AI/ML Platform Operations Analyst
About The Position
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’ll be a member of a small, senior team supporting roughly 10 data scientists and a steady cadence of production analytics and ML/AI work in service of humanitarian, biomed, and training services operations. The role sits at the data-science workflow layer: partnering with data scientists and developers to move completed projects into production, maintaining operational health of pipelines across both platforms, and providing operational counterweight to a team that otherwise leans toward platform engineering. 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.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field—or equivalent professional experience.
- 7 years in MLOps, DataOps, data engineering, or related platform operations roles.
- Significant production experience with both Dataiku and Databricks. Familiarity with one platform alone is not sufficient for this seat.
- Hands-on experience with the AWS data stack (S3, IAM, Redshift) and strong proficiency in Python and modern environment management (uv, pip, venv, or equivalent).
- Demonstrated experience supporting data scientists and analysts through the development-to-production lifecycle.
- Strong operational judgment—ability to determine when to automate, when to runbook, and when to leave a working manual process alone.
- Excellent written and verbal communication skills, with demonstrated diplomacy across data science, data engineering, security, and infrastructure stakeholders.
- Qualified candidates must be authorized to work in the United States. The American Red Cross does not sponsor employment visas.
Nice To Haves
- Familiarity with infrastructure-as-code (Terraform) and Git-based workflows.
- Experience with model monitoring, data quality tooling, or AI/ML observability platforms.
- Experience operating in compliance-sensitive environments (healthcare, financial services, government, or humanitarian operations).
- Prior experience in nonprofit, humanitarian, or mission-driven organizations.
- Ability to clearly articulate hands-on involvement in prior work.
Responsibilities
- Partner with data scientists and developers to move completed projects from development to production across the Dataiku and Databricks platforms—packaging code environments (uv, venv, Dataiku code envs), establishing monitoring and alerting, and watching for performance degradation.
- Triage and resolve pipeline failures across both platforms; coordinate with upstream data owners (Redshift, Postgres, S3) when source systems, credentials, or schemas change.
- Maintain visibility into the project intake funnel: what is coming, what is blocked, what is promotable. Surface upcoming operational needs proactively.
- Author and maintain operational runbooks and documentation.
- Perform user, group, code environment, and cluster policy administration within the Dataiku and Databricks consoles.
- Partner with the Principal Engineer on DataOps automation requirements, design feedback, and testing.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
