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 focused on ML pipelines, model deployment, and monitoring.

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

• Assist students with self-paced activities and provide live troubleshooting support.

• Offer immediate feedback during designated lab hours.

• Ensure that by the conclusion of the cohort, students can effectively articulate and implement strategies for model lifecycle management.

⛳️ Requirements

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

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

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

• Skillful in Python, foundational Data Engineering principles, and the application of DevOps/CI/CD methodologies to ML workloads.

• AZ-900, AI-900, and DP-100 certifications are mandatory; AI-102 certification is preferred.

• Experience as an AI Platform or Azure ML engineer at a prominent technology company is advantageous.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and continuous learning.

• Flexible work environment with remote options.

• Access to cutting-edge tools and technologies.