[Remote] Lead Instructor: MLOps / AI Platform Engineering
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
Company Overview