Jr / Mid Level Machine Learning Engineer (LLM / AI) - Hybrid

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., * 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.

• Bachelors / Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
• 1+ years of hands-on experience with deep learning models and neural networks, preferably working with Large Language Models and Transformer architectures, or computer vision models.
• 1+ year of hands-on experience using LLM and Transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc.
• Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
• 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.

• This is initially a Fixed Term Contract - Hybrid from Zaragoza, Madrid or Barcelona