Senior Machine Learning Engineer (LLM)

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 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.

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 us.