Machine Learning Engineer_Fully Remote

We are looking for a Machine Learning Engineer to develop and deploy machine learning models for credit risk and fraud detection. You will build scalable ML pipelines, optimize inference latency, and lead technical decisions for ML systems. Work fully remote with a fast-growing fintech company.

• Implement models for stable, low-latency production deployment
• Improve model accuracy and stability based on business requirements
• Maintain training and inference pipelines
• API-ize models and automate processes
• Design for retraining and performance degradation awareness
• Introduce MLOps for production

• Python ML implementation experience (scikit-learn, LightGBM)
• EDA, feature engineering, and model evaluation
• Experience formulating business problems as ML tasks
• Docker/Kubernetes and cloud (AWS/GCP) infrastructure
• CI/CD pipeline and production model deployment/operation experience
• Agentic Coding experience with Claude Code, CodeX, or Devin

• Data science in credit/fraud domains
• Experience in financial institutions or fintech