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 Gen AI. 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 Gen AI initiatives
Architect model-routing frameworks for effective request handling
Manage high-performance GPU settings on Kubernetes




Build evaluation and benchmarking tools for model quality
Collaborate with product and data science teams to standardize processesRequirements:
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 microservicesLead the way in AI innovation by utilizing your MLOps expertise in a rewarding role at Wealthsimple.#J-18808-Ljbffr

📌 Senior Mlops Engineer At Wealthsimple Toronto (Canada)
🏢 Wealthsimple
📍 Canada