Senior Machine Learning Operations Engineer

Description du poste

As Proximie continues to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drives better insights and decision making, you will be the engineer who makes that intelligence dependable at scale Using your deep technical expertise and real-world production experience, you will own the platform and the infrastructure that carry our machine learning solutions out of development and into hundreds of live hospitals, and keep them performing once they are there Our machine learning engineers own the models. You own everything that gets those models in front of a customer and keeps them running: the training and deployment infrastructure on AWS and SageMaker, reproducible and configuration-driven training runs, environments defined in code, release pipelines that make a deployment routine rather than an event, and the monitoring that tells us when a model’s behaviour shifts in a theatre on the other side of the world You will make the difference between a solution that works and a solution a hospital can depend on This is a commercial team, and the work is grounded in real operational problems rather than internal roadmaps The role demands precision, judgement and a deep understanding of how machine learning behaves in production, at scale, in environments that do not forgive downtime Take models built by the machine learning engineers / scientists and turn them into production services that meet our latency, cost and reliability targets Build and maintain SageMaker training, processing and inference workloads, and the pipelines that orchestrate them Make training runs reproducible and configuration-driven, so any result can be rebuilt from code Build monitoring for model performance, data drift and system health, and make sure the right people are alerted when something moves Ship infrastructure through code review rather than the console, using Terraform and a proper pull-request workflow Document what

Annonce publiée sur Welcome to the Jungle et reprise par Intelligence Academy. Seule l'annonce d'origine fait foi ; nous ne sommes pas l'employeur.