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 productive 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
- Strong 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