Machine Learning Engineer

Job Summary

To support advanced fraud detection efforts, the full-time remote Machine Learning Engineer will design and optimize data pipelines and backend systems, develop and deploy ML models, and ensure they operate efficiently at scale.

Key responsibilities

• Build and optimize data pipelines and backend services for real-time processing of device and behavioral data
• Develop and deploy ML models for fraud detection, ensuring reliability and efficiency in production
• Collaborate with platform and backend engineers to seamlessly integrate models into existing systems

Required qualifications

• Hands-on experience with applied ML using large datasets (e.g., PyTorch, Scikit-learn)
• Strong SQL skills and familiarity with relational and non-relational databases
• Experience with end-to-end ML systems, including feature pipelines and model deployment
• Bachelor's or Master's in Computer Science, Engineering, or a related discipline
• Excellent communication skills in English, both written and verbal