Senior Software Developer, ML Platform & InfrastructureWealthsimple Toronto Headquarters Full-timeFull-timeAI & Machine Learning---## About this roleWealthsimple is hiring a Senior Software Developer, ML Platform & Infrastructure (Toronto Headquarters). This is an on-site AI & machine learning role listed on the official Wealthsimple careers site.
Turn MLOps expertise to GenAI: Transition traditional ML lifecycle and serving patterns into state-of-the-art LLM inference engines and GPU orchestration systems
• Build model-routing architecture: LiteLLM integration) to dynamically direct requests across managed cloud providers (AWS Bedrock) and self-hosted open-source models
• Provision & scale GPU infrastructure: Architect and manage high-performance GPU serving environments on Kubernetes using engines like vLLM, Ray, and Triton
• Develop evaluation & benchmarking tooling: Build automated Evals and observability frameworks to empower engineers and data scientists to validate model quality, latency, and drift...
• Empower self-serve ML across Wealthsimple:



Partner with product engineering and data science teams to build framework-agnostic platform tooling that abstracts infrastructure complexityRequirements & Details:
• Drive cost & performance optimization: Improve price-performance across self-hosted and managed inference by optimizing capacity, utilization, batching, routing, and model selection while meeting quality...
• 7+ years of software engineering experience in ML Infrastructure, MLOps, ML Tooling, or Data Platform engineering
• Deep experience in MLOps/ML Platform practices: Proven track record building and operating self-serve ML platforms, model registry workflows, experiment tracking, or production serving infrastructure...
• Advanced proficiency in Python, container orchestration via Kubernetes , infrastructure-as-code ( Terraform ), and cloud provider ecosystem (AWS)
• Solid appetite to specialize in LLM serving:

📌 Senior Software Developer, ML Platform (Toronto)
🏢 Gomyneed Private
📍 Toronto