Senior Distributed Systems Engineer Ml

Scale production AI services at Workday, applying Python, distributed systems, and model-serving expertise from the Vancouver office and beyond.This Senior Software Development Engineer role sits within Workday’s AI Model Serving team. You will build and operate large-scale distributed systems supporting thousands of traditional machine learning models and high-throughput AI workloads. Your work includes platform architecture, production reliability, monitoring, cost visibility, and integrations with vendor-hosted models on GCP and AWS Bedrock.Key Responsibilities:
Build scalable systems for moving machine learning models into productionMaintain platform reliability through alert response and production debuggingDesign monitoring for system health, performance, and costEvaluate technologies across Workday and the broader industryDocument systems and share knowledge with engineersRequirements:
Six or more years building and operating distributed systemsBachelor’s degree in a related technical field or equivalentDeep experience designing production-grade, high-throughput platformsDeep proficiency writing production-level Python codeUnderstanding of LLM and traditional ML model operationsBring distributed systems, Python, monitoring, and machine learning platform experience to Workday’s high-throughput AI infrastructure.
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