Senior Machine Learning Engineer

Job Overview

We are seeking a skilled and experienced Senior Machine Learning Engineer with a strong background in Large Language Models to join our team. 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 working 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.
• 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 recommend new tools and technologies as appropriate.

Required Qualifications

• Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
• 5+ years of hands-on experience with deep learning models and neural networks working with Large Language Models or computer vision models, preferably with experience in Transformers.
• 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 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.
• Fluent in Spanish and English.

Preferred Qualifications

• Proven experience (4+ years) delivering successful AI-driven projects in an industrial environment.
• Experience running large-scale workloads in high-performance computing (HPC) clusters.
• Experience in DevOps/MLOps practices in deep learning product development.
• Experience in handling large datasets and ensuring data quality.
• Experience with inference and deployment environments (TensorRT, vLLM, etc.).
• Experience in accuracy evaluation of LLMs (OpenLLM Leaderboard).
• Experience building and evaluating RAG systems.
• Familiarity with AI ethics and responsible AI practices.

Perks and Benefits

• Indefinite contract.
• Equal pay guaranteed.
• Variable performance bonus.
• Signing bonus.
• Work visa sponsorship (if applicable).
• Relocation package (if applicable).
• Private health insurance.
• Eligibility for educational budget according to internal policy.
• Hybrid opportunity.
• Flexible working hours.
• Language classes and discounted lunch options.
• Working in a high-paced environment, working on cutting-edge technologies.
• Career plan.
• Opportunity to learn and teach.
• Progressive company.
• Happy people culture.

Come and join our multicultural team!