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Machine Learning Innovator
hace 2 semanas
European Tech Recruit is helping a market leader in Quantum Software to find an experienced LLM Machine Learning Engineer to join their team.
About the Company:The company is an award-winning, highly funded deep tech startup that is making recent strides in the AI space, helping them to bring on board an LLM Machine Learning Engineer.
Responsibilities:- Develop and implement innovative techniques to compress Large Language Models (LLMs) using quantum-inspired technologies, addressing complex challenges across various domains.
- Conduct thorough evaluations and benchmarking of model performance, identifying areas for improvement, and optimizing LLMs for enhanced accuracy, robustness, and efficiency.
- Leverage your expertise to assess model strengths and weaknesses, propose improvements, and create novel solutions to enhance performance and efficiency.
- Serve as a subject matter expert in LLMs, understanding domain-specific challenges and identifying opportunities for quantum AI-driven advancements.
- Document LLM development processes, experiments, and results comprehensively.
- Share expertise with the team to promote continuous learning, mentor junior members in LLM development, and support their technical skill growth.
- Participate in code reviews, offering constructive feedback to peers.
- Stay current with advancements and emerging trends in LLMs, recommending new tools and technologies as appropriate.
- Master's or Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, Data Science, or a related field.
- 4+ years of hands-on experience working with deep learning models in an industry setting.
- Solid expertise in various ML technologies, particularly natural language processing and large language models.
- Familiarity with frameworks like Yolo, Llama, Claude, Mistral, or Falcon is highly desirable.
- Exceptional problem-solving, debugging, performance analysis, test design, and documentation skills.
- Strong knowledge of GPU architectures and their fundamentals.
- Proficient in Python programming and experienced with libraries such as PyTorch and Hugging Face.
- Experience with cloud platforms (preferably AWS), containerization tools (Docker), and deploying AI solutions in cloud environments.
- Excellent written and verbal communication skills, with a proven ability to collaborate effectively in fast-paced team settings and communicate complex ideas clearly.
- Research publications in deep learning are a plus.
- Fluency in English.
