The AI Engineer

AI Engineering as a discipline specializes in designing, developing, and implementing artificial intelligence applications and machine learning models to solve complex problems. AI Engineers focus on developing, debugging, and deploying AI applications and interfaces, as well as training, evaluating, and monitoring AI models to ensure optimal performance. They also focus on maintaining and optimizing live AI systems, staying updated on the latest AI research and trends, and adhering to ethical AI practices, such as ensuring transparency, minimizing bias, and protecting user privacy.

The idea of writing and publishing content on the subject of AI engineering emerged when I started my role as an architect in the AI Solutions Engineering team at Dell Technologies. I started reading and learning about different aspects of Generative AI technologies. I was reading books, watching videos, and experimenting with a few frameworks for AI model development, serving, fine-tuning, and AI application development. It was a lot of ad-hoc learning. These frameworks and any related AI technologies are rapidly evolving. What you learned last month may not be relevant or may be outdated next month. I shifted my focus to strengthen the fundamental concepts and frameworks are just a way to realize these foundational concepts. This helped me accelerate my learning.

ai-engineer.in aims to provide educational content for both aspiring and experienced AI engineers. This includes a range of topics across different aspects of AI Engineering. As a community, we should learn from one another and share our knowledge with others. We do not intend to put this content behind a paywall. Don’t hesitate to reach out if you are interested in contributing content to this site.