• Ensure compliance of architecture with industry standards and regulatory requirements. • Collaborate with stakeholders to understand business needs and translate them into technical solutions. experience architecting enterprise application solutions across on-premises and cloud infrastructure – Required – 10 yearsarchitecting solutions in one or more of the cloud platforms: GCP, Azure, and AWS. – Required – 8 yearsarchitecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS – Required – 8 yearsexperience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies. 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.
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