Jr/Mid Level Machine Learning Engineer (LLM/AI) - Hybrid
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Principal Consultant | Semiconductor, Automotive, Software Engineering
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.
This is initially a Fixed Term Contract until June 30th 2026 - Hybrid from 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.
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.

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Seniority level

Associate

Employment type

Temporary

Job function

Design, Engineering, and Information Technology
Software Development, IT System Custom Software Development, and IT System Data Services

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