qubitsok.com
Cut Noise. Work Quantum.
Europe, Spain, Madrid
•
Posted 142 days ago
🏢 European Tech Recruit
Role Type
Role Focus
Seniority
Employer Type
This 9-month contract Machine Learning Engineer role in Madrid or Barcelona is with a fast-growing European deep-tech company. The company focuses on making AI models faster, more efficient, and greener using quantum-inspired technology. The engineer will primarily develop and implement advanced techniques for compressing and optimizing Large Language Models (LLMs). This role involves building practical AI applications and improving overall AI model performance across various domains.
Key Responsibilities
Develop and implement advanced techniques for compressing and optimizing Large Language Models (LLMs), applying quantum-inspired approaches to solve complex problems across multiple domains.
Conduct rigorous evaluations of model performance, fine-tuning and enhancing LLMs for accuracy, efficiency, and robustness.
Build practical applications with LLMs, such as RAG systems and AI agents.
Collaborate on model assessment, propose enhancements, and design novel solutions to improve performance.
Work on other deep learning areas, including computer vision, and contribute to custom client solutions.
Required Skills
2+ years of experience designing, training, or fine-tuning deep learning models, ideally transformer-based or computer vision models.
Strong hands-on experience with libraries such as HuggingFace Transformers, Accelerate, and Datasets.
Solid theoretical foundation in deep learning and neural networks.
Experience with GPU architectures, cloud deployment, containerization (Docker), and AI inference environments.
Excellent Python programming skills and familiarity with PyTorch or similar frameworks.
Strong problem-solving, communication, and documentation skills.
Fluent English.
Nice-to-have Skills
AWS cloud deployment experience.
Research publications in AI or related fields.
Technology Tags
The role explicitly involves applying 'quantum-inspired approaches' within machine learning to optimize models and is at the cutting edge of AI and quantum-inspired technology.
The core of the job is as a Machine Learning Engineer, focusing on developing and implementing deep learning models, LLMs, and computer vision techniques.
A primary responsibility is developing and implementing advanced techniques for compressing and optimizing Large Language Models (LLMs).
The job explicitly requires excellent Python programming skills, a fundamental classical programming language.
The role requires strong hands-on experience with specific programming libraries and frameworks such as HuggingFace Transformers, Accelerate, Datasets, and PyTorch.
The job requires experience with cloud deployment, specifically mentioning AWS, and containerization using Docker.
The role involves rigorous evaluations of model performance, fine-tuning for accuracy, efficiency, and robustness.