Overview
Senior Machine Learning Engineer (LLM & GPU Architecture)
This is a great opportunity to work with one of the biggest growing tech start-ups based in Spain. They are well-funded and one of the most well-known quantum software companies in Europe. They provide hyper-efficient software to help companies gain an edge with quantum computing and artificial intelligence across finance, energy, manufacturing, defence, cybersecurity, life sciences, and chemistry, delivering practical applications and tangible value with their AI & LLM product.
In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of our language models, and work closely with cross-functional teams to integrate these models into our products. You will work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies.
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, identify areas for improvement, and fine-tune and optimise LLMs for enhanced accuracy, robustness, and efficiency.
- Assess 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.
Qualifications
- D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
- 3+ 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.
- Solid mathematical foundations and expertise in deep learning algorithms and neural networks, both training and inference.
- Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
- Strong understanding of 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 deploying AI solutions in a cloud environment.
- Familiarity with terms such as Large Language Models / LLM / Machine Learning / AI / Quantum Computing / GPU Architecture / GPGPU / GPU Farms / Multi-GPU / AWS / Kubernetes Clusters / DeepSpeed / SLURM / RAY / Transformer Models / Fine-tuning / Mistral / Llama.
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📌 Quantum Machine Learning : Engineer
🏢 European Tech Recruit
📍 Santiago de Compostela