Machine Learning Engineer

Role Overview

MeeBoss is hiring a Machine Learning Engineer to design and build production-grade ML systems for real-time fraud detection. You will own end-to-end ML solutions—from data pipelines and feature engineering to model deployment, monitoring, and integration with backend infrastructure.

What You’ll Do

• Build and optimize real-time data pipelines and backend services for device and behavioral data
• Develop, deploy, and maintain fraud detection ML models in production
• Design scalable feature pipelines from raw data
• Collaborate with backend/platform teams to integrate ML models into production systems
• Monitor model performance, detect drift, and continuously improve model accuracy
• Maintain high standards for security, privacy, reliability, and compliance
• Follow best practices for testing, documentation, and observability
• Contribute to scalable backend services using Go and Python

Requirements

• B.S. or M.S. in Computer Science, Engineering, or related field
• 5–8 years of software engineering experience with strong backend development and applied ML
• Experience building and deploying end-to-end ML systems (feature engineering pipelines, deployment, monitoring, drift detection, continuous improvement)
• Strong backend experience in Go or Python
• Experience building latency-sensitive ML systems for real-time predictions
• Strong SQL skills; experience with relational and NoSQL databases
• Excellent written and verbal English communication
• Ability to work independently in a fast-paced remote environment

Nice to Haves

• Not explicitly stated