Lead Instructor: MLOps​/AI Platform Engineering

Job Title

Lead Instructor: MLOps / AI Platform Engineering

Client: Confidential – Customer Success Reskilling

Location: Remote (
Must work West Coast / Pacific Time hours
)

Duration: 2 Weeks (Starting Mid-June)

Commitment: Roughly 30 hours per week

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

General Assembly is delivering a specialized reskilling program designed to transition Customer Success and Account Management professionals into MLOps and AI Platform Engineering roles.

Role overview: As the Lead Instructor, you will be the face of lessons. 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.

• 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.

• 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. Ability to read the room in a virtual setting.
• Azure Fluency: Deep, hands-on expertise with Azure ML and AI Foundry. Ability to navigate these platforms proficiently.
• Technical Foundation: Proficiency in Python, Data Engineering fundamentals, and applying Dev Ops/CI/CD principles specifically to ML workloads.
• The Credentials: AZ-900, AI-900, and DP-100 are required; AI-102 is preferred.
• The Pedigree: Experience as an AI Platform or Azure ML engineer at a major tech firm (e.g., Microsoft, Google) is a plus.

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

Remote positions may be performed from approved General Assembly operating countries:
United States, Canada, United Kingdom, Australia, and Singapore.