Senior AI Ops Engineer| Kubernetes/docker

Senior AI Ops Engineer position to architect and deliver automation layer for fast, reproducible, and scalable model development. Job involves implementing experiment tracking, building CI/CD, designing workflow orchestration, and enabling distributed GPU training.

Requirements

• Implement and operate experiment tracking, lineage, and reproducibility standards
• Build CI/CD for ML: tests, packaging, reproducibility checks, policy gates, automated deployment and rollback strategies
• Design workflow orchestration for large-scale ML jobs
• Architect, build, and own automated pipelines for model training, fine-tuning, evaluation, and promotion
• Establish standardized training recipes to reduce time-to-first-experiment and improve consistency across teams
• Enable and optimize distributed GPU training
• Develop evaluation harnesses and automated benchmark suites

Benefits

• 401(K) including company matching
• Employee stock purchase program (ESPP)
• Student debt assistance
• Tuition reimbursement program
• Development and career growth opportunities and programs
• Financial planning benefits
• Wellness benefits including an employee assistance program (EAP)
• Paid time off and paid company holidays
• Family care and bonding leave