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Charlotte, NC, USA
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• Design and implement AI/ML‐based solutions on AWS to support business and platform objectives
• Define scalable, secure, and resilient cloud architectures using containerized and orchestrated environments
• Translate business requirements into technical architecture and solution designs
Cloud & Platform Engineering
• Build and deploy solutions leveraging AWS ML services, Docker, and Kubernetes
• Collaborate with DevOps and platform teams to enable CI/CD pipelines and automated deployments
• Ensure high availability, performance, and scalability of AI/ML platforms
Technical Leadership
• Establish and promote architecture standards, best practices, and guardrails
• Provide technical guidance and mentorship to engineering teams
• Review designs and implementations to ensure alignment with architectural principles
Collaboration & Operations
• Partner with cross‐functional teams to deliver innovative AI/ML solutions
• Support troubleshooting and resolution of platform and deployment issues
•Stay current with emerging AI/ML and cloud technologies and recommend adoption where appropriate
Any Gradute
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