Machine Learning Engineer (LLM)
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At The Cornerstone Talent, we are looking for the best talent to join our client's team.
An advanced technology company working with quantum computing is seeking a Machine Learning Engineer (LLM) to join their team at the San Sebastián office.
Responsibilities:
An advanced technology company working with quantum computing is seeking a Machine Learning Engineer (LLM) to join their team at the San Sebastián office.
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.
- Share your knowledge and expertise with the team to foster a culture of continuous learning, guiding junior members of the team in their technical growth and helping them develop their skills in LLM development.
- Participate in code reviews and provide constructive feedback to team members.
- Stay up to date with the latest advancements and emerging trends in LLMs and recommend new tools and technologies as appropriate.
- Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
- 3+ 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."
- Strong understanding with the fundamentals of GPU architectures.
- 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
- Previous research publications in deep learning is a plus.
- Fluent in English.
- Permanent contract.
- Relocation package and work permit management, if necessary.
- Growth opportunity and work with cutting-edge technologies.
- Flexible work environment (hybrid).
Post Date
2025-01-16
Job Type
REMOTE, RELOCATION
Employment type
Full-time
Category
Engineering, Information Technology
Level
Entry
Country
Spain
Industry
Staffing , Recruiting ,
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