Senior Machine Learning Engineer - LLM & NLP

The Cornerstone Talent is looking for the best talent to join our team client.

A deep-tech company who works with Quantum Computing is looking for a Senior Machine Learning Engineer with experience in LLM & NLP projects, to join their team based in San Sebastián office.

Responsibilities:

• Research, design, and develop Large Language Models based on quantum technologies to solve challenging use cases in various domains.
• Act as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation.
• Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising 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.
• 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 NLP, and recommend new tools and technologies as appropriate.

Requirements:

• Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
• 3+ years of experience in NLP, with a solid understanding of NLP concepts, such as word embeddings, attention mechanisms, and sequence-to-sequence models.
• Strong experience in working with Large Language Models, preferably with hands-on experience in Transformers.
• Excellent programming skills in Python and experience with relevant libraries (TensorFlow, PyTorch, etc.).
• Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment.
• Excellent problem-solving skills and ability to work collaboratively in a team environment and communicate complex ideas effectively.
• Previous research publications in NLP or related fields is a plus.

Preferred Qualifications

• Proven experience (4+ years) delivering successful AI-driven projects in an industrial or research environment.
• Experience in data engineering and handling large datasets and ensuring data quality.
• Familiarity with AI ethics and responsible AI practices.

Perks & Benefits:

• Permanent contract.
• Relocation package (if applicable).
• Opportunity to be part of the phantom shares programme.
• Holidays: 23 working days plus 14 public holidays (2023).
• Potential to grow into long-term opportunities.
• Working in a high paced environment, working on cutting edge technologies.
• Opportunity to learn and teach.
• A mix of remote and office work – A minimum of 3 days office work is required.
• Private health insurance.
• Progressive Company. Happy people culture.
• Competitive salary.