Role & responsibilities
Design and implement enterprise-scale MLOps platforms on Azure Cloud.
Build and manage ML model deployment architectures using Azure Kubernetes Service (AKS).
Develop CI/CD and CT (Continuous Training) pipelines for ML workflows.
Automate model packaging, deployment, retraining, and rollback strategies.
Integrate Azure Machine Learning, AKS, Azure DevOps, GitHub Actions, and container technologies.
Collaborate with Data Scientists, Data Engineers, Solution Architects, and DevOps teams.
Implement model monitoring, drift detection, performance tracking, and alerting mechanisms.
Ensure platform security, compliance, and governance standards.
Optimize AKS clusters for performance, scalability, and cost efficiency.
Establish MLOps best practices, reusable frameworks, and deployment standards.