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Machine learning engineer - hybrid remote

Marzán (Provincia de León)
European Tech Recruit
Publicada el Publicado hace 2 hr horas
Descripción

We are looking for a talented and experienced Machine Learning Engineer with expertise in Large Language Models to join our clients team in Spain!

This role offers the opportunity to work with cutting-edge quantum and AI technologies, spearheading the design, implementation, and enhancement of our language models. Develop advanced techniques for compressing Large Language Models using quantum-inspired technologies to address complex problems across various domains.
Perform rigorous evaluations and benchmarks to assess model performance, identify areas for enhancement, and optimize LLMs for improved accuracy, robustness, and efficiency.
Leverage your expertise to analyze model strengths and weaknesses, propose improvements, and devise innovative solutions to boost performance and efficiency.
Serve as a subject matter expert in LLMs, addressing domain-specific challenges and exploring opportunities for quantum AI-driven innovation.
Share knowledge within the team, foster continuous learning, mentor junior team members, and support their growth in LLM development.
D. in Artificial Intelligence, Computer Science, Data Science, or a related field.
~3+ years of hands-on experience with deep learning models and neural networks, particularly in working with Large Language Models, Transformer architectures, or computer vision models.
~ Strong mathematical foundation and deep knowledge of deep learning algorithms and neural networks, covering both training and inference.
~ Proficient in problem-solving, debugging, performance analysis, test design, and documentation.
~ Excellent Python programming skills and experience with libraries like PyTorch and HuggingFace.
~ Familiarity with cloud platforms (preferably AWS), containerization tools like Docker, and deploying AI solutions in cloud environments.
~ Fluent in English and Spanish is a must.


By applying to this role you understand that we may collect your personal data and store and process it on our systems.

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