MLOps / AI Platform Engineer Subject Matter Expert
RemotePart-TimeMiddle
Salary60 - 80 USD per hour
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Job Details
- Experience
- 7+ years in software or data engineering with 3+ years in MLOps or ML platform roles in production
- Required Skills
- PythonAzureCI/CDDevOpsMLOps
Requirements
- 7+ years in software or data engineering
- 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
- Azure cloud infrastructure fluency
- Familiarity with Azure ML
- Familiarity with AI Foundry platform engineering patterns
- Familiarity with model lifecycle management
- AZ-900 certification minimum
- AI-900 certification minimum
- DP-100 certification minimum
- AI-102 certification preferred
- Former AI Platform or Azure ML engineer with Microsoft, Google, or similar company is a strong plus
Responsibilities
- Serve as the subject matter expert for Pathway 3
- Validate technical accuracy of pipeline content, governance frameworks, monitoring exercises, and async assets
- 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
- 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
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