Senior MLOps Engineer at Wealthsimple
Wealthsimple Inc.
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 • 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. #J-18808-Ljbffr
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 • 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. #J-18808-Ljbffr
Reference: WJ-3875_14199584