Lead Instructor – MLOps, AI Platform Engineering

This is a fully remote position, open to applicants in California.

📋 Description

• Conduct engaging, high-energy remote lectures and "prompt-along" sessions that focus on ML pipelines, model deployment, and monitoring.

• Simplify complex MLOps concepts into easily understandable insights for learners.

• Assist students as they navigate self-paced exercises and provide live troubleshooting support.

• Offer immediate feedback during dedicated lab hours to enhance learning outcomes.

• Ensure that students are capable of effectively articulating and implementing model lifecycle management strategies by the conclusion of the cohort.

⛳️ Requirements

• Over 7 years of experience in software or data engineering, with a minimum of 3 years in MLOps or ML platform positions.

• Demonstrated experience in technical instruction, bootcamp facilitation, or corporate training.

• Extensive, hands-on knowledge of Azure ML and AI Foundry.

• Strong proficiency in Python, foundational Data Engineering principles, and the application of DevOps/CI/CD practices 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 leading technology company is advantageous.

🏝️ Benefits

• Competitive salary and benefits package.

• Opportunities for professional development and growth.

• Flexible working hours and remote work options.

• Collaborative and inclusive work environment.