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Jr/Mid Level Machine Learning Engineer (LLM/AI) - Hybrid
Jr/Mid Level Machine Learning Engineer (LLM/AI) - HybridEuropean Tech Recruit • España
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Jr / Mid Level Machine Learning Engineer (LLM / AI) - Hybrid

Jr / Mid Level Machine Learning Engineer (LLM / AI) - Hybrid

European Tech Recruit • España
Hace 9 días
Descripción del trabajo

Machine Learning Engineer (LLM)

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 - Hybrid from Zaragoza, Madrid or Barcelona

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.
  • 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 (

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