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ML Ops Infrastructure Engineer at Centific - ApplyBlast

ML Ops Infrastructure Engineer

Centific

6 months ago

3.6 on Glassdoor

Remote

Full Time

Senior

0 applicants

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About this role

An MLOps / AI Infrastructure Engineer at Centific owns GPU compute and hardware infrastructure, Kubernetes clusters, MLOps pipelines, networking, storage, and security compliance for on-premises and edge AI deployments. The role requires expertise in AI infrastructure, Kubernetes, networking, and security to support government and enterprise clients.

Skills

Qualifications

6+ years of infrastructure engineering experience3 years managing GPU compute clusters or HPC environments in productionDeep hands-on expertise with NVIDIA GPU infrastructureProduction-level Kubernetes administration experience on bare-metalStrong networking fundamentals

About Centific

centific.com

Headquarters

Redmond, Washington, United States

Company Size

5001-10000 employees

View Profile

Centific helps model labs and enterprises build, train, and scale AI through high-quality multilingual datasets, RLHF pipelines, and end-to-end AI data platforms. The company provides data collection, human evaluation, model safety, and reinforcement learning environments to turn AI models into production-ready systems. Centific serves a global client base with expert networks, data marketplaces, and responsible AI practices.