{"schemaVersion":"jobsearcher.job.v1","id":"372f4e0f410196baf2947a49","url":"https://jobsearcher.com/jobs/372f4e0f410196baf2947a49","canonicalUrl":"https://jobsearcher.com/jobs/372f4e0f410196baf2947a49","title":"Lead Instructor: MLOps / AI Platform Engineering","description":"Job Title Lead Instructor: MLOps / AI Platform Engineering\nClient: Confidential – Customer Success Reskilling\nLocation: Remote ( Must work West Coast / Pacific Time hours )\nDuration: 2 Weeks (Starting Mid-June)\nCommitment: Roughly 30 hours per week\nCompensation: $11,500 - $15,500 (Estimated lump sum payment for one 60-hour program)\nAbout the Engagement General Assembly is delivering a specialized reskilling program designed to transition Customer Success and Account Management professionals into MLOps and AI Platform Engineering roles.\nRole overview: As the Lead Instructor, you will be the face of lessons. You will lead experienced customer-facing professionals through the complexities of taking AI systems from pilot to production, ensuring they leave the 2-week intensive with a functional understanding of MLOps governance and deployment.\nWhat You’ll Do Lead Live Instruction: Deliver high-energy, synchronous remote lectures and \"prompt-along\" sessions covering ML pipelines, model deployment, and monitoring.\nSimplify 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.\nFacilitate Hands-on Labs: Guide students through self-paced exercises and live troubleshooting within the Azure AI Foundry and ML environments.\nMentor & Office Hours: Provide real-time feedback during dedicated lab hours, helping students navigate technical roadblocks in Python and Azure infrastructure.\nDrive Learning Outcomes: Ensure students can successfully articulate and execute model lifecycle management strategies by the end of the cohort.\nWhat You Bring The Experience: 7+ years in software or data engineering, with at least 3+ years specifically in MLOps or ML platform roles in a production environment.\nThe \"Teacher\" Gene: Proven experience in technical instruction, bootcamp delivery, or corporate training. Ability to read the room in a virtual setting.\nAzure Fluency: Deep, hands-on expertise with Azure ML and AI Foundry. Ability to navigate these platforms proficiently.\nTechnical Foundation: Proficiency in Python, Data Engineering fundamentals, and applying DevOps/CI/CD principles specifically to ML workloads.\nThe Credentials: AZ-900, AI-900, and DP-100 are required; AI-102 is preferred.\nThe Pedigree: Experience as an AI Platform or Azure ML engineer at a major tech firm (e.g., Microsoft, Google) is a plus.\nNote on Schedule This is a high-intensity, 2-week engagement. Candidates must be fully available for 30 hours per week during the mid-June window and operate on Pacific Time (PT) schedules to align with the learner cohort.\nLocation and Eligibility Remote positions may be performed from approved General Assembly operating countries: United States, Canada, United Kingdom, Australia, and Singapore. #J-18808-Ljbffr","company":"General Assembly","rawCompany":"general assembly","city":"Los Angeles","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-07T03:40:45.194Z","occupations":[{"code":"13-1151.00","title":"Training and Development Specialists","slug":"training-and-development-specialists"},{"code":"25-3099.00","title":"Teachers and Instructors, All Other","slug":"teachers-and-instructors-all-other"},{"code":"11-3131.00","title":"Training and Development Managers","slug":"training-and-development-managers"}],"industries":[{"code":"611430","title":"Professional and Management Development Training","slug":"professional-and-management-development-training"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Instructor: MLOps / AI Platform Engineering","description":"Job Title Lead Instructor: MLOps / AI Platform Engineering\nClient: Confidential – Customer Success Reskilling\nLocation: Remote ( Must work West Coast / Pacific Time hours )\nDuration: 2 Weeks (Starting Mid-June)\nCommitment: Roughly 30 hours per week\nCompensation: $11,500 - $15,500 (Estimated lump sum payment for one 60-hour program)\nAbout the Engagement General Assembly is delivering a specialized reskilling program designed to transition Customer Success and Account Management professionals into MLOps and AI Platform Engineering roles.\nRole overview: As the Lead Instructor, you will be the face of lessons. You will lead experienced customer-facing professionals through the complexities of taking AI systems from pilot to production, ensuring they leave the 2-week intensive with a functional understanding of MLOps governance and deployment.\nWhat You’ll Do Lead Live Instruction: Deliver high-energy, synchronous remote lectures and \"prompt-along\" sessions covering ML pipelines, model deployment, and monitoring.\nSimplify 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.\nFacilitate Hands-on Labs: Guide students through self-paced exercises and live troubleshooting within the Azure AI Foundry and ML environments.\nMentor & Office Hours: Provide real-time feedback during dedicated lab hours, helping students navigate technical roadblocks in Python and Azure infrastructure.\nDrive Learning Outcomes: Ensure students can successfully articulate and execute model lifecycle management strategies by the end of the cohort.\nWhat You Bring The Experience: 7+ years in software or data engineering, with at least 3+ years specifically in MLOps or ML platform roles in a production environment.\nThe \"Teacher\" Gene: Proven experience in technical instruction, bootcamp delivery, or corporate training. Ability to read the room in a virtual setting.\nAzure Fluency: Deep, hands-on expertise with Azure ML and AI Foundry. Ability to navigate these platforms proficiently.\nTechnical Foundation: Proficiency in Python, Data Engineering fundamentals, and applying DevOps/CI/CD principles specifically to ML workloads.\nThe Credentials: AZ-900, AI-900, and DP-100 are required; AI-102 is preferred.\nThe Pedigree: Experience as an AI Platform or Azure ML engineer at a major tech firm (e.g., Microsoft, Google) is a plus.\nNote on Schedule This is a high-intensity, 2-week engagement. Candidates must be fully available for 30 hours per week during the mid-June window and operate on Pacific Time (PT) schedules to align with the learner cohort.\nLocation and Eligibility Remote positions may be performed from approved General Assembly operating countries: United States, Canada, United Kingdom, Australia, and Singapore. #J-18808-Ljbffr","datePosted":"2026-07-07T03:40:45.194Z","dateModified":"2026-07-07T03:40:45.194Z","hiringOrganization":{"@type":"Organization","name":"General Assembly","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"372f4e0f410196baf2947a49"},"url":"https://jobsearcher.com/jobs/372f4e0f410196baf2947a49"}}