Senior Machine Learning Engineer

Ingeniero/as y técnicos (Industrial, Mecánico y Electricidad)

¿Qué buscamos?
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 with 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 with 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.
Previous research publications in deep learning is a plus.
Fluent in Spanish and English.

¿Qué te ofrecemos?
Perks and Benefits¡

Indefinite contract.
Equal pay guaranteed.
Variable performance bonus.
Signing bonus.
We offer 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

Formación academica
Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.

Formación específica
As a Senior Machine Learning Engineer, you will 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 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. 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.

Nivel de idiomas requerido: Spanish and English

Experiencia en funciones similares: Más de 3 años

Competencias:
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.

Senior Machine Learning Engineer

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