Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer Company: N2P Systems Job Category: Machine Learning Roles & Responsibilities: Role Overview ----------------- 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. 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 ------------------------------------- * 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. ### Target Tech Stack PythonSQLAzure MLDatabricksMLflowCI/CDMLOpsModel DeploymentModel MonitoringGenerative AILLM ApplicationsAgentic AI FrameworksGenAIOpsMachine LearningData ScienceMachine Learning Model DeploymentMachine Learning MonitoringFeature EngineeringMachine Learning PipelinesCloud ML PlatformsProduction SupportLLMAgentic AI ### Quick Details Work Location: Toronto, Canada Availability: Full time

* 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 ---------------------------- Location Toronto, ON, Canada Employment Type Full\-time Work Arrangement Hybrid Experience Level 5\-8 years Compensation $110K \- $110K CAD Domain Focus Data \& AI Requisition Ref REQ\-43658 Key Skills: Machine Learning, Python, Feature Engineering Salary: CAD 110000 - 110000 per yearly