Machine Learning Engineer

📋 Description

• Build and optimize data pipelines and backend services in real time.
• Develop and deploy ML models for fraud detection in production.
• Turn raw data into production-ready features for fraud detection.
• Collaborate with platform and backend engineers to integrate models.
• Maintain high standards of security, privacy, and compliance.
• Champion best practices in testing, documentation, and observability.

🎯 Requirements

• Hands-on ML with large datasets (PyTorch, scikit-learn, etc.).
• Strong SQL skills; relational and non-relational DBs.
• End-to-end ML systems: feature pipelines, deployment, monitoring.
• Excellent English communication (written and verbal).
• Bachelor's or Master's in CS, Engineering, or related field.
• CI/CD, Docker, Kubernetes and modern DevOps.

🎁 Benefits

• Generous cash and equity compensation.
• Remote-first culture; work from anywhere.
• Flexible paid time off and Year-end break.
• Health, dental, and vision coverage for employees and dependents (US/Canada).
• 4% matching in 401k / RRSP (US/Canada).
• MacBook Pro delivered to your door.