Job Description
Join Equinix as a Machine Learning Engineer with a focus on generative AI in Toronto. Take part in pioneering ML solutions that drive business impact across cloud platforms.
In this role, you will work on designing and deploying cutting-edge machine learning applications that integrate Large Language Models. Collaborate with experts in the Generative AI Center of Excellence to optimize ML workflows for performance and scalability. Your contributions will directly influence how Equinix develops competitive ML products.
Key Responsibilities:
• Develop LLM-based solutions for practical production use
• Collaborate on buy vs. build evaluations for AI applications
• Create comprehensive ML pipelines covering all aspects
• Implement best practices for MLOps and CI/CD environments
• Analyze and translate experimental results into actionable insights
Requirements:
• Advanced degree with 5+ years in machine learning or related area
• Proficient in Python and contai...
In this role, you will work on designing and deploying cutting-edge machine learning applications that integrate Large Language Models. Collaborate with experts in the Generative AI Center of Excellence to optimize ML workflows for performance and scalability. Your contributions will directly influence how Equinix develops competitive ML products.
Key Responsibilities:
• Develop LLM-based solutions for practical production use
• Collaborate on buy vs. build evaluations for AI applications
• Create comprehensive ML pipelines covering all aspects
• Implement best practices for MLOps and CI/CD environments
• Analyze and translate experimental results into actionable insights
Requirements:
• Advanced degree with 5+ years in machine learning or related area
• Proficient in Python and contai...
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