Overview
Machine Learning Operations Engineer - MLOps (RE 1-2) – AI Factory (Earth Sciences Department) at Barcelona Supercomputing Center (BSC-CNS).
Responsibilities
- Manage and maintain AI software stacks and tools on the MareNostrum5 AI partition.
- Support the deployment and scaling of AI workflows for users, particularly in environmental applications.
- Collaborate with researchers, developers, and external partners to integrate new software tools and ensure compatibility.
- Develop and maintain CI / CD pipelines and containerization workflows (e.g., Docker, Singularity).
- Optimize MLOps workflows, including model versioning, monitoring, lifecycle management, and troubleshooting.
Qualifications
Bachelor\'s or Master\'s degree in computer science, artificial intelligence or similarSolid experience in MLOps, DevOps, or a related software engineering roleProficiency with AI / ML frameworks (e.g., TensorFlow, PyTorch) and tools for workflow orchestrationStrong knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes)Experience in scaling generative models and deploying them in production environmentsDesired Competences
Experience working in HPC or cloud-based environmentsFamiliarity with climate science datasetsGood communication skills and the ability to work in an international, multidisciplinary teamFluency in spoken and written EnglishConditions
The position will be located at BSC within the Directors DepartmentFull-time contract (37.5h / week) with a stimulating environment and state-of-the-art infrastructureDuration : 3 yearsHolidays : 23 paid vacation days plus 24th and 31st of DecemberSalary : competitive and commensurate with qualifications and experienceStarting date : asapApplications procedure
All applications must be submitted via the BSC website and include :
A full CV in English including contact detailsA cover / motivation letter in English, specifying areas of interest, and two referencesEqual opportunity statement
Barcelona Supercomputing Center is an equal opportunity employer committed to diversity and inclusion. We evaluate all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by law.
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