AWS MLOps Engineer

What You Will Do  

• Architect and implement scalable infrastructure for AI and ML workloads (training, evaluation, inference). 
• Design and operate Kubernetes-based platforms for multi-tenant, production AI systems. 
• Build and refine MLOps pipelines covering model versioning, experiment tracking, CI/CD, deployment, monitoring, and rollback. 
• Establish DevOps best practices across infrastructure, application, and ML layers. 
• Lead security-first infrastructure design (access control, secrets management, isolation, observability, auditability). 
• Deploy and operate enterprise-grade production systems with strong uptime and reliability standards. 
• Leverage modern AI coding agents and developer copilots to accelerate engineering workflows. 
• Partner with ML engineers and application teams to translate research and product requirements into scalable infrastructure capabilities.