Azure Platform Engineer

Job Title: Senior AI/ML Platform Engineer Location: Tampa, FL, Raleigh, NC, Durham, NC, Orlando, FL, Columbia, SC, Atlanta, GA, Charlotte, NC.

Looking for W2 candidates. No C2C

Job Summary

We are seeking a Senior AI/ML Platform Engineer to build enterprise-scale Machine Learning platforms supporting model development, deployment, monitoring, and governance. The ideal candidate should have strong expertise in MLOps, LLMOps, cloud-native AI platforms, Feature Stores, and scalable ML infrastructure.

Key Responsibilities

• Design enterprise AI/ML platforms and reusable ML pipelines.
• Build scalable MLOps and LLMOps workflows.
• Develop model training and deployment pipelines.
• Implement Feature Stores and Model Registry.
• Build CI/CD pipelines for ML applications.
• Monitor model performance, drift, and data quality.
• Develop REST APIs for model serving.
• Deploy workloads on Azure, AWS, or Google Cloud Platform.
• Implement Responsible AI and model governance.
• Collaborate with Data Science and DevOps teams.

Required Skills

• Python
• SQL
• Machine Learning
• MLOps
• LLMOps
• MLflow
• Kubeflow
• Feature Store
• Model Registry
• Docker
• Kubernetes
• FastAPI
• REST APIs
• Git
• Azure / AWS / Google Cloud Platform
• CI/CD

Preferred Skills

• SageMaker
• Azure ML
• Vertex AI
• Ray
• Airflow
• Dataiku

Mandatory Skills

• Python
• Machine Learning
• MLOps
• LLMOps
• MLflow
• Kubeflow
• Feature Store
• Docker
• Kubernetes
• Azure/AWS/Google Cloud Platform
• FastAPI
• CI/CD