Project Overview:
A leading medical institute in California manages a specialized cancer care clinic. Patient data stored in an Electronic Medical Records (EMR) system undergoes a crucial transformation process before being ingested into an AWS Data Lake. We seek a skilled Senior MLOps Engineer to optimize and maintain our data pipeline and manage language models.
Team:
1 Deliver Manager, 2 ML Engineers.
Requirements:
- Proficiency with one or more MLOps tools like: Kubeflow, Clearml, MLflow, AWS Sagemaker;
- Strong programming skills, particularly in languages like Python;
- Proficiency with one or more model serving solutions like: AWS Sagemaker Endpoints, Nvidia Triton, Pytorch Serving;
- Experience with AWS services, especially AWS Comprehend Medical, AWS Data Lake.
- Experience in AWS CloudFormation for infrastructure automation;
- Experience with Kubernetes;
- Familiarity with medical data processing tools, Metamap.
Responsibilities:
- Design data pipelines for ingestion, preprocessing, and distribution AWS;
- Models for enhanced medical data analysis.
