computer Science or related fields

Herramientas

TensorFlow

PyTorch

scikit-learn

Hugging Face Transformers

OpenAI API

Descripción del empleo

Overview

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.

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!

Responsibilities

• 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-eurecat.github.io)

Applied Artificial Intelligence Eurecat Technological Centre

Benefits

• 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 be aware of Eurecat areas of knowledge.
• Language training (English, Catalan and Spanish)
• Company's 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.