remote
MLOps / AI Platform Engineer Subject Matter Expert
MLOps / AI Platform Engineer Subject Matter Expert
General Assembly is seeking an MLOps / AI Platform Engineer Subject Matter Expert to validate content for a reskilling program. This role involves reviewing and ensuring the technical accuracy of learning materials related to ML pipelines, model deployment, monitoring, and governance, targeting customer success and account management professionals.
About the role
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