AI/ML Platform Operations Lead (Remote)

American Red Cross; Tennessee; On-site; USD 110,000 - 120,000; Full time

Benefits offered by this job

Medical, Dental, Vision

HSA & FSA

PTO 19 days

Holidays 11

401K 6% match

Paid Family Leave

Employee Assistance

Disability Insurance

Service Awards

Job summary

The Enterprise AI team at the American Red Cross is hiring an AI/ML Platform Operations Analyst to operate our Dataiku and Databricks environments. You will join a small senior team supporting a data science group of about ten and serve humanitarian, biomedical, and training services operations.

This is an operations role sitting between data science and infrastructure. You move finished projects into production, keep pipelines healthy on both platforms, and bring operational judgment to a team

Qualifications

• 7+ years in MLOps, DataOps, data engineering, or platform operations.
• Production experience operating an enterprise data science or ML platform such as Databricks, Dataiku, or a comparable platform.
• Hands-on AWS stack (S3, IAM, Redshift) and strong Python.
• Experience enabling data scientists from development to production.

Responsibilities

• Move completed projects into production by packaging Python environments and setting up monitoring.
• Own the promotion pre-flight checklist for each release, deciding manual vs automated steps.
• Triage and fix pipeline failures; coordinate with upstream data owners on changes.
• Track project demand to help the team anticipate operational needs.
• Write runbooks and documentation that others can follow.

Skills

MLOps

DataOps

Data engineering

Platform operations

Python

AWS

Education

Bachelor's degree in CS/Engineering/IS

Tools

Databricks

Dataiku

SageMaker

Job description

The Enterprise AI team at the American Red Cross is hiring an AI/ML Platform Operations Analyst to operate our Dataiku and Databricks environments. You will join a small senior team supporting a data science group of about ten and serve humanitarian, biomedical, and training services operations.

This is an operations role sitting between data science and infrastructure. You move finished projects into production, keep pipelines healthy on both platforms, and bring operational judgment to a team