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 solid 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

5+
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 environment.

• 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.

Required Skill Profession

Computer And Mathematical

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