Senior ML Engineer - Offline Team

📋 Description Lead end-to-end ML training infra from data preprocessing to deployment Build and maintain scalable ML pipelines for training Own projects from ideation to production release Improve pipelines for performance, memory, and cost Enable data scientists with reusable pipeline components Ensure reproducibility across the ML lifecycle 🎯 Requirements 5+ years experience as ML Engineer or similar End-to-end ML ownership from framing to deployment Python proficiency for ML pipelines and tooling ML frameworks: scikit-learn, LightGBM, PyTorch Training mechanics and data loading patterns Cloud & Infrastructure: AWS, scalable and secure ML production awareness: feature store, skew Excellent English communication 🎁 Benefits Excellent benefits that vary by country