Senior / Lead MLE - MLOps (DevOps)

As a Senior MLOps Engineer, this role requires hands-on experience in building and managing ML Systems in Production with excellent MLOps skill sets. The position will be responsible for building machine learning pipelines and ML Application services, as well as providing machine learning engineering support for Production teams.

This role operates at the crossroads of Machine Learning, Software/Data Engineering, and DevOps, leveraging best practices from each domain to optimize the deployment and management of machine learning models in production environments. The position would also be expected to be able to enhance the Technology stack, focusing on continuous improvements in the reliability, automation, and efficiency of the Platform Solutions.

Roles and Responsibilities

• ML Platform Management: Manage ML Platform infrastructure to automate and accelerate model development and deployment.
• Pipeline Development: Define and build scalable ML pipeline...