Found Description
Become a leader in machine learning as a Senior ML Engineer in Toronto, focusing on MLOps for Trust Scoring platforms. Design, build, and implement robust ML pipelines that prioritize reliability and speed.This full-time role is centered on creating and deploying ML pipelines within a dynamic AWS environment. Your responsibilities will include collaborating on feature engineering, implementing model monitoring, and ensuring data integrity throughout workflows. The position requires a hands-on approach to maintain automated processes and accurate model versioning. Your contributions will play a key role in supporting real-time and batch inference methodologies.Key Responsibilities:
• Implement and govern ML pipelines from PoC to production
• Ensure reliable preprocessing and model outputs
• Maintain feature stores and continuous deployment pipelines
• Monitor model performance and detect feature drift
• Create explainability documentation and artifactsRequirements:
• 3...
• Implement and govern ML pipelines from PoC to production
• Ensure reliable preprocessing and model outputs
• Maintain feature stores and continuous deployment pipelines
• Monitor model performance and detect feature drift
• Create explainability documentation and artifactsRequirements:
• 3...