Note: The job is a remote job and is open to candidates in USA. General Assembly is a leader in experiential education, helping individuals and organizations develop in-demand skills. They are seeking a Lead Instructor for a specialized reskilling program aimed at transitioning Customer Success professionals into MLOps and AI Platform Engineering roles, where the instructor will lead live lectures and facilitate hands-on labs.

Responsibilities

• 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

Skills

• 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 certifications are required
• AI-102 certification is preferred
• Experience as an AI Platform or Azure ML engineer at a major tech firm (Microsoft, Google, etc.) is a massive plus

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