Machine Learning Engineer For Climate Science
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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.
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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.
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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.
????? ??????: 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
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We offer a full-time contract (35h/week)
a good working environment
a highly stimulating environment with state-of-the-art infrastructure
flexible 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
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