Machine Learning Engineer For Climate Science (Madrid)

Machine Learning Engineer For Climate Science (Madrid)

09 nov
|
Barcelona Supercomputing Center
|
Madrid

09 nov

Barcelona Supercomputing Center

Madrid

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 FactorySupport the deployment and maintenance of AI software on MareNostrum5 AI partitionDesign, implement, and optimize machine learning pipelines for environmental-related applications.Collaborate with domain scientists and external users to develop AI solutionsSupport 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.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 modelsУсловия:We offer a full-time contract (35h/week)a good working environmenta highly stimulating environment with state-of-the-art infrastructureflexible working hoursextensive training planrestaurant ticketsprivate health insurancesupport to the relocation proceduresDuration: Open-ended contract due to technical and scientific activities linked to the project and budget durationHolidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreementSalary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in BarcelonaStarting date: As soon as possible#J-18808-Ljbffr

📌 Machine Learning Engineer For Climate Science (Madrid)
🏢 Barcelona Supercomputing Center
📍 Madrid

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