Join as an AWS Machine Learning Engineering Lead to shape AI projects within an enterprise data platform. Focus on building robust ML infrastructures and governance practices in a full time role.

Our client is expanding its AWS-powered capabilities and needs a Senior Machine Learning Engineer. This position focuses on constructing the foundational components and deployment frameworks for enterprise analytics. You will also guide a team to ensure data systems are secure, scalable, and governance-compliant while integrating various ML services.

Key Responsibilities:



• Create scalable data and ML infrastructure components • Oversee feature engineering frameworks and feature stores • Define deployment patterns for ML workloads • Ensure compliance with multi-account governance • Lead and mentor a team of engineers in ML practices

Requirements: • Educational background in relevant fields like Computer Science • Significant experience in Machine Learning and cloud environments • Proficiency in Python and various ML frameworks • Familiarity with AWS services like SageMaker • Understanding model governance and AI best practices

Harness your leadership and technical skills to enhance enterprise ML capabilities and governance. #J-18808-Ljbffr

📌 AWS Machine Learning Engineering Lead (Winnipeg)
🏢 Tundra Technical Solutions
📍 Winnipeg