AI/ML Platform Operations Analyst

Role 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. The work is a steady cadence of production analytics and ML pipelines serving humanitarian, biomedical, and training services operations.

The job is an operations role that sits between data science and infrastructure. You move finished projects into production, keep pipelines healthy on both platforms, and bring operational judgment to a team that otherwise leans toward building things. Success in this role is driven by:

• Platform operations critical thinking
• Problem solving
• AI/ML platform skills

The scope is contained and the pace is deliberate. If systems running quietly for years sounds like the point of the job to you, this is a good seat. The team is small and handles real stakes with a deliberate pace, inside a large organization. If you think you are a good fit, please apply.

The work location for this exciting opportunity is virtual. The selected candidate will work 100% remotely from home and can be located anywhere in the United States but must work an east coast schedule. Active participation in virtual meetings, including regular camera use, is expected to support effective teamwork and stakeholder engagement.

When applying, please include the following responses to these questions in your resume or cover letter:

• Briefly describe something you decided not to automate, and why.
• Briefly name a platform or major tool you learned on the job. What forced the learning, and how long before it was useful?

Qualifications

• Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field—or equivalent professional experience
• Experience: 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 enterprise platform (SageMaker, Microsoft Fabric, Domino).
• Experience learning a new platform on the job, driving migration, team adoption of a tool, picking up a stack midstream, and ability to talk through these experiences.
• Hands-on experience with the AWS stack (S3, IAM, Redshift) and strong Python, including environment management.
• A history of supporting data scientists or analysts from development into production, not building infrastructure off to the side.
• Calm triage, clear incident communication, and comfort participating in constructive technical debates across all levels.
• A clear writing style. The role will create documentation other people depend on.

Requirements

• Travel: ~10% domestic travel annually.

Benefits

• Medical, Dental Vision plans
• Health Spending Accounts & Flexible Spending Accounts
• PTO: Starting at 19 days a year; based on type of job and tenure
• Holidays: 11 paid holidays comprised of six core holidays and five floating holidays
• 401K with up to 6% match
• Paid Family Leave
• Employee Assistance
• Disability and Insurance: Short + Long Term
• Service Awards and recognition