Enterprise Architect 3

architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS, experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies., Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc., Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation., Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders., Experience with cloud-based AI/ML services. Examples are Azure Machine Learning, Cognitive Services or AWS SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, Transcribe or Google Cloud Vertex AI, Agent Builder and other AI/ML services., Cloud Certification eg * AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect