Real-Time ML Ops Engineer — Global Payments (Equity)

Coinflow Labs; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Coinflow Labs is seeking an MLOps Engineer to own the platform that brings fraud, risk, and payments models from notebook to production. You’ll design pipelines, serving infra, and monitoring to score transactions in real time with robustness and explainability.

You’ll handle end-to-end ML pipelines, feature store work, and safe rollouts, working with AI-native tooling and modern cloud infrastructure in a fast-growing PSP environment.

Qualifications

• 4+ years in MLOps, ML infrastructure, or ML platform engineering in fintech or regulated environment.

Responsibilities

• Real-Time Model Serving: build and operate inference layer with low latency.
• ML Pipelines & Feature Store: train, validate, deploy pipelines with point-in-time correctness.
• Model Deployment & Rollout: versioning, registries, canary rollouts, rollback with eval gates.
• Monitoring & Drift Detection: track latency, distributions, drift, outcomes.
• Third-Party Model Integration: compare external vendors vs. internal models.
• Merchant-Facing Risk Tooling: support merchant risk scoring and rules.

Skills

Python

TypeScript/Node

MLOps

Real-time inference

Data engineering

Kubernetes

Containers

CI/CD

Cloud platforms

ML monitoring

Fraud/Risk modeling

AI-native tooling

Model versioning

Tools

MLflow

Kubeflow

SageMaker

Vertex

BentoML

Feast

Job description

Coinflow Labs is seeking an MLOps Engineer to own the platform that brings fraud, risk, and payments models from notebook to production. You’ll design pipelines, serving infra, and monitoring to score transactions in real time with robustness and explainability.

You’ll handle end-to-end ML pipelines, feature store work, and safe rollouts, working with AI-native tooling and modern cloud infrastructure in a fast-growing PSP environment.