Work Mode: Hybrid (3 days from office, 2 day remote) Job Overview We are seeking a skilled and experienced Machine Learning Engineer with a strong background in Large Language Models to join our 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 our language models, as well as working closely with cross-functional teams to integrate these models into our 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. Required minimum

Qualifications:
* Bachelor's, Master's or Ph.
D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
* 5+ years of hands-on experience with designing, training or fine-tuning deep learning models, preferably working with transformer or computer vision models.
* 5+ year of hands-on experience using transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc."
* Solid mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, both training and inference.
* Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
* Strong understanding with the fundamentals of GPU architectures and LLM hardware/ software infrastructures.
* 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 or any tech field is a plus As a Machine Learning Engineer, you will
* 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.
* Build LLM based applications such as RAG and AI agents.
* 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.
* Design, train and deliver custom deep learning models for our clients
* Work in diverse areas beyond LLM, e.g., computer vision.
* 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. Perks and Benefits
* Signing bonus.
* Relocation package (if applicable).
* Private health insurance.
* Eligibility for educational budget according to internal policy.
* Language classes and discounted lunch options
* Working in a high paced environment, working on cutting edge technologies. #J-18808-Ljbffr

📌 Machine Learning Engineer (Bilbao)
🏢 RemoteStar
📍 Bilbao