General Assembly

General Assembly

Lead Instructor: MLOps / AI Platform Engineering

U.S · Mid · Part-time

Sponsorship not specified$12k-$16kDetected 77 days ago
PythonAzureCI/CDDevOpsPlatform EngineeringMachine LearningData EngineeringMLOpsAccount ManagementCustomer Success

About the role

  • Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today's most in-demand skills.
  • In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning.

Responsibilities

  • Lead Live Instruction: Deliver high-energy, synchronous remote lectures and "prompt-along" sessions covering ML pipelines, model deployment, and monitoring.
  • Deliver high-energy, synchronous remote lectures and "prompt-along" sessions covering ML pipelines, model deployment, and monitoring.
  • General Assembly is delivering a specialized reskilling program designed to transition Customer Success and Account Management professionals into MLOps and AI Platform Engineering roles.
  • As the Lead Instructor, you will be the face of lessons.
  • You aren't just checking the math; you are bridge-building.

Requirements

  • The Experience: 7+ years in software or data engineering, with at least 3+ years specifically in MLOps or ML platform roles in a production environment.
  • The "Teacher" Gene: Proven experience in technical instruction, bootcamp delivery, or corporate training.
  • Azure Fluency: Deep, hands-on expertise with Azure ML and AI Foundry.
  • Technical Foundation: Proficiency in Python, Data Engineering fundamentals, and applying DevOps/CI/CD principles specifically to ML workloads.
  • Candidates must be fully available for 30 hours per week during the mid-June window and be prepared to operate on Pacific Time (PT) schedules to align with the learner cohort.
  • Proficiency in Python, Data Engineering fundamentals, and applying DevOps/CI/CD principles specifically to ML workloads.
  • The Credentials: AZ-900, AI-900, and DP-100 are required; AI-102 is preferred.
  • The "Teacher" Gene: Proven experience in technical instruction, bootcamp delivery, or corporate training. You should be comfortable "reading the room" in a virtual setting.
  • Azure Fluency: Deep, hands-on expertise with Azure ML and AI Foundry. You should be able to navigate these platforms in your sleep.
  • Note on Schedule: This is a high-intensity, 2-week engagement. Candidates must be fully available for 30 hours per week during the mid-June window and be prepared to operate on Pacific Time (PT) schedules to align with the learner cohort.
  • Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.
  • United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.

Nice to have

  • 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.
  • The Credentials: AZ-900, AI-900, and DP-100 are required
  • The Pedigree: Experience as an AI Platform or Azure ML engineer at a major tech firm (Microsoft, Google, etc.) is a massive plus.

Skills

  • Our global professional community boasts 60,000 full- and part-time alumni - and counting.
  • More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives.
  • GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work.

Compensation

  • $11,500 - $15,500 (Estimated lump sum payment for one 60-hour program)

Benefits

  • Drive Learning Outcomes: Ensure students can successfully articulate and execute model lifecycle management strategies by the end of the cohort.

Company info

  • General Assembly
  • Client: Confidential - Customer Success Reskilling
  • Duration: 2 Weeks (Starting Mid-June)
  • Commitment: Roughly 30 hours per week
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This listing is sourced directly from General Assembly's careers page and normalized into a canonical job model.