Senior AI/ML Engineer — Real-Time Fraud & Risk

Jobtailor; California (MO); On-site; USD 130,000 - 170,000; Full time

Job summary

Jobtailor is seeking an experienced machine learning engineer to build and deploy high-precision models for fraud detection and risk scoring. You will engineer risk signals from large-scale data and integrate ML features into real-time risk decisioning systems.

The role requires hands-on experience with Python, SQL, and PyTorch, plus strong software/data engineering skills. You will work with cross-functional teams to ship production-ready capabilities and explore LLMs for advanced detection use

Qualifications

• 8+ years building and operating production ML systems in fraud, abuse, risk domains.
• Practical experience with Python, SQL, and PyTorch.
• Experience guiding ML systems from feature engineering through production deployment and monitoring.
• Strong software and data engineering skills across ML, backend, and data infrastructure.
• Experience building with LLMs and AI agents for AI/generation-abuse use cases.
• Strong technical judgment, ownership, and ability to solve ambiguous, adversarial problems.
• Bachelor's degree or equivalent in Computer Science, Statistics, Mathematics, or related field.
• Device fingerprinting, identity verification, behavioral signals, network intelligence, or VPN/proxy detection preferred.
• Real-time risk evaluation and automated control systems preferred.
• Human-in-the-loop or AI-assisted evaluation systems preferred.
• Distributed systems and high-scale data pipelines preferred.
• Strong adversarial approach preferred.

Responsibilities

• Build and deploy high-precision ML models for fraud and risk scoring.
• Engineer risk signals from large-scale data sources.
• Integrate ML features into real-time risk decisioning systems.
• Apply LLMs and AI agents to expand detection and classification capabilities.
• Translate attack patterns into new models, signals, and mitigations.
• Evaluate solutions on accuracy, latency, cost, and impact.
• Own model evaluation, monitoring, and drift management.
• Partner with engineering, product, and risk teams to ship production-ready capabilities.

Skills

8+ years ML production systems

Python

SQL

PyTorch

LLMs / AI agents

Real-time risk evaluation

Adversarial problem solving

Data engineering

Education

Bachelor's degree in CS/Statistics/Math or related

Tools

Distributed Systems

Data Pipelines

ML Frameworks

AI Agents

Job description

Jobtailor is seeking an experienced machine learning engineer to build and deploy high-precision models for fraud detection and risk scoring. You will engineer risk signals from large-scale data and integrate ML features into real-time risk decisioning systems.

The role requires hands-on experience with Python, SQL, and PyTorch, plus strong software/data engineering skills. You will work with cross-functional teams to ship production-ready capabilities and explore LLMs for advanced detection use