General Assembly

MLOps / AI Platform Engineer Subject Matter Expert

U.S · Part-time

Sponsorship not specified$60k-$75kDetected 89 days ago

PythonAzureCloud PlatformsCI/CDDevOpsPlatform EngineeringMachine LearningData EngineeringMLOpsAccount ManagementCustomer Success

About the role

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today's most in-demand skills.
In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning.

Validate technical accuracy of instructional slide content covering ML pipelines, model deployment, monitoring, and governance
Provide a single round of revision feedback for the LED to implement before QA
General Assembly is building a reskilling program for clients' Customer Success and Account Management professionals transitioning into MLOps and AI Platform Engineering roles.
You'll serve as the subject matter expert for Pathway 3, validating the technical accuracy of pipeline content, governance frameworks, monitoring exercises, and async assets designed to bring CSAMs up to speed on taking AI systems from pilot to production at scale.

7+ years in software or data engineering with 3+ years in MLOps or ML platform roles in production
Hands-on experience with ML pipelines, model deployment, monitoring, and governance at scale
Python proficiency, data engineering foundations, and Azure cloud infrastructure fluency
Familiarity with Azure ML, AI Foundry platform engineering patterns, and model lifecycle management

AI-102 preferred
Former AI Platform or Azure ML engineer with Microsoft, Google, or similar company is a strong plus
AZ-900, AI-900, and DP-100 minimum

Our global professional community boasts 60,000 full- and part-time alumni - and counting.
More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives.
GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work.
About the engagement

Review and validate competencies and learning objectives for the MLOps / AI Platform Engineer pathway

General Assembly
Client: Confidential - Customer Success Reskilling
Hours: 15 to 20 hours a week, for 6 to 7 weeks (for a grand total of 90 to 140 hours) (Ends by July, 2026) (Most of your hours will be asynchronous - you will be vetting and iterating with our team - not building content from scratch yourselves.)

This listing is sourced directly from General Assembly's careers page and normalized into a canonical job model.