AI/ML Platform Operations Analyst

Key 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.

Required/Minimum Qualifications

• 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 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.

Preferred Qualifications

• Commitment to the non-profit sector and its values.
• Production experience operating in Databricks.
• Ability to clearly articulate hands-on involvement in prior work.
• Combination of candidate’s education and general experience satisfies requirements so long as the total years equate to description’s minimum education and general experience years combined (Certification cannot be substituted).

Physical Requirements

• Physical requirements are those present in normal office environment conditions.
• Operational flexibility is required to meet sudden and unpredictable needs.
• 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.

Pay Information

The annual salary range for this position is $110K - $120K. We do not offer an annual bonus for this role.

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