ML Platform Engineering Lead — Production AI

Gilead Sciences Inc.; Maryland; On-site; USD 158,000 - 204,000; Full time

Job summary

Gilead Sciences Inc. is hiring an ML Platform Engineer to advance data and AI capabilities across R&D Quality. You will operationalize machine learning models, build scalable data pipelines, and support production-grade analytics for signal detection and risk analytics.

You will partner with the Quality Analytics & Insights team to deploy robust data infrastructure, monitoring, and automation. A strong background in Python/SQL, cloud tech, and MLOps is expected.

Qualifications

• Bachelor's Degree and eight years of experience in ML/engineering or related field.
• Strong programming skills in Python, SQL, and data engineering.
• Experience operationalizing ML/AI in regulated environments.

Responsibilities

• Operate as a self-directed contributor delivering end-to-end ML/AI solutions.
• Build and maintain data pipelines and ML infrastructure.
• Collaborate with Quality Analytics & Insights to implement AI-enabled workflows.

Skills

Python

SQL

Go

TypeScript

Education

Bachelor's Degree + 8 years experience

Master's Degree + 6 years experience

PhD / PharmD

Tools

Databricks

Docker

Kubernetes

GitHub Actions

Terraform

AWS

Azure

Job description

Gilead Sciences Inc. is hiring an ML Platform Engineer to advance data and AI capabilities across R&D Quality. You will operationalize machine learning models, build scalable data pipelines, and support production-grade analytics for signal detection and risk analytics.

You will partner with the Quality Analytics & Insights team to deploy robust data infrastructure, monitoring, and automation. A strong background in Python/SQL, cloud tech, and MLOps is expected.