Job Description
📋 Description Design, build, and maintain framework-agnostic services for ML training, inference, evaluation, and Develop scalable ML infrastructure to move models from experimentation to production. Define roadmaps and architecture for ML platform capabilities. Build high-performance systems using Kubernetes and Ray. Collaborate with product, engineering, infrastructure, and data teams. Own projects from concept to deployment and maintenance. 🎯 Requirements 5+ years in production-ready software services. 5+ years in ML infrastructure, ML tooling, or ML engineering. 3+ years professional Python experience. Proven experience building scalable, observable systems. Strong knowledge of software architecture and distributed systems. Experience owning end-to-end projects. 🎁 Benefits Competitive CA$152,900 – CA$189,000 base salary depending on experience, skills, and location. Equity compensation opportunities. Comprehensive health benefits and life insurance. Employer-matched group savings program. 20 vacation days, wellness days, flexible sick and mental health days. Ability to work outside Canada for up to 90 days/year.
