MLOps / AI Platform Engineer Subject Matter Expert
General Assembly19 days ago
Remote, United StatesSenior / Staff+
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 for technical correctness and appropriate difficulty level for the learner population.
- Participate in one structured SME review gate.
- 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 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.