Lead Instructor: MLOps / AI Platform Engineering
New
U.S. Remote, West Coast / Pacific Time hoursPart-TimeLead
Salary15,500 per other
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Job Details
- Experience
- 7+ years in software or data engineering, with at least 3+ years specifically in MLOps or ML platform roles in a production environment.
- Required Skills
- PythonData engineeringCI/CDDevOps
Requirements
- 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. Comfortable "reading the room" in a virtual setting.
- Deep, hands-on expertise with Azure ML and AI Foundry. Able to navigate these platforms easily.
- 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 is preferred.
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.
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