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Principal Machine Learning Engineer (MLE) at Equinix - ApplyBlast

Principal Machine Learning Engineer (MLE)

Equinix

4 months ago

3.7 on Glassdoor

Toronto, Canada

Onsite

Full Time

Senior

0 applicants

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About this role

As a Principal Machine Learning Engineer, you will design, build, deploy, and scale machine learning and generative AI systems that power real-world products across multi-cloud environments. This role blends applied machine learning, software engineering, and MLOps with a focus on creating robust, scalable solutions using frameworks like PyTorch and TensorFlow.

Responsibilities

Design and deploy scalable machine learning and generative AI systems
Develop end-to-end ML pipelines including data ingestion and model training
Architect LLM-powered systems integrating agents across multiple cloud platforms
Optimize ML workflows for performance, scalability, and cost efficiency
Implement MLOps best practices including CI/CD and automated retraining

Skills

Qualifications

PhD in Machine LearningMaster's in Computer ScienceBachelor's in Data Science7+ years of professional experienceProduction-grade ML system experience

About Equinix

equinix.com

Headquarters

Redwood City, California, United States

Company Size

10001+ employees

Founded

1998

View Profile

Equinix is the largest global data center and colocation provider for enterprise network and cloud computing. Secure datacenter management technologies and systems.