Real-Time ML Infrastructure Engineer (Equity)

7Seventy; United States; Remote; USD 170,000 - 220,000; Full time

Benefits offered by this job

Health, dental, vision insurance forUS

MacBook Pro provided

Home office stipend

Meal stipend

Social meetup stipend

Health and wellness stipend

Learning and development stipend

401(k) matching 4%

Job summary

7Seventy is hiring a Machine Learning Engineer to build and operate production ML infrastructure for real-time fraud detection. You will own model serving systems, ensure sub-250ms latency, and manage feature pipelines and deployment workflows.

The role blends ML platform engineering, MLOps, and hands-on model development using Python, Go, Kubernetes, containers, and GCP. Security, observability, and compliance are emphasized.

Qualifications

• Hands-on experience designing and building model serving infrastructure.
• Experience owning production ML systems with incident response and reliability focus.
• Experience building self-service tooling for engineers and scientists.

Responsibilities

• Design, build, and maintain model serving infra for real-time ML inference and fraud detection.
• Develop low-latency inference systems and feature retrieval within sub-250ms budgets.
• Create deployment workflows enabling independent model deployment and rollbacks.

Skills

Python

Kubernetes

Go

Cloud (GCP)

Infrastructure as Code

CI/CD

Testing

Tools

Docker

Terraform

Git

Job description

7Seventy is hiring a Machine Learning Engineer to build and operate production ML infrastructure for real-time fraud detection. You will own model serving systems, ensure sub-250ms latency, and manage feature pipelines and deployment workflows.

The role blends ML platform engineering, MLOps, and hands-on model development using Python, Go, Kubernetes, containers, and GCP. Security, observability, and compliance are emphasized.