Bench+BENCH+ PROFILE
Senior MLOps and DevOps platform engineer with a strong infrastructure automation background, hands-on Kubernetes and AWS work, and documented involvement in AI/ML lifecycle workflows for lab and stage environments plus internal AI-assisted engineering tooling.
BEST-FIT USE CASE
Not the primary fit: Less aligned with roles centered on model research, data science experimentation, or pure application feature development.
EVIDENCE HIGHLIGHTS
Led platform architecture and hands-on engineering for a communications platform covering hybrid cloud, Kubernetes, DevOps/MLOps, and AI-assisted engineering workflows.
Designed and maintained Kubernetes manifests and Helm charts while administering on-premises and AWS clusters.
Designed and integrated SageMaker and MLflow-oriented lifecycle workflows for model training, storage, deployment, monitoring, and CI/CD patterns in lab and stage environments.
Automated ML workflow delivery through CI/CD pipelines and helped define operational patterns for model rollout, rollback, and ongoing support.
Designed and integrated production AI-assisted internal engineering tooling for infrastructure stability analysis, productivity assessment, and engineering decision support.
Administered and optimized virtualization platforms using Infrastructure as Code and automated VM image lifecycle management.
Developed JavaScript-based automation with REST API integrations for service onboarding and request/response processing.
Designed and delivered technical training on Kubernetes, Docker, virtualization, and operating systems.