Senior Machine Learning Engineer (LLM & GPU Architecture)

European Tech Recruit; Alicante; Presencial; EUR 65.000 - 85.000; Jornada completa

Descripción de la vacante

A leading quantum software company in Spain is seeking a Senior Machine Learning Engineer to leverage AI technologies for developing innovative language models. The role involves designing cutting-edge solutions, evaluating performance, and collaborating with cross-functional teams. The ideal candidate holds a Master’s or Ph.D., has 3+ years in deep learning, and possesses strong programming skills in Python. Competitive package offered.

Formación

• 3+ years of hands-on experience with deep learning models.
• Experience with LLM and Transformer models is essential.
• Strong programming skills in Python are required.

Responsabilidades

• Design and develop techniques for compressing Large Language Models.
• Conduct evaluations and benchmarks of model performance.
• Propose enhancements to improve model performance.

Conocimientos

Deep learning models

Neural networks

Large Language Models

GPU architectures

Python

Problem-solving

Communication skills

Educación

Master’s or Ph.D. in AI, Computer Science, or related fields

Herramientas

HuggingFace Transformers

PyTorch

AWS

Docker

Descripción del empleo

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 are a leading quantum software company in Europe, providing hyper-efficient software to help clients gain an edge with quantum computing and artificial intelligence across finance, energy, manufacturing, defence, cybersecurity, life sciences, and chemistry, delivering practical applications and tangible value with their AI & LLM product.

In this role you will leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of language models, and work closely with cross-functional teams to integrate these models into products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies.

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 optimize LLMs for enhanced 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.

Required 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 excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc.
• Solid mathematical foundations and expertise in deep learning algorithms and neural networks, both training and inference.
• Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
• Strong understanding 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 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.
• Previous research publications in deep learning is a plus.

Key Words

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

Privacy Notice

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/).