N2P Systems is seeking an experienced Senior Machine Learning Engineer to join our enterprise technology delivery team in Toronto, ON, Canada. At N2P Systems, you will put 5-8 years of hands-on experience with Python, SQL and Azure ML to work on mission-critical enterprise systems. This is an existing full time, hybrid vacancy with N2P Systems.

The Senior Machine Learning Engineer will support the AI CoE's Machine Learning and Data Science initiatives by building, deploying, and operationalizing end-to-end machine learning solutions in cloud environments. The role is highly technical and hands-on, with ownership spanning data preparation, feature engineering, model development, production deployment, monitoring, and lifecycle management.

N2P Systems uses AI to help screen and assess applications for this role. N2P Systems is an enterprise technology consulting and digital solutions firm operating across Canada, the United States and India.

Key Responsibilities:

- Build and operationalize end-to-end machine learning solutions for enterprise use cases.
- Develop scalable ML pipelines covering data preparation, feature engineering, model development, deployment, and monitoring.
- Deploy and manage machine learning models in cloud environments using Azure ML, Databricks, MLflow, MLOps, and CI/CD practices.
- Take machine learning models from prototype through production deployment and ongoing operational support.




- Implement model monitoring and lifecycle management practices for production ML solutions.
- Integrate machine learning solutions into enterprise applications and operational workflows.
- Collaborate with data scientists and engineers to accelerate enterprise AI delivery from proof of concept through production.

Required Skills & Qualifications:

- Strong hands-on experience building, deploying, and operationalizing machine learning solutions in cloud environments.
- Expert-level proficiency in Python and SQL.
- Deep practical experience with Azure ML, Databricks, MLflow, CI/CD pipelines, and MLOps.
- Proven ability to take ML models from prototype to production and support them throughout their lifecycle.
- Experience building scalable ML pipelines and production-grade ML services.
- Strong understanding of model deployment, monitoring, and production support.
- Ability to work independently while collaborating effectively with data scientists and engineers.

Preferred Qualifications:

- Experience with Generative AI and LLM applications.
- Familiarity with agentic AI frameworks.
- Experience with GenAIOps practices, including evaluation, monitoring, deployment, and lifecycle management of GenAI solutions.
- Broader experience across cloud-native ML platforms and enterprise AI implementations.

Apply directly online at:

📌 Senior Machine Learning Engineer (Toronto)
🏢 N2P Systems
📍 Toronto