Machine Learning Operations Engineer - MLOps (Remote)

About the Role

We are seeking a talented Machine Learning Operations Engineer - MLOps (Remote) to join our dynamic team at the Barcelona Supercomputing Center. As a key member of the AI Factory initiative within the Earth Sciences Department, you will play a crucial role in advancing AI technologies and their applications in environmental science.

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 consortium members and 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.
• Fluency in spoken and written English.

What We Offer

• A full-time contract (37.5 hours/week) with a competitive salary.
• A stimulating working environment with state-of-the-art infrastructure.
• Flexible working hours and extensive training plans.
• Support for relocation procedures.
• 22 days of holidays + 6 personal days + additional holidays during the holiday season.