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A leading research center in Spain is seeking an experienced MLOps engineer to automate ML development and deployment. The role involves designing CI/CD processes, maintaining ML pipelines, and ensuring model performance in a high-performance computing environment. Ideal candidates will have a Bachelor's degree in Computer Science or related fields and experience with automation tools, cloud technologies, and containerization.
Organisation / Company : BARCELONA SUPERCOMPUTING CENTER
Research Field : All
Profile : Recognised Researcher (R2), Bachelor Positions
Country : Spain
Application Deadline : 14 May 2025 - 23 : 59 (Europe / Madrid)
Type of Contract : Permanent
Job Status : Full-time
Funding : Not funded by an EU programme
Research Infrastructure Staff Position : No
Offer Description
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, and is involved in European HPC initiatives such as PRACE and EuroHPC JU. BSC's mission is to advance information technologies to facilitate scientific progress, combining HPC services and R&D across various scientific disciplines. The center employs over 1000 staff from 60 countries.
We value diversity and encourage applications from underrepresented groups, especially women, to foster an inclusive environment.
Context And Mission
The Language Technologies Unit at BSC specializes in NLP, including large language models, biomedical text mining, machine translation, and unsupervised learning for under-resourced languages. It leads national projects for Spanish and Catalan AI resources and participates in EU projects.
We are seeking an MLOps engineer experienced in automating ML development, deployment, and monitoring. The role involves developing and maintaining ML pipelines, ensuring high performance and reliability, and deploying models effectively in a high-performance computing environment.
Key Duties
Minimum Qualifications
Essential Knowledge and Experience
Additional Knowledge and Skills
Competences
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