A fantastic opportunity for Jr / Mid level Machine Learning Engineer to join a fast-growing deep-tech company, which provides hyper-efficient software to global companies across 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 have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies.
Responsibilities
* 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 optimizing 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.
* Participate in code reviews and provide constructive feedback to team members.
Required Qualifications
* Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
* 3+ years of hands-on experience with deep learning models and neural networks, preferably working with Large Language Models and Transformer architectures, or computer vision models.
* 1+ year of hands-on experience using LLM and Transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc.
* Solid mathematical foundations and expertise in deep learning algorithms and neural networks, both training and inference.
* 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 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.
* Fluent in Spanish.
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Company :
European Tech Recruit
Level of experience :
Senior (5+ years of experience)
Tagged as : Industry, Language Modeling, Machine Learning, Neural Networks, NLP, Spain
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