ML Engineer resume focused on production ML systems, model deployment, MLOps, and scalable machine learning infrastructure.
proving you can deploy ML models that work reliably in production, not just train them in Jupyter notebooks.
Emphasize production experience: "Deployed recommendation model serving 10M users with 99.9% uptime" or "Reduced inference latency by 60%". Show monitoring, versioning, and operational metrics.
Toronto, ON is a major job market for ML Engineer (Production Systems) positions, with competitive salaries and a strong demand for skilled professionals.
Salary Note: Toronto, ON typically offers 10% higher salaries than the national average for this role.