Job Description Senior Machine Learning Engineer Toronto, ON (3 Days WFO) Role Description: Senior Machine Learning Engineer who can work independently| collaborate effectively with data scientists and engineers| and help accelerate the delivery of enterprise AI solutions from proof of concept through production deployment.

Essential Skills: Experienced Senior Machine Learning Engineer to support the AI CoEs Machine Learning and Data Science initiatives.

The ideal candidate will have strong hands-on experience building| deploying| and operationalizing machine learning solutions in cloud environments| with expert knowledge of SQL and Python and deep experience with Azure ML| Databricks| MLflow| CI/CD pipelines| MLOps| model deployment| monitoring| and lifecycle management .

This is a highly technical| hands-on role focused on delivering end-to-end ML solutions| including data preparation| feature engineering| model development| deployment| monitoring| and ongoing production support .

The role requires proven experience taking models from prototype to production| building scalable ML pipelines and services| and integrating machine learning solutions into enterprise applications and operational workflows.

Experience with cloud-native ML platforms| automated deployment processes| and production support is essential.





Experience with Generative AI| LLM applications| agentic AI frameworks| and GenAIOps practices including evaluation| monitoring| deployment| and lifecycle management of GenAI solutions would be considered an asset.

In addition to technical depth| we are looking for someone who can work independently| collaborate effectively with data scientists and engineers| and help accelerate the delivery of enterprise AI solutions from proof of concept through production deployment.

Desirable Skills: Machine Learning Azure Machine Learning (ML) Experience Required: 8-10 years Requirements Top 3 Required Skills: 1. IBM Financial transaction 2.

Payment flow 3.

Support Modernization Detailed Job Description: Design, develop, and maintain applications built on IBM Financial Transaction Manager (FTM) to support core payments processing.

Contribute to the development of payment flows supporting transaction processing.

Build and support integrations between FTM and upstream/downstream systems using enterprise integration patterns.

Participate in the design, development, testing, deployment, and production support.

Troubleshoot and resolve application and integration issues in a complex, regulated setting.

Collaborate with architecture, QA, and operations teams to ensure platform stability, scalability, and performance.

Support modernization initiatives and enhancements to existing payment hub capabilities.

Produce clear technical documentation and participate in code reviews and knowledge sharing.

📌 Senior Machine Learning Engineer (Toronto)
🏢 Astra North Infoteck
📍 Toronto