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

European Tech Recruit
Boiro, Spain
8 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Boiro, Spain

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Artificial Neural Networks
Computer Vision
Code Review
Computer Security
Computer Programming
Software Debugging
Python
Machine Learning
Quantum Computing
PyTorch
Large Language Models
Deep Learning
Containerization
Information Technology
HuggingFace
Docker

Job description

Machine Learning Engineer (LLM) 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

Requirements

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. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/).

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