AI/ML Platform Operations Analyst

About this role

Please use Google Chrome or Mozilla Firefox when accessing Candidate Home. By joining the American Red Cross  you will touch millions of lives every year and experience the greatness of the human spirit at its best.  Are you ready to be part of  the world's largest humanitarian network?

Join us—Where your Career is a Force for Good!

Job Description: WHY CHOOSE US?   Joining The American Red Cross is like nothing else – it’s as much something you feel as something you do. You become a vital part of the world’s largest humanitarian network. Joining a team of welcoming individuals who are exceptional, yet unassuming. Diverse, yet uncompromising in unity. You grow your career within a movement that matters, where success is measured in people helped, communities made whole, and individuals equipped to never stop changing lives and situations for the better.     When you choose to be a force for good, you’ll have mentors who empower your growth along a purposeful career path. You align your life’s work with an ongoing mission that’s bigger than all of us. As you care for others, you’re cared for with competitive compensation and benefits. You join a community that respects who you are away from work as much as what you do while at work.     WHAT YOU NEED TO KNOW ABOUT THE JOB:  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 than by specialized expertise in deep learning, modeling, data science, gpu optimization, or k8s. 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? 

WHERE YOUR CAREER IS A FORCE FOR GOOD (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. 

+++++++++++++++++++++++++++++++ Scope: Individual contributor with comprehensive knowledge in specific area.  Ability to execute highly complex or specialized projects.  Adapt precedent and may make significant departures from traditional approaches to develop solutions.

Notes:  Qualified candidates must be authorized to work in the United States.  The American Red Cross does not sponsor employment visas.

Direct applicants only; no agency or third-party candidate submissions. +++++++++++++++++++++++++++++++

WHAT YOU NEED TO SUCCEED (required/minimum 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.

Travel: ~10% domestic travel annually.

WHAT WILL GIVE YOU THE COMPETITIVE EDGE (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 sa

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