Description:

General Assembly is seeking an MLOps / AI Platform Engineer Subject Matter Expert to support a reskilling program for Customer Success and Account Management professionals transitioning into MLOps roles.
The role involves validating technical content and ensuring the accuracy of learning materials related to ML pipelines and governance.

Requirements:

7+ years in software or data engineering with 3+ years in MLOps or ML platform roles.
Hands-on experience with ML pipelines, model deployment, monitoring, and governance at scale.
Strong DevOps and CI/CD fundamentals applied to ML workloads.
Proficiency in Python, data engineering foundations, and Azure cloud infrastructure.
Familiarity with Azure ML and model lifecycle management.
Relevant certifications (AZ-900, AI-900, DP-100 minimum; AI-102 preferred).
Experience as an AI Platform or Azure ML engineer at Microsoft, Google, or similar is a plus.

Compensation range of $60 - $75 per hour.
Flexible remote work arrangement (available in the USA, Canada, UK, Australia, and Singapore).
Opportunity to influence the future of work through education and reskilling initiatives.

Skills