Ai Integration Engineer

• AI Model Integration: Connect AI models and solutions with existing infrastructure, ensuring compatibility and seamless integration across platforms.
• Deployment & Automation: Deploy machine learning models into production environments, including setting up CI/CD pipelines, containerization, and monitoring systems.
• Data Engineering: Handle data preprocessing, ensure data availability, and set up systems for data collection, storage, and processing.
• Monitoring & Optimization: Monitor the performance of deployed models and systems, identify issues, and implement improvements for scalability and reliability.

This role bridges the gap between AI model development and production deployment within enterprise cloud environments, focusing on integrating machine learning and AI solutions into existing systems to ensure scalability, performance, and operational efficiency for federal customers.

• Bachelor’s Degree in Computer Science, Math, Engineering or equivalent (8 years of additional relevant experience may be substituted for education)
• 5+ years of experience with Cloud Infrastructure architecture and management within Microsoft Azure environments
• Experience with Azure AI services, including OpenAI, Azure ML, and AI Agent Service
• Experience with programming skills in Python, SQL, R, or similar languages

No specific benefits, compensation, or perks mentioned in the job description.

The Green Technology Group (TGTG) is an organization that works with federal customers, particularly mentioning the Department of Veterans Affairs, to implement AI and cloud solutions within government environments with security compliance requirements.