Shape the future of AI technology as a Lead MLOps Engineer with Workday in Toronto, Canada. Engage in designing cutting-edge microservices and cloud infrastructure to enhance machine learning capabilities.
This senior role involves architecting distributed systems to optimize Workday's ML ecosystem. You will focus on building scalable solutions using Python and Go while leading CI/CD workflows. Your expertise will drive the development of robust microservices and APIs, supporting innovative Agentic AI applications across the organization.
Key Responsibilities:
• Architect high-throughput microservices and APIs for ML
• Build and optimize unified ML development experiences
• Own end-to-end lifecycle of cloud services using Terraform
• Lead architecture and code reviews for reliability standards
• Collaborate with data scientists and ML engineers on solutions
Requirements:
• 6+ years of industry experience in software development
• Bachelor's or Master's in ...