Senior ML Engineer — Real-Time Fraud & Systems

AI Talent Hunt Cloud; Los Angeles (CA); On-site; USD 175,000 - 220,000; Full time

Job summary

AI Talent Hunt is seeking a Machine Learning Engineer to design end-to-end fraud-detection systems in a remote-first setup across the US and Canada. You will work on real-time data pipelines and production ML deployments, collaborating with Go/Python backend teams to ensure scalable, secure solutions.

Ideal candidates have 5+ years in software engineering with ML and backend experience, hands-on ML with large datasets, and strong English communication skills.

Qualifications

• 5+ years in software engineering with strong backend and ML experience.
• Hands-on ML with large datasets (PyTorch, Scikit-learn).
• Experience with fraud detection or security-focused domains is a plus.
• Bachelor's or Master's degree in CS/Engineering or related field.

Responsibilities

• Build and optimize data pipelines and backend services for real-time processing.
• Develop and deploy ML models for fraud detection in production.
• Turn raw data into production-ready features for fraud systems.
• Collaborate with platform and backend engineers to integrate models.
• Maintain security, privacy, and compliance standards.
• Advocate for testing, observability, and documentation.

Skills

Backend development

ML system design

Communication in English

Go or Python proficiency

Education

BS or MS in Computer Science or related field

Tools

Go

Python

SQL

Docker

Kubernetes

PyTorch

Scikit-learn

Job description

AI Talent Hunt is seeking a Machine Learning Engineer to design end-to-end fraud-detection systems in a remote-first setup across the US and Canada. You will work on real-time data pipelines and production ML deployments, collaborating with Go/Python backend teams to ensure scalable, secure solutions.

Ideal candidates have 5+ years in software engineering with ML and backend experience, hands-on ML with large datasets, and strong English communication skills.