Machine Learning Engineer

Reference: 50026 ESCES RE1 Job title: Machine Learning Engineer (RE1-2) – AI Factory (Earth Sciences Department)

About BSC

The Barcelona Supercomputing Center
- Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC

experience:
BSC-CNS YouTube Channel Let's stay connected with BSC Folks We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured. We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences. If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.

Context And Mission

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. The AI Factory is a major European project aimed at accelerating the adoption and development of artificial intelligence across industry sectors that is deploying a comprehensive set of AI-focused services, including robust training, networking, and innovation support structures. Its mission is to foster the uptake and effective use of AI, particularly among SMEs and startups across participating countries, and to strengthen the European innovation ecosystem. These services are powered by the AI-specific partition of the MareNostrum5 supercomputer, one of the most advanced infrastructures in Europe, designed to meet the evolving AI needs by harnessing the latest AI-oriented computing technologies. Within the Earth Sciences department, the selected candidate will support the development and deployment of AI services related to climate change use and test cases, contributing to real-world applications and scientific advancements. Additionally, the selected candidate will be coordinating the availability and integration of AI software, developed internally by consortium members or externally by third parties, on the MareNostrum5 AI partition, ensuring smooth support for the wider AI Factory user community. This project is funded by the European Union’s Recovery and Resilience Facility, in accordance with Council Regulation (EU) 2020/2094 of 14 December 2020, and regulated by Regulation (EU) 2021/241 of the European Parliament and of the Council of 12 February 2021, in the context of the “BSC AI Factory” project. This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No and Spain, Portugal, Romania and Türkiye. The JU receives support from the European Union’s Horizon Europe Programme. It is also co-funded by the Spanish Ministry for Digital Transformation and the Civil Service and counts with the support of the Government of Catalonia. ()( aifactory-definitive
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Key Duties

• 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.

Requirements

• Education
• Bachelor's or Master’s in Computer Science, Machine Learning, Data Science, Environmental Sciences, or a related field. <