Remote Fraud Risk ML Engineer - Real-Time, Scalable Pipelines

Unchain Data; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Unlimited time off

Comprehensive health, dental, and vision plans

401(k) with 4% company match

Equity option plan

Job summary

Unchain Data is seeking an experienced ML Engineer to architect and build scalable ML systems for fraud detection. Candidates should have 5+ years of experience in ML systems, with proficiency in Python and ML frameworks.

This role offers a flexible working environment, comprehensive health plans, unlimited vacation, and equity options. Join a dynamic team that supports professional growth and impactful work in a rapidly growing payment technology firm.

Qualifications

• 5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection.
• Proven track record designing and maintaining ML models at scale.
• Strong understanding of supervised/unsupervised learning and statistical modeling.

Responsibilities

• Architect and build scalable ML systems for fraud detection.
• Develop and maintain end-to-end ML pipelines.
• Collaborate closely with engineers and data scientists across Rain.

Skills

Machine Learning systems

Fraud detection

Python

ML frameworks (e.g., PyTorch, TensorFlow)

Education

Degree in Computer Science, Engineering, Statistics, Applied Math

Tools

ML pipelines

Anomaly detection techniques

Job description

Unchain Data is seeking an experienced ML Engineer to architect and build scalable ML systems for fraud detection. Candidates should have 5+ years of experience in ML systems, with proficiency in Python and ML frameworks.

This role offers a flexible working environment, comprehensive health plans, unlimited vacation, and equity options. Join a dynamic team that supports professional growth and impactful work in a rapidly growing payment technology firm.