Machine Learning Engineer
Tasks
- Build data and model pipelines
- Design and build end-to-end AI systems
- Develop backend services and APIs
- Ensure scalability, reliability, security, and performance
- Implement agent-based workflows and orchestration
- Integrate ML models and LLMs into applications
- Maintain documentation and knowledge transfer
- Manage enhancements releases and system evolution
- Operationalize model outputs in production
- Test monitor and refine ML systems
- Translate requirements into system architectures
Perks/Benefits
- Disability insurance
- Employee assistance program
- Healthcare coverage
- Life insurance
- Paid Holidays
- Paid vacation
- RRSP
- Retirement savings plans
- Tax Free Savings Plan
Skills/Tech-stack
API Integration | APIs | Data Pipelines | Language Models | Large Language Models | Machine Learning | Model Pipelines | Monitoring | Orchestration | Performance Engineering | Python | Reliability | Scalability | Security | Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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