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 effective 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
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