Note: The job is a remote job and is open to candidates in USA. The American Red Cross is a humanitarian organization seeking an AI/ML Platform Operations Analyst to support its Enterprise AI team. The role operates Dataiku and Databricks environments, moves data science projects into production, maintains analytics and ML pipelines, and supports platform administration, monitoring, incident triage, documentation, and automation.
Responsibilities
- Work with 10+ data scientists to move completed projects into production: packaging Python environments (venv first, then uv where the project allows), setting up monitoring and alerting, and watching for problems after release
- Own the promotion pre-flight checklist for each release and keep it honest: know when a task should stay manual, become a runbook, or become code
- Triage and fix pipeline failures. Work with upstream data owners when source systems, credentials, or schemas change
- Track incoming project demand so the team sees operational needs before they land
- Write runbooks and documentation that someone else can follow without you in the room
- Administer users, groups, code environments, and cluster policies in the platform consoles
- Support the team working on automation requirements and design reviews
Skills
- 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
- Qualified candidates must be authorized to work in the United States
- Travel: ~10% domestic travel annually
- • 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
- Ability to use a personal computer, applicable software, and office equipment for sustained periods of time
- May include sitting for long periods of time, driving a vehicle, and working under challenging conditions
- • Production experience operating in Databricks
- • Ability to clearly articulate hands-on involvement in prior work
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
Company Overview