[Hiring] Lead Instructor: MLOps / AI Platform Engineering @General Assembly

Role Description

As the Lead Instructor, you will be the face of lessons. You aren't just checking the math; you are bridge-building. You will lead experienced customer-facing professionals through the complexities of taking AI systems from pilot to production, ensuring they leave the 2-week intensive with a functional understanding of MLOps governance and deployment.

What You’ll Do

• Lead Live Instruction: Deliver high-energy, synchronous remote lectures and "prompt-along" sessions covering ML pipelines, model deployment, and monitoring.
• Simplify the Complex: Translate high-level MLOps concepts (CI/CD for ML, governance frameworks) into digestible insights for learners who are experienced professionals but not career engineers.
• Facilitate Hands-on Labs: Guide students through self-paced exercises and live troubleshooting within the Azure AI Foundry and ML environments.
• Mentor & Office Hours: Provide real-time feedback during dedicated lab hours, helping students navigate technical roadblocks in Python and Azure infrastructure.
• Drive Learning Outcomes: Ensure students can successfully articulate and execute model lifecycle management strategies by the end of the cohort.

Qualifications

• 7+ years in software or data engineering, with at least 3+ years specifically in MLOps or ML platform roles in a production environment.
• Proven experience in technical instruction, bootcamp delivery, or corporate training.
• Deep, hands-on expertise with Azure ML and AI Foundry.
• Proficiency in Python, Data Engineering fundamentals, and applying DevOps/CI/CD principles specifically to ML workloads.
• AZ-900, AI-900, and DP-100 are required; AI-102 is preferred.
• Experience as an AI Platform or Azure ML engineer at a major tech firm (Microsoft, Google, etc.) is a massive plus.

Requirements

• This is a high-intensity, 2-week engagement.
• Candidates must be fully available for 30 hours per week during the mid-June window.
• Prepared to operate on Pacific Time (PT) schedules to align with the learner cohort.

Benefits

• $15,500 flat fee for the project.