Remote ML Engineer
Tasks
- Build real-time data pipelines
- Create production ready features
- Develop and deploy fraud detection ML models
- Ensure security, privacy, and compliance
- Integrate ML models with backend services
- Maintain testing documentation and observability
- Monitor and iterate ML model performance
Perks/Benefits
- 401k match
- Dental insurance
- Flexible paid time off
- Health and wellness stipend
- Health insurance
- Home office stipend
- Learning stipend
- MacBook Pro provided
- Meal stipend
- RRSP match
- Remote-first work culture
- Social meet-up stipend
- Vision insurance
- Year-end break
Skills/Tech-stack
CI/CD | Data Pipelines | Docker | Feature Engineering | Fraud Detection | Go | Kubernetes | Model Deployment | Monitoring | Observability | PyTorch | Python | SQL | Scikit-learn
Education
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