MLOps / AI Platform Engineer Subject Matter Expert

Since 2011, General Assembly has transformed tens of thousands of careers

through pioneering, experiential education in today’s most in-demand skills. As

featured in The Economist, Wired, and The New York Times, GA offers training in

web development, data, design, business, and more, both online and at campuses

around the world. Our global professional community boasts 60,000 full- and

part-time alumni — and counting. 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. More than 21,000 employees

at elite companies worldwide have honed their digital fluency with our

upskilling and reskilling initiatives. GA has also been recognized as one of

Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in

World-Changing Ideas as well as the #1 Most Innovative Company in Education.

GA is at the leading edge of creating practical solutions to one of the most

pressing challenges of our time - the future of work. As recognized by The World

Economic Forum, BCG, the OECD and more, these are big challenges to which only a

few companies are offering real solutions. In this role, you'll be speaking

every day to corporate leaders who rely on GA to help them apply these solutions

to their workforce of the future.

Company: General Assembly

Client: Confidential - Customer Success Reskilling

Start: ASAP

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.)

Compensation

Range: $60 - $75 per hour

Location: Remote

About the engagement

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.

What you'll do

* Review and validate competencies and learning objectives for the MLOps / AI

Platform Engineer pathway

* Validate technical accuracy of instructional slide content covering ML

pipelines, model deployment, monitoring, and governance

* Review async assets including prompt-alongs and self-paced exercises for

technical correctness and appropriate difficulty level for the learner

population (experienced customer-facing professionals, not engineers)

* Participate in one structured SME review gate (approximately 1 week, early

June)

* Provide a single round of revision feedback for the LED to implement before

QA

What you bring

* 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

* Strong DevOps and CI/CD fundamentals applied to ML workloads

* Python proficiency, data engineering foundations, and Azure cloud

infrastructure fluency

* Familiarity with Azure ML, AI Foundry platform engineering patterns, and

model lifecycle management

* AZ-900, AI-900, and DP-100 minimum; AI-102 preferred

* Former AI Platform or Azure ML engineer with Microsoft, Google, or similar

company is a strong plus

Unless otherwise noted, remote positions can be performed from the following

approved General Assembly operating countries.

United States of America (states of operation may vary), Canada (provinces of

operation may vary), United Kingdom, Australia, and Singapore.