Base: $168,000 - $252,000 cad; bonus/equity: may b...
Fully remote
Mlops platform using kubeflow and kubernetes
Python and go proficiency
Terraform for infrastructure as code
Build an MLOps platform primarily using Kubeflow, Kubernetes, and other ML ecosystem tools for a unified ML development experience
Job Summary
Build an MLOps platform primarily using Kubeflow, Kubernetes, and other ML ecosystem tools for a unified ML development experience.
Own and develop cloud-based services end-to-end, including infrastructure as code.
Apply modern MLOps, CloudOps, and data engineering stacks to enable development, training, deployment, and lifecycle management of a variety of ML capabilities.
Matching Summary
Build an MLOps platform primarily using Kubeflow, Kubernetes, and other ML ecosystem tools for a unified ML development experience.
Salary
Base: $168,000 - $252,000 CAD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, annual refresh stock grants; Benefits: Comprehensive benefits package
Skills & Requirements
Must-have
MLOps platform using Kubeflow and Kubernetes
Python and Go proficiency
Terraform for infrastructure as code
Cloud computing (AWS, GCP)
Microservices and API development
CI/CD for ML components
Agentic AI systems
Nice-to-have
Sun-drenched optimism and drive
Courageous collaborators
Curious minds
Empathy and shared enthusiasm
LangChain and LangSmith familiarity
Key Requirements
6+ years validated industry experience
Bachelor's/Master's in Computer Science/Engineering