MLOps / AI Platform Engineer Subject Matter Expert

About the company General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today's most in-demand skills. GA is featured in The Economist, Wired, and The New York Times, and boasts a global alumni community of 60,000+. More than 21,000 employees at elite companies have honed their digital fluency with GA's upskilling and reskilling initiatives. About the role 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. This is a part-time contract engagement of 15-20 hours/week for 6-7 weeks, ending by July 2026. Responsibilities - 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 - 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 Requirements - 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 for ML workloads - Python proficiency, data engineering foundations, and Azure cloud infrastructure fluency - Familiarity with Azure ML, AI Foundry, and model lifecycle management - Required certifications: AZ-900, AI-900, and DP-100; AI-102 preferred Nice to have - AI-102 Azure AI Engineer certification - Experience creating or reviewing instructional content for technical audiences Benefits & perks - Fully remote engagement - Flexible async-first schedule (most hours are asynchronous) Compensation $60-$75 per hour. Part-time contract: 15-20 hours/week for 6-7 weeks (90-140 total hours). Ends by July 2026.