Описание: The Barcelona Supercomputing Center (BSC) is seeking a Machine Learning Engineer to join the Earth Sciences department within the framework of the AI Factory initiative. Задачи: Support the documentation and curation of AI software employed in the AI Factory Support the deployment and maintenance of AI software on MareNostrum5 AI partition Design, implement, and optimize machine learning pipelines for environmental-related applications. Collaborate with domain scientists and external users to develop AI solutions Support users from the AI Factory in accessing and utilizing AI tools and services. Participate in collaborative development within the AI Factory consortium. Participate in technical reporting and scientific publications contributing to the documentation of the AI Factory software, with opportunities to be involved in academic publications and project reporting. Требования: Bachelor's or Master’s in Computer Science, Machine Learning, Data Science, Environmental Sciences, or a related field. Strong programming skills in Python, with experience in machine learning libraries such as PyTorch, Tensorflow, and Scikit-learn. Proven experience in developing and training machine learning models, particularly deep learning architectures. Strong background in handling, analyzing, and validating large-scale datasets. Experience working in a UNIX-based computational environment. Strong problem-solving and analytical skills,



with the ability to optimize computational workflows. Ability to work independently while collaborating effectively in a research environment. Excellent communication skills, with a strong ability to document and present research findings. xqbhyrx Proficiency in written and spoken English. Будет плюсом: Familiarity with climate, weather, and Earth system datasets (NetCDF, Zarr); Experience in high-performance computing (HPC) and parallelized machine learning workflows; Proficiency in GPU-accelerated machine learning frameworks such as TensorFlow, RAPIDS, JAX, and/ or distributed training using Dask; Understanding of climate and weather models Условия:

We offer
a full-time contract (35h/week) a good working environment a highly stimulating environment with state-of-the-art infrastructure versátil

working hours
extensive training plan restaurant tickets private health insurance support to the relocation procedures Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement

Salary:

we offer
a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona Starting date: As soon as possible

📌 Machine learning engineer for climate science (España)
🏢 Barcelona Supercomputing Center
📍 España