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AI Engineer Architect needs 8 years’ AI/ML development experience
AI Engineer Architect requires:
• Knowledge and implementation experience of AI/ML in AWS Cloud services;
• Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R and Python);
• DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD.
• Bachelor’s Degree in a related field (Computer Science, AI/ML).
• Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R and Python).
• DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD.
• AI Architecture - data management, governance, model building and deployment
• Knowledge and implementation experience of AI/ML in AWS Cloud services
• API’s, Apigee, Developer Portals. Expertise in JSON, RESTful services, and similar related tech
• Containers: Docker, Kubernetes, OpenShift, Ansible, Nexus, Software defined networking.

AI Engineer Architect duties:
• Collaborate with data scientists and other AI professionals
• Define the feasibility of use cases along with architectural design for the AI platform
• Select cloud, on-premises or hybrid deployment models, and ensure new tools are well-integrated with existing data management and analytics tools.
• Work with Business and delivery partners to understand future requirements and implications for architecture
Reference : AI Engineer Architect PAYS $60/HR Charlotte, NC jobs

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Published at 24-08-2024
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