Senior Machine Learning Engineer (LLM)

European Tech Recruit; Donostia/San Sebastián; Presencial; EUR 50.000 - 90.000; Jornada completa

Descripción de la vacante

An exciting quantum software company is seeking a Senior Machine Learning Engineer to lead the development of innovative language models. In this hybrid role, you will utilize cutting-edge quantum and AI technologies to design and enhance models, working collaboratively with cross-functional teams. Your expertise will drive advancements in natural language processing and large language models, while also mentoring junior team members. This position offers a unique opportunity to be at the forefront of AI-driven innovation, making a significant impact in a dynamic and fast-paced environment. If you are passionate about technology and eager to contribute to groundbreaking projects, this role is for you.

Formación

• 4+ years of experience with deep learning models and ML technologies.
• Strong background in natural language processing and LLMs.
• Excellent programming skills in Python with relevant libraries.

Responsabilidades

• Design and develop techniques to compress Large Language Models.
• Conduct evaluations and benchmarks of model performance.
• Guide junior team members in LLM development.

Conocimientos

Deep Learning

Natural Language Processing

Problem-Solving

Performance Analysis

Documentation Skills

Communication Skills

Educación

Master's in Machine Learning

Ph.D. in Artificial Intelligence

Herramientas

Python

PyTorch

HuggingFace

AWS

Docker

Descripción del empleo

Senior Machine Learning Engineer (LLM) Donostia-San Sebastian

European Tech Recruit are working closely with an exciting quantum software company, based in San Sebastian, who are looking for a Senior Machine Learning Engineer (LLM) to join their team.

In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of language models, as well as working closely with cross-functional teams to integrate these models into various products.

This role can offer a hybrid work arrangement with 3 days onsite and 2 days WFH per week.

Responsibilities as Senior Machine Learning Engineer (LLM):

• 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.

Requirements:

• Master's or Ph. D. in Machine Learning, Artificial Intelligence, Computer Science, Data Science, or related fields.
• 4+ years of hands-on experience with deep learning models and Industry experience - Strong background and hands-on experience with different ML technologies, especially natural language processing and large language models.
• Proven experience with Yolo, Llama, Claude, Mistral, or Falcon is a huge plus.
• Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
• 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.
• 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.

If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to us.

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