Architect - Machine Learning and Data
C
CoretekConsulting, AI, Data
United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of professional experience in data, machine learning, or AI engineering, including 3+ years in a solution architecture or lead technical design capacity.
- Required Skills
- PythonSQLMicrosoft AzureCI/CDAzure DevOpsMLOpsGenerative AI
Requirements
- 5+ years of professional experience in data, machine learning, or AI engineering.
- 3+ years in a solution architecture or lead technical design capacity.
- Hands-on architecture experience with Microsoft Azure data and AI services, including Microsoft Fabric and lakehouse architectures.
- Production generative AI experience, including LLMs, RAG, and prompt-based workflows.
- Strong Python and SQL skills.
- Deep MLOps expertise: model lifecycle management, versioning, reproducibility, monitoring, and drift detection.
- Experience with CI/CD and automation using Azure DevOps or GitHub Actions.
- Working command of Azure identity and security, including Entra ID, service principals, Key Vault, and RBAC.
- Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative discipline.
Responsibilities
- Own end-to-end technical architecture for machine learning and AI engagements from target-state design through production acceptance.
- Define reference architectures for Fabric-first data science and MLOps platforms, including environment topology and promotion paths.
- Architect production generative AI solutions on Azure OpenAI, including RAG, agentic patterns, and LLMOps practices.
- Design CI/CD, automation, and identity/security models using Azure DevOps, GitHub Actions, and Entra ID.
- Communicate architecture decisions, tradeoffs, and risks to client executive stakeholders.
- Lead knowledge transfer and operational handoff to ensure client teams can independently maintain delivered platforms.
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