Machine Learning Engineer

European Tech Recruit; Sax; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading technology recruitment firm is seeking a talented Machine Learning Engineer to join our client's team in Spain. This position involves developing advanced techniques for Large Language Models using cutting-edge quantum technologies, collaborating with cross-functional teams, and addressing complex challenges in AI and NLP. The ideal candidate possesses a Master's or Ph.D. and has at least 3 years of experience in deep learning, particularly with Transformer architectures. Fluency in English and Spanish is required.

Formación

• 3+ years of hands-on experience with deep learning models and neural networks.
• At least 1 year of experience with LLMs and Transformer models.
• Strong mathematical foundation and deep knowledge of deep learning algorithms.

Responsabilidades

• Develop advanced techniques for compressing Large Language Models using quantum-inspired technologies.
• Perform evaluations and benchmarks to optimize LLMs for improved accuracy.
• Mentor junior team members and support their growth in LLM development.

Conocimientos

Deep learning models

Large Language Models (LLMs)

Transformer architectures

Python programming

Problem-solving

Educación

Master’s or Ph.D. in Artificial Intelligence, Computer Science, Data Science

Herramientas

HuggingFace Transformers

PyTorch

Docker

AWS

Descripción del empleo

We are looking for a talented and experienced Machine Learning Engineer with expertise in Large Language Models to join our clients team in Spain!

Si le interesa solicitar este empleo, por favor, asegúrese de cumplir los siguientes requisitos que se enumeran a continuación.

This role offers the opportunity to work with cutting-edge quantum and AI technologies, spearheading the design, implementation, and enhancement of our language models. You will collaborate with cross-functional teams to seamlessly integrate these models into our products, tackle complex challenges, contribute to innovative research, and help shape the future of LLM and NLP technologies.

Responsibilities

• Develop advanced techniques for compressing Large Language Models using quantum-inspired technologies to address complex problems across various domains.
• Perform rigorous evaluations and benchmarks to assess model performance, identify areas for enhancement, and optimize LLMs for improved accuracy, robustness, and efficiency.
• Leverage your expertise to analyze model strengths and weaknesses, propose improvements, and devise innovative solutions to boost performance and efficiency.
• Serve as a subject matter expert in LLMs, addressing domain-specific challenges and exploring opportunities for quantum AI-driven innovation.
• Maintain detailed documentation of LLM development processes, experiments, and findings.
• Share knowledge within the team, foster continuous learning, mentor junior team members, and support their growth in LLM development.
• Participate in code reviews and offer constructive feedback to peers.
• Stay informed about the latest advancements and trends in LLMs, recommending relevant tools and technologies.

Qualifications

• A Master’s or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or a related field.
• 3+ years of hands-on experience with deep learning models and neural networks, particularly in working with Large Language Models, Transformer architectures, or computer vision models.
• At least 1 year of practical experience with LLMs and Transformer models, with proficiency in libraries such as HuggingFace Transformers, Accelerate, and Datasets.
• Strong mathematical foundation and deep knowledge of deep learning algorithms and neural networks, covering both training and inference.
• Proficient in problem-solving, debugging, performance analysis, test design, and documentation.
• Solid understanding of GPU architectures and their applications.
• Excellent Python programming skills and experience with libraries like PyTorch and HuggingFace.
• Familiarity with cloud platforms (preferably AWS), containerization tools like Docker, and deploying AI solutions in cloud environments.
• Strong written and verbal communication skills with the ability to work collaboratively in a dynamic team environment and convey complex ideas effectively.
• Research publications in deep learning are a plus.
• Fluent in English and Spanish is a must.

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