Own the production runtime for Phare’s ML stack involving deployment, serving, and scaling of models. R1 is a leader in healthcare revenue management focusing on efficient billing and reimbursement processes.
Responsibilities
own the production runtime for Phare’s ML stack, deploying, serving, and scaling models
build progressive delivery pipelines with automated rollouts and rollbacks
manage SLOs for latency and availability
instrument end-to-end observability including metrics, logs, traces, drift, regression
harden the platform with Terraform, Kubernetes, and CI/CD
Requirements
at least 5 years of relevant industry experience in software engineering
at least 2 years of direct MLOps experience
experience in deploying and operating models running on GPUs in production
strong with Docker/Kubernetes, IaC (e.g., Terraform), and CI/CD for services and model artifacts
use progressive delivery with automated rollouts/rollbacks
manage model registries and stage gates
experience in regulated environments (e.g., healthcare, finance) is a bonus
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