Job Description
Pursue your passion for ML with Equinix as a Principal Machine Learning Engineer in Toronto. Shape the future of generative AI and ML systems in a collaborative environment.
At Equinix, you will design, develop, and implement next-generation machine learning systems utilizing your extensive knowledge of both applied machine learning and system architecture. Work closely with various teams to evaluate options between acquiring and building generative AI applications. This role emphasizes not only engineering but also efficiency and scalability across GCP, AWS, and Azure cloud environments.
Key Responsibilities: • Design and scale LLM solutions for diverse applications • Collaborate with stakeholders to determine build vs. buy strategies • Architect robust end-to-end ML pipelines with monitoring • Optimize ML workflows for enhanced reliability and cost • Deploy and manage models with effective testing and metrics
Requirements: • PhD with 5+ years, or Master’s w...
At Equinix, you will design, develop, and implement next-generation machine learning systems utilizing your extensive knowledge of both applied machine learning and system architecture. Work closely with various teams to evaluate options between acquiring and building generative AI applications. This role emphasizes not only engineering but also efficiency and scalability across GCP, AWS, and Azure cloud environments.
Key Responsibilities: • Design and scale LLM solutions for diverse applications • Collaborate with stakeholders to determine build vs. buy strategies • Architect robust end-to-end ML pipelines with monitoring • Optimize ML workflows for enhanced reliability and cost • Deploy and manage models with effective testing and metrics
Requirements: • PhD with 5+ years, or Master’s w...