What are the responsibilities and job description for the Senior Azure AI Platform Engineer | W2 Only | position at Xlysi?
Job Description:
Skills: Azure AI Foundry solution development and deployment.
Model training, evaluation, and operationalization (MLOps).
Integration with Azure Data Lake, Synapse, and other Azure data services.
Scripting and automation (Python, PowerShell, Azure CLI).
API development and integration (REST, OpenAPI).
Security and access management (Entra ID, RBAC, Key Vault).
Monitoring, logging, and troubleshooting AI workloads.
Experience:
Building and deploying AI/ML models in enterprise environments.
Working with cross-functional teams (data scientists, engineers, business analysts).
Experience with CI/CD for ML (Azure Pipelines, GitHub Actions).
Strong analytical, documentation, and communication skills.
Skills: Azure AI Foundry solution development and deployment.
Model training, evaluation, and operationalization (MLOps).
Integration with Azure Data Lake, Synapse, and other Azure data services.
Scripting and automation (Python, PowerShell, Azure CLI).
API development and integration (REST, OpenAPI).
Security and access management (Entra ID, RBAC, Key Vault).
Monitoring, logging, and troubleshooting AI workloads.
Experience:
Building and deploying AI/ML models in enterprise environments.
Working with cross-functional teams (data scientists, engineers, business analysts).
Experience with CI/CD for ML (Azure Pipelines, GitHub Actions).
Strong analytical, documentation, and communication skills.