Senior Specialist - Product Engineering

Role description

Design implement and manage endtoend automation of the machine learning lifecycle including model training validation deployment and retraining pipelines

Develop and maintain CICD pipelines to enable seamless integration testing and deployment of machine learning models into production environments

Deploy monitor and manage ML models in production ensuring high availability scalability and performance of inference services

Implement model monitoring logging and ing frameworks to track model performance detect datamodel drift and trigger automated retraining processes

Collaborate with data engineers data scientists and platform teams to streamline data pipelines and ensure reliable data flow for ML workflows

Ensure governance versioning and traceability of ML artifacts adhering to enterprise security compliance and audit requirements