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!
Benefits Extracted with AI
- Medical insurance
- Indefinite contract
- Equal pay guaranteed
- Variable performance bonus
- Signing bonus
- Work visa sponsorship
- Relocation package
- Private health insurance
- Educational budget
- Flexible working hours
- Language classes
- Discounted lunch options
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