Senior Machine Learning Engineer

Position: Senior Machine Learning Engineer

Location: Toronto, On (Hybrid)

Employment Type: Full-Time

Experience Required: 8 + Years

Position Overview:

We are seeking a highly skilled Senior Machine Learning Engineer to design, build, deploy, and support scalable machine learning solutions for enterprise AI initiatives.

Key Responsibilities:

• Develop and operationalize end-to-end ML solutions, from data preparation and feature engineering to model deployment and production support.
• Build, automate, and maintain ML pipelines using Azure ML, Databricks, MLflow, and MLOps best practices.
• Deploy, monitor, troubleshoot, and optimize machine learning models in cloud environments.
• Implement CI/CD pipelines for ML workflows and ensure reliable model lifecycle management.
• Collaborate with Data Scientists, Data Engineers, and business stakeholders to accelerate AI solution delivery.
• Support model monitoring, performance tracking, retraining, and governance activities.
• Contribute to scalable AI platform development and integration with enterprise applications.

Required Skills:

• 7+ years of experience in Machine Learning Engineering, Data Science, or related fields.
• Strong expertise in Python, SQL, Machine Learning, Azure ML, Databricks, MLflow, and MLOps.
• Hands-on experience with model deployment, monitoring, CI/CD pipelines, and cloud-native ML platforms.
• Proven track record of moving ML models from prototype to production.
• Experience building scalable data and ML services in enterprise environments.
• Strong problem-solving, collaboration, and communication skills.
• Experience with Generative AI, Large Language Models (LLMs), Agentic AI frameworks, and GenAIOps.
• Knowledge of AI evaluation, monitoring, governance, and lifecycle management for Gini applications.