Senior Machine Learning Engineer

Job Summary

Combining expertise in machine learning and data analysis, the full-time Senior Machine Learning Engineer will design, improve, and operate financial risk scoring systems remotely, focusing on building models and data pipelines that handle large-scale datasets while ensuring reliability and interpretability in production environments.

Key responsibilities

• Design and enhance financial risk scoring algorithms and models
• Analyze and process large-scale datasets, ensuring model accuracy and stability
• Build and maintain data processing pipelines for feature generation and model evaluation

Required qualifications

• 5+ years of senior-level experience in machine learning and data analysis
• Strong background in financial risk, fintech analytics, or fraud detection
• Experience with building and deploying production ML models
• Proficiency in Python and related libraries (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
• Deep experience with large-scale data processing and Elasticsearch or similar systems