Mid/Senior Level Machine Learning Engineer (LLM/AI) - Hybrid from Zaragoza - European Tech Recruit
hace 2 días
Zaragoza
Machine Learning Engineer (LLM) A fantastic opportunity for a driven Machine Learning Engineer to join fast-growing deep-tech company, who provide hyper-efficient software to global companies across finance, energy, manufacturing and cybersecurity to gain an edge with quantum computing and artificial intelligence. You will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of our language models, as well as working closely with cross-functional teams to integrate these models into our products. You will get to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies. Hybrid working from Sites in Madrid, Barcelona, Zaragoza or San Sebastian Responsibilities • 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., • Participate in code reviews and provide constructive feedback to team members. Qualifications • 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)., • 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. 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 ().
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