Found Description
Drive innovation as an AI Systems Engineer at Equinix in Toronto. Leverage your expertise in machine learning and data integration to build and operationalize intelligent solutions.
Equinix seeks a talented ML Engineer to design and integrate AI-powered systems. This pivotal role involves translating business needs into technical solutions using machine learning models, APIs, and enterprise data. You'll collaborate with Data Scientists and application teams to create scalable, production-grade systems while ensuring high performance and security.
Key Responsibilities:
• Design end-to-end AI systems integrating ML models and APIs
• Translate business needs into scalable system architectures
• Develop backend services for operationalizing AI systems
• Implement robust data pipelines using structured and unstructured data
• Collaborate with cross-functional teams for production system integration
Requirements:
• 5+ years of software engineering or AI/ML experien...
Equinix seeks a talented ML Engineer to design and integrate AI-powered systems. This pivotal role involves translating business needs into technical solutions using machine learning models, APIs, and enterprise data. You'll collaborate with Data Scientists and application teams to create scalable, production-grade systems while ensuring high performance and security.
Key Responsibilities:
• Design end-to-end AI systems integrating ML models and APIs
• Translate business needs into scalable system architectures
• Develop backend services for operationalizing AI systems
• Implement robust data pipelines using structured and unstructured data
• Collaborate with cross-functional teams for production system integration
Requirements:
• 5+ years of software engineering or AI/ML experien...
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