SafeGuardAI / Roles.md
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Roles

My Role - AI Solutions Engineer

Here are the condensed roles and responsibilities of an AI Solutions Engineer:

  1. Design and Develop AI Models: Analyze business needs, develop, and fine-tune machine learning and AI models.
  2. System Integration: Architect AI solutions that integrate with existing IT systems and platforms.
  3. Data Management: Preprocess, clean, and manage data for training AI models; perform feature engineering.
  4. Deployment and Automation: Implement CI/CD pipelines for deploying AI models and maintain automation.
  5. Monitor and Optimize Models: Continuously evaluate, monitor, and retrain models to ensure optimal performance.
  6. Collaborate Cross-Functionally: Work with data scientists, software engineers, and business teams for seamless integration.
  7. Ensure Scalability and Performance: Optimize AI solutions for scalability, efficiency, and low latency.
  8. Security and Compliance: Implement data privacy and security measures for AI solutions.
  9. Stay Updated on AI Trends: Continuously research and apply the latest AI technologies and methodologies.
  10. User Training and Support: Provide training and ongoing support to stakeholders using AI systems.