Senior Software Developer, ML Ops
Tasks
- Build high performance ML infrastructure
- Build machine learning self service platform
- Collaborate cross-functional teams
- Define ML platform architecture decisions
- Design and build ML training services
- Design scalable ML infrastructure
- Develop ML tooling and workflows
- Develop deploy and operate ML and AI solutions
- Develop inference services
- Implement Kubernetes based systems
- Implement model evaluation pipelines
- Improve platform reliability
- Optimize performance
- Own projects end to end
- Set up monitoring and observability
- Support ML platform developer experience
Perks/Benefits
- Employee resource groups
- Employer Matched Savings Program
- Equity compensation
- Flexible sick days
- Health benefits
- Life insurance
- Remote-friendly work environment
- Vacation days
- Wellness days
- Work Outside Canada Up To 90 Days
Skills/Tech-stack
CUDA | DVC | Distributed Systems | FastAPI | Feature Store | Kubernetes | MLflow | Observability | Performance optimization | PyTorch | Python | Ray | Software Architecture | Transformers | Triton | VLLM | Vector Database
Education
N/A
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