[Hiring] Lead Instructor: MLOps / AI Platform Engineering @General Assembly
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Lead Instructor: MLOps / AI Platform Engineering @General Assembly
Teaching
Salary usd 15,500 flat..
Employment Type part-time
Posted 2d ago

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

2d ago - General Assembly is hiring a remote Lead Instructor: MLOps / AI Platform Engineering. πŸ’Έ Salary: usd 15,500 flat fee for the project πŸ“Location: USA, UK, Canada, Australia, Singapore

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.
Before You Apply
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Back to Remote jobs   >   Teaching
Lead Instructor: MLOps / AI Platform Engineering @General Assembly
Teaching
Salary usd 15,500 flat..
Employment Type part-time
Posted 2d ago
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