Machine Learning Engineering Professional

About

Elevate customer experiences as a Machine Learning Engineering Professional with our Advanced Analytics team in Waterloo, Ontario. Drive impactful ML product development and deployment with cutting-edge technologies.

This position requires a strong technical background and a university degree in Software Engineering, Computer Science, or Data Science. You will engage closely with Data Scientists, business stakeholders, and technical teams to operationalize ML solutions that drive business value. Your expertise will enhance the continuous improvement and maintenance of ML products while ensuring best practices in model deployment and monitoring.

Responsibilities

• Operationalize ML products within production environments
• Develop and deploy cloud-native solutions effectively
• Champion ML best practices and lifecycle management
• Innovate and enhance processes for continuous improvement
• Communicate effectively with technical and business teams

Requirements

• 4+ years in building ML pipelines with cloud-native tools
• Strong knowledge of Docker, Kubernetes, and CI/CD workflows
• Excellent communication skills for diverse audiences
• Familiarity with Google Cloud Platform (GCP) is beneficial
• Degree in a related technical discipline

Leverage your skills in cloud-native technologies and ML best practices to shape impactful customer experiences.