Machine Learning Engineer

Job Description

Job Description

Remote - Must work PST

Summary :

Under the direction of Information Services Leadership, the incumbent will be responsible for the full lifecycle management of machine learning models, including design, build, and maintenance of machine learning models. The MLOps Engineer will play an integral role in implementing artificial intelligence solution. The incumbent will partner with data scientists, data team members, and clinical operations to deploy, monitor, and maintain machine learning solutions that will improve patient care, support operational excellence, and advance clinical research. The incumbent will ensure seamless integration, automation, and scaling of AI solutions within the existing infrastructure by leveraging DevOps expertise. They will maintain and continuously improve MLOps pipelines for monitoring, versioning, and deploying models in production environments. The incumbent will be responsible for the end-to-end lifecycle management of artificial intelligence solutions and comes with DevOps experience, ensuring seamless integration, deployment, and automation of systems. The MLOps Engineer will implement best practices for testing, debugging, and performance monitoring of AI systems to ensure reliability and scalability.

Minimum Education :

• Bachelor's degree in computer science, artificial intelligence, informatics or closely related field.
• Master's degree in computer science, engineering or closely related field preferred.

Minimum Experience :

REQUIRED qualifications :

Accountabilities :