Machine Learning Engineer - (LLM/Large Language Models) - Zaragoza

European Tech Recruit; Madrid; Híbrido; EUR 55.000 - 85.000; A tiempo parcial

Descripción de la vacante

A dynamic technology company is seeking a Junior/Mid-level Machine Learning Engineer to join their team in Zaragoza. The role involves designing techniques to improve Large Language Models using innovative quantum technologies. Candidates should have at least 2 years of experience in deep learning, excellent Python programming skills, and familiarity with libraries like HuggingFace and PyTorch. This is a temporary, hybrid position that offers the chance to work at the forefront of AI development.

Formación

• 2+ years of hands-on experience with deep learning models.
• 1+ year of experience using LLM and Transformer models.
• Excellent programming skills in Python.
• 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.

Responsabilidades

• Design and develop techniques to compress Large Language Models.
• Conduct evaluations of model performance and fine-tune LLMs.
• Propose enhancements and develop solutions to improve performance.
• 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.

Conocimientos

Deep learning models

Neural networks

Python programming

Problem-solving

Communication skills

Educación

Bachelor’s/Master’s or Ph.D. in AI, Computer Science, or related fields

Herramientas

HuggingFace Transformers

PyTorch

Docker

AWS

AWS

Descripción del empleo

Machine Learning Engineer - (LLM/Large Language Models) - Zaragoza

A fantastic opportunity for Jr/Mid level 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.

This is initially a Fixed Term Contract until June 30th 2026 - Hybrid in Zaragoza

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.

Required Qualifications

• Bachelors/Master’s or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
• 2+ 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.

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Seniority level

• Mid‑Senior level

Employment type

• Temporary

Job function

• Design, Engineering, and Information Technology

Industries

• IT System Custom Software Development, Software Development, and IT Services and IT Consulting