Machine Learning Engineer
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
CAD 94K-144K Mid-level Full Time
Tasks
- Build and maintain ML platform infrastructure using Azure
- Define platform standards patterns and best practices
- Deploy and monitor ML models and AI services in production
- Design and implement AI runtimes and services
- Design and implement scalable distributed machine learning pipelines
- Develop automation tools for self service deployment and scaling
- Develop generative AI applications with RAG systems
- Document platform architecture and deployment workflows
- Fine-tune large language models
- Integrate AI solutions into enterprise systems and workflows
Perks/Benefits
- Employee assistance program
- Health dental mental health vision insurance
- Hybrid work environment
- Incentive programs
- Paid time off
- Retirement savings plan
- Wellness benefits
Skills/Tech-stack
AKS | App Service | Azure | Azure App | Azure App Service | CI/CD | Databricks | Distributed Systems | Docker | Event Driven | Event-driven architecture | Git | Inference engineering | Java | Kubernetes | Language Models | Large Language Models | MLflow | Machine Learning | Prompt engineering | Python | REST API | Retrieval-Augmented Generation | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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