MLOps / AI Platform Engineer Subject Matter Expert (AI)

TL;DR

MLOps / AI Platform Engineer Subject Matter Expert (Azure/AI): Validating technical content and learning objectives for a reskilling program focused on taking AI systems from pilot to production at scale with an accent on ML pipelines, governance, and monitoring. Focus on reviewing instructional materials, validating technical correctness of async assets, and ensuring content difficulty is appropriate for customer-facing professionals.

Location: U.S. Remote

Compensation: $60 - $80 per hour

Company

hirify.global provides experiential education and training in high-demand tech skills to transform careers and cultivate top talent for employers.

What you will 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.
• Participate in structured SME review gates to ensure quality.
• Provide detailed revision feedback for the instructional design lead to implement.

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.
• Proficiency in Python, data engineering foundations, and Azure cloud infrastructure.
• Minimum certifications: AZ-900, AI-900, and DP-100 (AI-102 preferred).
• Must be based in an approved operating country (primarily United States for this role).

Nice to have

• Former AI Platform or Azure ML engineer experience at Microsoft, Google, or similar companies.

Culture & Benefits

• Flexible, part-time schedule (up to 35 hours per week).
• Opportunity to shape the future of work by building reskilling programs for corporate leaders.
• Remote-first work environment.