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Senior Machine Learning Engineer (LLM & GPU Architecture)

European Tech Recruittarragona, catalunya, España

Hace 23 días

Descripción del trabajo

Overview

Senior Machine Learning Engineer (LLM & GPU Architecture)

This is a great opportunity to work with one of the biggest growing tech start-ups based in Spain. They are well-funded and operate as a prominent quantum software company in Europe, delivering practical applications and value with their AI and LLM products across finance, energy, manufacturing, defence, cybersecurity, life sciences, and chemistry.

Responsibilities

Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases across various domains.
Conduct rigorous evaluations and benchmarks of model performance, identify areas for improvement, and fine-tune and optimise LLMs for accuracy, robustness, and efficiency.
Assess strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency.
Act as a domain expert in 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.

Qualifications

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 with Large Language Models and Transformer architectures, or computer vision models.

Hands-on experience using LLM and Transformer models, with proficiency in libraries such as HuggingFace Transformers, Accelerate, Datasets, etc.

Solid mathematical foundations and expertise in deep learning algorithms and neural networks, both training and inference.

Strong problem-solving, debugging, performance analysis, test design, and documentation skills.

Strong understanding of GPU architectures and experience with Python and relevant libraries (PyTorch, HuggingFace, etc.).

Experience with cloud platforms (ideally AWS), containerization (Docker), and deploying AI solutions in a cloud environment.

Excellent written and verbal communication skills and ability to work collaboratively in a fast-paced team environment.

Previous research publications in deep learning are a plus.

Keywords

Large Language Models / LLM / Machine Learning / AI / Quantum Computing / GPU Architecture / GPGPU / GPU Farms / Multi-GPU / AWS / Kubernetes Clusters / DeepSpeed / SLURM / RAY / Transformer Models / Fine-tuning / Mistral / Llama

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Machine Learning Engineer • tarragona, catalunya, España