Infrastructure Management

• Manage and maintain complex cloud environments for AI workloads.
• Ensure secure, stable connectivity between internal systems and AI platforms.
• Perform ongoing system maintenance and monitoring to guarantee optimal AI model performance.
• Implement and maintain security protocols for AI data handling and model deployment.

Rapid Prototyping & Technical Validation

• Conduct technical due diligence for new AI technologies, frameworks, and vendor solutions.
• Build proof-of-concepts to validate AI model feasibility and performance.
• Perform stress-testing of AI vendor APIs, model endpoints, and third-party integrations.
• Document technical findings and provide recommendations for AI technology adoption.

Pipeline Development & AI Infrastructure

• Develop and maintain automated data pipelines for AI model training and inference.