Machine Learning Operations Engineer

Context And Mission   The Barcelona Supercomputing Center (BSC) is seeking a Machine Learning Operations Engineer (MLOps) 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. It 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 MLOps Engineer will support the development, deployment, and operationalization of AI services related to Earth Sciences applications. This includes contributing to real-world applications with direct scientific and societal impact. The candidate will be responsible for managing the integration and availability of AI software tools, developed internally by consortium partners or externally by third parties, on the MareNostrum5 AI partition. This involves ensuring compatibility, performance, and scalability of AI workloads on the MN5 infrastructure and providing technical support to the broader AI Factory user community. The role will involve close collaboration with researchers, developers, and system administrators to streamline workflows, automate deployment pipelines, and maintain robust, reproducible AI environments using best practices in MLOps.   Key Duties   Manage and maintain AI software stacks and tools on the MN5 supercomputer. Support the deployment and scaling of AI workflows for users, particularly in environmental applications. Collaborate with the group and consortium members, as well as external developers, to integrate new software tools and ensure compatibility. Develop and maintain CI/CD pipelines and containerization workflows Docker, Singularity). Optimize MLOps Workflows, develop and maintain robust MLOps workflows, including model versioning, monitoring, lifecycle management, and troubleshooting.   Requirements   Education Bachelor's or Master's degree in computer science, artificial intelligence or similar Essential Knowledge and Professional Experience Solid experience in MLOps, DevOps, or a related software engineering role. Proficiency with AI/ML frameworks TensorFlow, PyTorch) and tools for workflow orchestration. Strong knowledge of containerization and orchestration technologies Docker, Kubernetes). Experience in scaling generative models and deploying them in production environments Competences Experience working in HPC or cloud-based environments will be valued. Familiarity with climate science datasets is desirable. Good communication skills and the ability to work in an international, multidisciplinary team. Fluency in spoken and written English.   Conditions   The position will be located at BSC within the Directors Department We offer a full-time contract 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: 3 years Holidays: 23 paid vacation days plus 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: asap