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