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MLOps & Agentic Platform Engineer (AI Infrastructure)

Reposted One Month AgoSaved

In-Office or Remote

CA, USA

Mid level

Agency • Artificial Intelligence • Blockchain • Web3

Build and operate MLOps and agentic infrastructure: manage model registries, continuous training loops, and A/B testing; deploy agents as scalable Kubernetes microservices; and create observability dashboards tracking token usage, latency, and agent reasoning.

Top Skills: A/B TestingContinuous TrainingDockerKubernetesLangsmithMicroservicesMlflowModel RegistryObservability DashboardsTerraformWeights & Biases

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