Python ML Engineer

As a Python ML Engineer, you’ll own the deployment and operationalization of machine learning models that power intelligent features across our platform. You’ll work closely with data scientists and product teams to take algorithms from prototype to production—building scalable, reliable systems in AWS that directly improve healthcare access and outcomes for patients. You will build scalable ML inference systems using AWS services like SageMaker, Lambda, ECS, and S3, and develop APIs and serverless endpoints to enable real-time and batch inference. You will design and automate pipelines for data prep, feature engineering, training, and retraining workflows using Airflow or Step Functions. Improving model latency, cost, and performance in production environments will also be a key contribution to the team.