Lead ML Engineer MLOps

Position: Lead ML Engineer for MLOps
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 artifacts
Requirements:

• 3–5 years in a Machine Learning Engineering role

• Strong programming skills in Python and Py Spark

• Familiarity with AWS tools and features

• Experience with data engineering and feature sets

• Knowledge of explainable AI techniques
Utilize your expertise to drive impactful ML solutions and foster platform reliability.
#J-18808-Ljbffr