Drive AI innovation as a Senior MLOps Engineer with Wealthsimple in Toronto. Leverage your MLOps expertise to design cutting-edge LLM systems and GPU orchestration solutions.

Wealthsimple is seeking an experienced engineer excited about the intersection of MLOps and GenAI. With a focus on building sophisticated ML platforms, you will shape high-performance infrastructure for LLM inference across the organization. Expect hands-on work in model routing, GPU management, and robust evaluation tooling as part of our dedicated ML Infrastructure & Platform team.

Key Responsibilities:



• Transform MLOps processes to support GenAI initiatives • Architect model-routing frameworks for efficient request handling • Manage high-performance GPU environments on Kubernetes • Build evaluation and benchmarking tools for model quality • Collaborate with product and data science teams to standardize processes

Requirements: • 7+ years in ML Infrastructure or MLOps roles • Proven experience in self-serve ML platforms and model registries • Advanced knowledge in Python and Kubernetes orchestration • Robust focus on LLM serving and model optimization • Demonstrable skill in designing observable microservices

Lead the way in AI innovation by utilizing your MLOps expertise in a rewarding role at Wealthsimple.

📌 Senior MLOps Engineer at Wealthsimple (Toronto)
🏢 Wealthsimple
📍 Toronto