Senior Machine Learning Engineer (LLM/Fine Tuning/ NLP) - Spanish Speaking - Visas Supported

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European Tech Recruit

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Other

EU work permit required:

Yes

Job Reference:

180994158838677504032460

Job Views:

1

Posted:

31.03.2025

Expiry Date:

15.05.2025

Job Description:

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

Job Overview

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

Required Qualifications

• 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.
• Research experience in the field of LLMs.
• 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 of 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 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.
• Fluent in Spanish.

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