Tech Stack

Description

You'll design and build the infrastructure, libraries, and pipelines that power our data science initiatives, collaborating closely with data scientists and DevOps. You'll own model development, monitoring, and maintenance, working on impactful projects in digital health.

Requirements

• 5+ years in software engineering (backend/platform roles)
• 5+ years Python experience
• 2+ years cloud platform experience (GCP preferred, Azure, AWS)
• Experience with ML workflow frameworks like KFP or Vertex Pipelines
• Experience with inference optimization (vLLM) and fine-tuning (Axolotl/Huggingface)

Responsibilities

• Design, develop, and maintain ML ecosystem libraries
• Build data science code, Docker images, and Kubeflow Pipelines
• Create and maintain CI scripts
• Conduct code reviews
• Collaborate with data scientists and integrate models into production