Senior ML Infrastructure / ML DevOps Engineer

Pathway is a leading AI company that is shaking the foundations of artificial intelligence. We are looking for a Senior ML Infrastructure / DevOps Engineer to own the infrastructure that powers our ML training and inference workloads across multiple cloud providers.

Requirements

• Design, operate, and scale GPU and CPU clusters for ML training and inference
• Automate infrastructure provisioning and configuration using infrastructure-as-code
• Build and maintain robust ML pipelines with strong guarantees around reproducibility, traceability, and rollback
• Implement and evolve ML-centric CI/CD
• Own monitoring, logging, and alerting across training and serving
• Work with terabyte-scale datasets and associated storage, networking, and performance challenges
• Partner closely with ML engineers and researchers to productionize their work
• Participate in on-call rotation for critical ML infrastructure and lead incident response and post-mortems

Benefits

• Competitive salary
• Permanent employment contract
• Inclusive workplace culture
• Opportunity to work with cutting-edge AI technology