Canada - toronto office tro : 112,000 - 162,000 ca...
On-site
Machine learning and generative ai systems
Production-grade ml solutions
End-to-end ml pipelines
As a Machine Learning Engineer, you will design, build, deploy, and scale machine learning and generative AI systems that power real-world products
Job Summary
As a Machine Learning Engineer, you will design, build, deploy, and scale machine learning and generative AI systems that power real-world products.
This role blends applied machine learning, software engineering, and MLOps, with a strong focus on building robust, scalable systems rather than purely academic research.
Equinix offers competitive benefits including insurance, retirement savings plans, and paid time off.
Matching Summary
As a Machine Learning Engineer, you will design, build, deploy, and scale machine learning and generative AI systems that power real-world products.
Salary
Canada - Toronto Office TRO : 112,000 - 162,000 CAD / Annual
Skills & Requirements
Must-have
Machine Learning and Generative AI systems
Production-grade ML solutions
End-to-end ML pipelines
LLM-powered systems integration
MLOps best practices
Deep learning frameworks (PyTorch, TensorFlow)
NLP fundamentals (transformers, attention)
Nice-to-have
Translate bold ideas into breakthrough experiences
Challenge assumptions and uncover bias
Embrace a culture of belonging and purpose
Key Requirements
PhD with 5+ years, Master’s with 6+ years, or Bachelor’s with 7+ years of experience
Strong proficiency in Python
Solid understanding of software engineering fundamentals
Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS)
Experience building and deploying production-grade ML systems