MLOps / AI Platform Engineer Subject Matter Expert
United StatesContractMiddle
Salary60 - 75 USD per hour
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonAzureData engineeringCI/CDDevOpsMLOps
Requirements
- 7+ years of experience in software or data engineering
- 3+ years in MLOps or ML platform engineering roles in production environments
- Strong hands-on expertise with ML pipelines, model deployment, monitoring, and governance at scale
- Solid understanding of DevOps principles
- Solid understanding of CI/CD workflows and their application to machine learning systems
- Proficiency in Python
- Proficiency in data engineering fundamentals
- Proficiency in cloud platforms (preferably Azure)
- Experience with Azure ML
- Experience with AI platform engineering patterns
- Experience with full model lifecycle management
- Familiarity with certifications such as AZ-900, AI-900, DP-100 (AI-102 preferred)
- Strong communication skills
- Experience in leading-edge AI platform environments (e.g., Microsoft, Google, or similar)
Responsibilities
- Review and validate competencies, learning objectives, and technical curriculum for an MLOps and AI Platform Engineering pathway
- Assess instructional materials covering ML pipelines, model deployment, monitoring, and governance to ensure technical correctness and industry alignment
- Evaluate asynchronous learning assets such as exercises and guided activities for accuracy, complexity, and suitability for transitioning professionals
- Participate in a structured SME review cycle and provide consolidated, actionable feedback for implementation by instructional designers
- Ensure content reflects real-world production practices in ML systems, including scalability, reliability, and operational governance
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