🛠 Tech Stack

💼 About This Role

You'll architect high-performance systems that detect fraud and enforce regulatory compliance for a global money transfer platform. Your work will directly protect cross-border transactions, helping customers send money safely worldwide.

🎯 What You'll Do

• Develop and implement MLOps strategy for ML model integration
• Design, implement, and maintain scalable MLOps pipelines
• Build internal tools for versioning, model registry, CI/CD, and observability
• Collaborate with data scientists on model deployment and infrastructure

📋 Requirements

• 5+ years of professional experience in MLOps
• Experience deploying and managing ML models in production
• Knowledge of ML pipeline orchestration tools like Kubeflow, MLflow
• Strong programming skills in Python

✨ Nice to Have

• Familiarity with Golang or .NET
• Knowledge of fraud prevention, fintech, or compliance

🎁 Benefits & Perks

• 🏠 Remote work flexibility – work from anywhere
• 💰 Competitive gross compensation in USD
• 💻 Top-tier hardware
• 📚 Continuous learning with coverage for training and conferences
• 📖 Access to high-quality English lessons

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 1 hour
3. 3Team Fit Interview· 1 hour
4. 4Hiring Manager Interview· 1 hour