Truist Financial - Charlotte, NC
posted 3 months ago
The Machine Learning Engineering Development Senior Lead position is a critical role within our organization, focusing on the operationalization, management, and continuous improvement of our AI/ML pipelines. This seasoned MLOps professional will work closely with data scientists and engineers to ensure that machine learning models are deployed reliably, monitored effectively, and optimized for maximum business impact. The role requires a deep understanding of both the technical and operational aspects of machine learning, as well as the ability to collaborate across teams to drive MLOps excellence. In this position, you will be responsible for developing and maintaining automated CI/CD pipelines for machine learning models, ensuring seamless transitions from development to production in both AWS and on-premise environments. You will build and manage strategies for deploying models using AWS services such as SageMaker and Bedrock, ensuring that they are scalable and perform optimally. Additionally, you will implement comprehensive monitoring of deployed models, establishing alerts and triggers for proactive maintenance and retraining to address any performance drift. Your role will also involve implementing a streamlined workflow using version control systems like GitHub or Bitbucket, integrated with container repositories and model repositories to enable robust production deployments. Collaboration is key, as you will liaise with data scientists, engineers, and business stakeholders to streamline MLOps processes and ensure that models meet business objectives. Ultimately, your goal will be to continuously enhance models and ensure peak performance at scale, contributing to the overall success of our AI initiatives.