Machine Learning Operations Engineer (MLOps) - Remote Opportunity

About the Role

We are seeking a talented Machine Learning Operations Engineer (MLOps) - Remote to join our Earth Sciences department at the Barcelona Supercomputing Center. This is an exciting opportunity to contribute to the AI Factory initiative, which aims to accelerate the adoption of artificial intelligence across various industry sectors.

What You'll Do

• Manage and maintain AI software stacks and tools on the MareNostrum5 supercomputer.
• Support the deployment and scaling of AI workflows for users, particularly in environmental applications.
• Collaborate with 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 (e.g., Docker, Singularity).
• Optimize MLOps workflows, including model versioning, monitoring, lifecycle management, and troubleshooting.

Requirements

• Bachelor's or Master's degree in computer science, artificial intelligence, or a related field.
• Solid experience in MLOps, DevOps, or a related software engineering role.
• Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch) and tools for workflow orchestration.
• Strong knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Experience in scaling generative models and deploying them in production environments.

Nice to Have

• Experience working in HPC or cloud-based environments.
• Familiarity with climate science datasets.
• Good communication skills and the ability to work in an international, multidisciplinary team.

What We Offer

• Flexible working hours and a good working environment.
• Access to state-of-the-art infrastructure and extensive training plans.
• 22 days of holidays plus 6 personal days.
• Private health insurance and support for relocation procedures.
• A competitive salary commensurate with qualifications and experience.