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.
