Senior Machine Learning EngineerPerfil 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, ethical compliance, etc. Collaborate with ML engineers, researchers, and software engineers to achieve ambitious goals in the preparation of LLMs and complementary work (preparing datasets, model evaluation, model serving, etc.). Develop and integrate new routines for modifying and enhancing LLMs, and extending their functionality. Make effective use of distributed compute resources and clusters (GPUs), identify opportunities for further optimization. End-to-end preparation of compressed and specialized LLMs for use in production. Keep up to date with research trends in LLM foundation models, dataset curation, LLM pretraining data, and benchmarking. Contribute to building documentation, development standards, and a healthy shared code base. Mentor other engineers and provide knowledge sharing of cutting-edge techniques. European deep-tech leader in quantum and AI Hybrid Role (Zaragoza city). Fluency in English and Spanish. A successful Senior Machine Learning Engineer (Product) should have: 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. Proficient 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 working in large shared distributed computing environments, familiarity with relevant tools for hardware optimization (vLLM, TensorRT, NeMo, etc.). Experience with version control (git), unit testing, and other fundamental aspects of software development. Fluency in English and Spanish European deep-tech leader in quantum and AI Competitive salary + Two unique bonus (signing and retention) Fixed-term contract (possibility of becoming permanent) Hybrid role and flexible working hours. Chance to be part of organization with a focus on technology innovation. Machine Learning, LLM, Python, Pandas, NumPy, Hugging