Machine Learning Senior Engineer

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

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