Are you a Machine Learning Engineer with a background in Large Language Models that is looking for a new role at an award winning, highly funded deep tech startup?
At European Tech Recruit we are currently working alongside a market leader in Quantum Software that are 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.
Required Qualifications:
* 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.
Preferred Qualifications:
* Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields with research experience in LLMs.
* Expertise in unsupervised machine learning for time series analysis.
* Experience training and deploying deep learning models in cloud environments.
If this role interests you then please apply here or send your CV directly to je@eu-recruit.com
* By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/)