Real-Time MLOps Engineer for Fintech Payments

Hivemind Capital Partners LLC; Chicago (IL); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

Coinflow, proudly headquartered in Chicago, IL, seeks an MLOps Engineer to own the platform that moves fraud, risk, and payments models from notebook to production. You’ll build pipelines, serving infra, and monitoring to score every transaction in real time with low latency and high explainability.

You’ll work with AI-native tooling and a strong production mindset to automate model operations, deploy safely, and monitor drift, using Python, TypeScript/Node, Kubernetes, and cloud platforms.

Qualifications

• 4+ years in MLOps, ML infrastructure, or ML platform engineering.
• Production models with real-time latency and uptime requirements.
• Experience with AI-native tooling and cloud infrastructure.

Responsabilités

• Real-Time Model Serving: inference layer for scoring transactions.
• ML Pipelines & Feature Store: training, validation, deployment pipelines.
• Model Deployment & Rollout: versioning, registries, canary rollouts, rollbacks.
• Monitoring & Drift Detection: latency, distributions, drift, business impact.

Connaissances

Python

TypeScript/Node

Production engineering

Kubernetes

CI/CD

Cloud platforms

Data pipelines

Outils

MLflow

Kubeflow

SageMaker

Vertex AI

Feast

BentoML

Description du poste

Coinflow, proudly headquartered in Chicago, IL, seeks an MLOps Engineer to own the platform that moves fraud, risk, and payments models from notebook to production. You’ll build pipelines, serving infra, and monitoring to score every transaction in real time with low latency and high explainability.

You’ll work with AI-native tooling and a strong production mindset to automate model operations, deploy safely, and monitor drift, using Python, TypeScript/Node, Kubernetes, and cloud platforms.