{"schemaVersion":"jobsearcher.job.v1","id":"a612e2b3307aa91daefaba0e","url":"https://jobsearcher.com/jobs/a612e2b3307aa91daefaba0e","canonicalUrl":"https://jobsearcher.com/jobs/a612e2b3307aa91daefaba0e","title":"Lead Instructor: MLOps / AI Platform Engineering","description":"Job Title: Lead Instructor: MLOps / AI Platform Engineering\nClient: Confidential – Customer Success Reskilling\n\nLocation: Remote – Must work West Coast / Pacific Time hours\n\nDuration: 2 Weeks (Starting Mid-June)\n\nCommitment: Roughly 30 hours per week\n\nCompensation: $11,500 - $15,500 (Estimated lump sum payment for one 60‑hour program)\n\nAbout the Engagement\nGeneral Assembly is delivering a specialized reskilling program designed to transition Customer Success and Account Management professionals into MLOps and AI Platform Engineering roles.\n\nWhat You’ll Do\n\nLead Live Instruction: Deliver high‑energy synchronous remote lectures and \"prompt‑along\" sessions covering ML pipelines, model deployment, and monitoring.\n\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.\n\nFacilitate Hands‑on Labs: Guide students through self‑paced exercises and live troubleshooting within the Azure AI Foundry and ML environments.\n\nMentor & Office Hours: Provide real‑time feedback during dedicated lab hours, helping students navigate technical roadblocks in Python and Azure infrastructure.\n\nDrive Learning Outcomes: Ensure students can successfully articulate and execute model lifecycle management strategies by the end of the cohort.\n\nWhat You Bring\n\nThe Experience: 7+ years in software or data engineering, with at least 3+ years specifically in MLOps or ML platform roles in a production environment.\n\nThe \"Teacher\" Gene: Proven experience in technical instruction, bootcamp delivery, or corporate training. Comfortable reading the room in a virtual setting.\n\nAzure Fluency: Deep hands‑on expertise with Azure ML and AI Foundry.\n\nTechnical Foundation: Proficiency in Python, data engineering fundamentals, and applying DevOps/CI/CD principles specifically to ML workloads.\n\nThe Credentials: AZ‑900, AI‑900, and DP‑100 are required; AI‑102 is preferred.\n\nThe Pedigree: Experience as an AI Platform or Azure ML engineer at a major tech firm (Microsoft, Google, etc.) is a massive plus.\n\nNote on Schedule\nThis 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.\n\nEqual Opportunity Employment\nAs set forth in General Assembly’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Voluntary self‑identification for disability and veteran status is available but will not be considered during hiring.\n\n#J-18808-Ljbffr","company":"General Assembly","rawCompany":"general assembly","city":"California","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-06-17T03:38:14.676Z","occupations":[{"code":"25-3099.00","title":"Teachers and Instructors, All Other","slug":"teachers-and-instructors-all-other"},{"code":"13-1151.00","title":"Training and Development Specialists","slug":"training-and-development-specialists"},{"code":"25-1021.00","title":"Computer Science Teachers, Postsecondary","slug":"computer-science-teachers-postsecondary"}],"industries":[{"code":"611430","title":"Professional and Management Development Training","slug":"professional-and-management-development-training"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"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\n\nLocation: Remote – Must work West Coast / Pacific Time hours\n\nDuration: 2 Weeks (Starting Mid-June)\n\nCommitment: Roughly 30 hours per week\n\nCompensation: $11,500 - $15,500 (Estimated lump sum payment for one 60‑hour program)\n\nAbout the Engagement\nGeneral Assembly is delivering a specialized reskilling program designed to transition Customer Success and Account Management professionals into MLOps and AI Platform Engineering roles.\n\nWhat You’ll Do\n\nLead Live Instruction: Deliver high‑energy synchronous remote lectures and \"prompt‑along\" sessions covering ML pipelines, model deployment, and monitoring.\n\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.\n\nFacilitate Hands‑on Labs: Guide students through self‑paced exercises and live troubleshooting within the Azure AI Foundry and ML environments.\n\nMentor & Office Hours: Provide real‑time feedback during dedicated lab hours, helping students navigate technical roadblocks in Python and Azure infrastructure.\n\nDrive Learning Outcomes: Ensure students can successfully articulate and execute model lifecycle management strategies by the end of the cohort.\n\nWhat You Bring\n\nThe Experience: 7+ years in software or data engineering, with at least 3+ years specifically in MLOps or ML platform roles in a production environment.\n\nThe \"Teacher\" Gene: Proven experience in technical instruction, bootcamp delivery, or corporate training. Comfortable reading the room in a virtual setting.\n\nAzure Fluency: Deep hands‑on expertise with Azure ML and AI Foundry.\n\nTechnical Foundation: Proficiency in Python, data engineering fundamentals, and applying DevOps/CI/CD principles specifically to ML workloads.\n\nThe Credentials: AZ‑900, AI‑900, and DP‑100 are required; AI‑102 is preferred.\n\nThe Pedigree: Experience as an AI Platform or Azure ML engineer at a major tech firm (Microsoft, Google, etc.) is a massive plus.\n\nNote on Schedule\nThis 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.\n\nEqual Opportunity Employment\nAs set forth in General Assembly’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Voluntary self‑identification for disability and veteran status is available but will not be considered during hiring.\n\n#J-18808-Ljbffr","datePosted":"2026-06-17T03:38:14.676Z","dateModified":"2026-06-17T03:38:14.676Z","hiringOrganization":{"@type":"Organization","name":"General Assembly","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"California","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a612e2b3307aa91daefaba0e"},"url":"https://jobsearcher.com/jobs/a612e2b3307aa91daefaba0e"}}