Barcelona
LLM Engineer European Tech Recruit are working closely with an exciting AI and Quantum Computing company, based in Barcelona, who are looking for a number of talented LLM Engineers to join their team. In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of language models, as well as working closely with cross-functional teams to integrate these models into data products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies. Responsibilities as LLM Engineer: • Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains., • Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency., • Use your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency., • Act as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation., • Maintain comprehensive documentation of LLM development processes, experiments, and results., • Share your knowledge and expertise with the team to foster a culture of continuous learning, guiding junior members of the team in their technical growth and helping them develop their skills in LLM development., • Participate in code reviews and provide constructive feedback to team members., • Stay up to date with the latest advancements and emerging trends in LLMs and recommend new tools and technologies as appropriate. Requirements: • Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields., • Mid: 2+ years of hands-on experience with designing, training or fine-tuning transformer models., • Senior: 5+ years of hands-on experience with designing, training or fine-tuning transformer and other deep learning models (e.g. computer vision)., • 2+ year of hands-on experience using LLM and Transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc.", • Solid mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, both training and inference., • Excellent problem-solving, debugging, performance analysis, test design, and documentation skills., • Strong understanding with the fundamentals of GPU architectures., • Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.)., • Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment, • Excellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively., • Previous research publications in deep learning is a plus., • Fluent in English. If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to . By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ()