Senior Machine Learning Engineer, Zaragoza

Jordan martorell s.l.; Zaragoza; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A European deep-tech leader in quantum and AI is seeking a Senior Machine Learning Engineer in Zaragoza. The role involves designing and implementing data strategies for LLM training, developing scalable pipelines, and collaborating with various teams. Candidates should hold a Master's or Ph.D. in a relevant discipline and have over 4 years of experience in machine learning, focusing on NLP or LLMs. This hybrid role offers competitive salary, bonuses, and flexible working hours.

Servicios

Competitive salary

Signing and retention bonuses

Fixed-term contract with possibility of becoming permanent

Flexible working hours

Participation in technology innovation

Formación

• 4+ years of experience in data science, machine learning, or related fields with a focus on NLP or LLMs.
• In-depth knowledge of large foundational model architectures and their lifecycle.
• Fluency in English and Spanish.

Responsabilidades

• Design and implement strategies for creating datasets for LLM training.
• Develop scalable pipelines for data collection and validation.
• Collaborate with teams to prepare LLMs and conduct model evaluations.
• Mentor engineers and contribute to documentation and standards.

Conocimientos

Machine Learning

Python

Data Science

Natural Language Processing

Data Quality Metrics

Distributed Computing

English

Spanish

Educación

Masters or Ph.D. in Computer Science, AI, Data Science, Physics, Math or equivalent

Herramientas

Pandas

NumPy

Hugging Face Datasets

Transformers libraries

vLLM

TensorRT

NeMo

Git

Descripción del empleo

Senior Machine Learning Engineer

Perfil buscado (Hombre/Mujer):

• Design and implement strategies for creating, sourcing, and augmenting datasets tailored for LLM training and fine‑tuning.
• Develop scalable pipelines to collect, clean, filter, annotate, and validate large volumes of text data, ensuring quality and ethical compliance.
• Collaborate with ML engineers, researchers, and software engineers to achieve ambitious goals in the preparation of LLMs and complementary work such as dataset preparation, model evaluation, and model serving.
• Develop and integrate new routines for modifying and enhancing LLMs, extending their functionality.
• Make effective use of distributed compute resources and clusters (GPUs), identifying opportunities for further optimization.
• Lead the end‑to‑end preparation of compressed and specialized LLMs for use in production.
• Stay current with research trends in LLM foundation models, dataset curation, pre‑training data, and benchmarking.
• Contribute to documentation, development standards, and maintain a healthy shared code base.
• Mentor other engineers and share knowledge of cutting‑edge techniques.

You will join a European deep‑tech leader in quantum and AI, in a hybrid role based in Zaragoza.

Qualifications

• Masters, or Ph.D. in Computer Science, AI, Data Science, Physics, Math, or a related field (or equivalent industry experience).
• 4+ years of experience in data science, machine learning, or related roles, with demonstrated experience with NLP or LLMs.
• In‑depth knowledge of large foundational model architectures (language and multimodal models) and their lifecycle: training, fine‑tuning, alignment, and evaluation.
• Proficiency in Python and data tooling ecosystems (Pandas, NumPy, Hugging Face Datasets, Transformers libraries).
• Hands‑on experience with text data collection from diverse sources: web scraping, APIs, proprietary corpora, etc.
• Strong understanding of data quality metrics including bias detection, toxicity, and readability.
• Experience in large shared distributed computing environments and familiarity with tools for hardware optimization (vLLM, TensorRT, NeMo, etc.).
• Experience with version control (git), unit testing, and core software development practices.
• Fluency in English and Spanish.

Compensation & Benefits

• Competitive salary.
• Two unique bonuses: signing and retention.
• Fixed‑term contract with possibility of becoming permanent.
• Hybrid role and flexible working hours.
• Opportunity to be part of an organization focused on technology innovation.

Keywords: Machine Learning, LLM, Python, Pandas, NumPy, Hugging