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.
MLOps Engineer, AI Platform Expert
Job not on LinkedIn
🕒 April 22
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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
• Review and validate competencies and learning objectives for the MLOps / AI Platform Engineer pathway • Validate technical accuracy of instructional slide content covering ML pipelines, model deployment, monitoring, and governance • Review async assets including prompt-alongs and self-paced exercises for technical correctness and appropriate difficulty level for the learner population (experienced customer-facing professionals, not engineers) • Participate in one structured SME review gate (approximately 1 week, early June) • Provide a single round of revision feedback for the LED to implement before QA
🎯 Requirements
• 7+ years in software or data engineering with 3+ years in MLOps or ML platform roles in production • Hands-on experience with ML pipelines, model deployment, monitoring, and governance at scale • Strong DevOps and CI/CD fundamentals applied to ML workloads • Python proficiency, data engineering foundations, and Azure cloud infrastructure fluency • Familiarity with Azure ML, AI Foundry platform engineering patterns, and model lifecycle management • AZ-900, AI-900, and DP-100 minimum; AI-102 preferred • Former AI Platform or Azure ML engineer with Microsoft, Google, or similar company is a strong plus
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