DevOps for AI

Architected, developed, and deployed a complete software development infrastructure (IaaS) for an AI and ML based system, using tools such as Jenkins, GitHub to automate the development and deployment of software models on test and production environments.

The complete environment was set up on AWS to support stringent availability, processing time, latency, and accuracy requirements, critical to the product value proposition. Additionally, we established a dedicated Advanced Data Science Team and Processes to iterate, scale, and rapidly deploy Predictive ML models in the AWS cloud.