Note: The job is a remote job and is open to candidates in USA. General Assembly is a leader in experiential education, transforming careers through in-demand skills training. They are seeking an MLOps / AI Platform Engineer Subject Matter Expert to validate technical accuracy of content for a reskilling program aimed at Customer Success and Account Management professionals transitioning into MLOps roles.

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 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

Skills

• 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

Company Overview