Georgia General Assembly
501 - 1000 employees
Founded 1732
🏛️ Government
Government
Georgia General Assembly is the governing body of the state of Georgia, responsible for legislative functions and lawmaking. This state legislature is bicameral, consisting of the House of Representatives and the Senate. It processes legislation, maintains legislative calendars, and provides various legislative resources and documents. The Assembly is also involved in organizing committees and managing both House and Senate activities, including budgets, research, and media services. Moreover, it provides information on a range of state governance issues, interacts with state agencies, and offers public resources related to the state's legislative process.
Lead Instructor – MLOps, AI Platform Engineering
Job not on LinkedIn
🕒 May 1
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Georgia General Assembly
501 - 1000 employees
Founded 1732
🏛️ Government
Government
Georgia General Assembly is the governing body of the state of Georgia, responsible for legislative functions and lawmaking. This state legislature is bicameral, consisting of the House of Representatives and the Senate. It processes legislation, maintains legislative calendars, and provides various legislative resources and documents. The Assembly is also involved in organizing committees and managing both House and Senate activities, including budgets, research, and media services. Moreover, it provides information on a range of state governance issues, interacts with state agencies, and offers public resources related to the state's legislative process.
📋 Description
• Deliver high-energy, synchronous remote lectures and "prompt-along" sessions covering ML pipelines, model deployment, and monitoring. • Translate high-level MLOps concepts into digestible insights for learners. • Guide students through self-paced exercises and live troubleshooting. • Provide real-time feedback during dedicated lab hours. • Ensure students can successfully articulate and execute model lifecycle management strategies by the end of the cohort.
🎯 Requirements
• 7+ years in software or data engineering, with at least 3+ years in MLOps or ML platform roles • 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 to ML workloads • AZ-900, AI-900, and DP-100 required; AI-102 preferred • Experience as an AI Platform or Azure ML engineer at a major tech firm is a plus.
Apply Now
