Senior LLM / Machine Learning Engineer (AI / ML / Quantum) - Visas Supported

European Tech Recruit; Andosilla; Presencial; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A leading tech company in Spain seeks an experienced Machine Learning Engineer to drive the development of advanced language models utilizing quantum computing and AI. This role involves collaboration with cross-functional teams, offering a chance to work on innovative projects and impact the evolution of LLM and NLP technologies.

Formación

• 4+ years of hands-on experience with deep learning models.
• Experience with fine-tuning, pruning, and optimization of models.
• Research experience in large language models (LLMs).

Responsabilidades

• Lead the design, implementation, and improvement of language models.
• Integrate models into products and work on challenging projects.
• Contribute to innovative research in LLM and NLP technologies.

Conocimientos

Machine Learning

Artificial Intelligence

Natural Language Processing

Problem Solving

Performance Analysis

Documentation

Educación

Master's or Ph.D. in relevant fields

Herramientas

Python

PyTorch

HuggingFace

AWS

Docker

Descripción del empleo

A fantastic career opportunity for an experienced Machine Learning Engineer to join a fast-growing deep-tech company that provides hyper-efficient software to clients in finance, energy, manufacturing, and cybersecurity, helping them gain an edge with quantum computing and artificial intelligence.

Job Overview

In this role, you will leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of our language models. You will work closely with cross-functional teams to integrate these models into our products. This position offers the chance to work on challenging projects, contribute to innovative research, and shape the future of LLM and NLP technologies alongside our team in San Sebastian, Spain.

Required Qualifications

• Master's or Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, Data Science, or related fields.
• At least 4 years of hands-on experience with deep learning models and industry experience.
• Research experience in the field of large language models (LLMs).
• Experience developing or building LLMs from scratch.
• Strong background in machine learning technologies, especially natural language processing and large language models.
• Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
• Experience with fine-tuning, pruning, and optimization of models.
• Background in deep learning R&D.
• Proficiency in Python and experience with relevant libraries such as PyTorch and HuggingFace.
• Experience with cloud platforms (preferably AWS), containerization technologies (Docker), and deploying AI solutions in cloud environments.

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